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Książki, ebooki, kursy video z kategorii: Uczenie maszynowe dostępne w księgarni Helion
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TensorFlow is the leading framework for deep learning algorithms critical to artificial intelligence, and natural language processing (NLP) makes much of the data used by deep learning applications accessible to them. This book brings the two together and teaches deep learning developers how to work with today’s vast amount of unstructured d
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Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
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Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications.
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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This book demonstrates various machine learning techniques and their implementation in JavaScript. Build models to power your applications with smart, predictive features. From predicting future prices, analyzing sentiments to medical diagnosis, this book shows you how to use the power of JavaScript to build efficient machine learning systems.
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Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
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This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make the machine learn your requirements.
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Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models
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Create smart systems to extract intelligent insights for decision making. You will learn about widely used Artificial Intelligence techniques for carrying out solutions in a production-ready environment. You'll explore advanced topics such as clustering, symbolic and sub-symbolic information representation, and many more.
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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Qt 5, the latest version of Qt, enables you to develop applications with complex user interfaces for multiple targets. It provides you with faster and smarter ways to create modern UIs and applications for multiple platforms. This book will teach you to design and build graphical user interfaces that are functional, appealing, and user-friendly.
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Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework
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This book demonstrates a set of simple to complex problems you may encounter while building machine learning models. You'll not only learn the best possible solutions to these problems but also find out how to build projects based on each problem mentioned in the book, with a practical approach and easy-to-follow examples.
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Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python
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This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions. This book covers the necessary foundations and shows the most practical ways possible to get to speed with regards to creating AutoML modules.
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Reinforcement learning allows you to develop intelligent, self-learning systems. This book shows you how to put the concepts of Reinforcement Learning to train efficient models.You will use popular reinforcement learning algorithms to implement use-cases in image processing and NLP, by combining the power of TensorFlow and OpenAI Gym.
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Reinforcement Learning with TensorFlow. A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym Reinforcement Learning with TensorFlow. A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
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This book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge architectures and apply advanced concepts to your own projects. Develop your knowledge of deep neural networks through hands-on model building and examples of real-world data collection.
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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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This book will uncover the new features in Splunk 7 along with the best practices. You will learn to build navigable search operations, perform intuitive statistical analysis and design visually appealing dashboards for your IT infrastructure. With practical scenarios, you'll be able to design cohesive Splunk apps and deploy it to Splunk cloud.
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Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition
J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman
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This book is your guide to master deep learning with TensorFlow, with the help of 10 real-world projects. You will train high-performance models in TensorFlow to generate captions for images automatically, predict stocks' performance, create intelligent chatbots, perform large-scale text classification, develop recommendation systems, and more.
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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani
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Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google’s brainchild, is imm
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TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
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This book is a practical guide to applying deep neural networks including MLPs, CNNs, LSTMs, and more in Keras and TensorFlow. Packed with useful hacks to solve real-world challenges along with the supported math and theory around each topic, this book will be a quick reference for training and optimize your deep neural networks.
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Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
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Promocja
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, und- ePub + Mobi pkt
TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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259.00 zł(-15%) -
Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer vision, language processing, and other real-world problems.
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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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Machine learning has become a hot topic for developers who want to impart intelligent functionality to their applications. In this book, we'll show you how to incorporate various machine learning libraries available for iOS developers. You’ll quickly get acquainted with the machine learning fundamentals and implement various algorithms with
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Machine Learning with Swift. Artificial Intelligence for iOS Machine Learning with Swift. Artificial Intelligence for iOS
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This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video datasets. By the end of the book you will learn CNN’s best practices to implement smart ConvNet mod
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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With the rise of drone utility, the rise of DIY projects has significantly increased. Programmers are rapidly moving from traditional application programming to developing exciting multi-utility projects. This book's sole motto is to teach you to build industry-level drones with Arduino and ESP8266.
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Building Smart Drones with ESP8266 and Arduino. Build exciting drones by leveraging the capabilities of Arduino and ESP8266 Building Smart Drones with ESP8266 and Arduino. Build exciting drones by leveraging the capabilities of Arduino and ESP8266
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This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet, Inception, and encoder-decoder without diving deep into the math of it. It shows how you can implement and use various architectures to solve problems in the area of image classification, language translation and NLP using PyTorch.
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generat
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Computer Vision is a broadly used term associated with acquiring, processing, and analyzing images. This book will show you how you can perform various Computer Vision techniques in the most practical way possible. Right from capturing images from various sources, you will learn how to perform image filtering/manipulation and detect features in you
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Scala is one of the widely used programming language in the world when it comes to handle large amount of data. With the rise of machine learning, data scientists and machine learning experts do prefer scala as a language in order to handle and scale efficient machine learning applications. You will be acquainted with the popular deep/machine learn
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Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
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Deep Learning is one of the trending topics in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning. This book will help you take your first steps when it comes to training efficient deep learning models, and apply them in various practical scenarios. You will model, train and deploy different
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, image
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet
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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python
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OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition
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Developers have been using OpenCV library to develop computer vision applications for a long time. However, they now need a more effective tool to get the job done and in a much better and modern way. Qt is one of the major frameworks available for this task at the moment. This book will teach you to develop applications with the combination of Ope
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Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications
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The book is designed in such a way that you can explore it chapter-by-chapter or skip any chapter without missing a beat. If you are a network operator and want to use Cacti for implementing performance measurement for trending, troubleshooting, and reporting purposes, then this book is for you. You only need to know the basics of network managemen
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Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
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Deep Neural Networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning, and implement different deep learning networks with easy to follow independent recipes.
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Statistics is an absolute must prerequisite for any task in the area of data science. This is also the most feared hindrance for developers to entering in the data science field. This book will start off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for the statistical comput
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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If you’re aware of the buzz surrounding the terms such as machine learning, artificial intelligence or deep learning, you might know what neural networks are. TensorFlow is a popular framework which can be used to implement efficient neural networks and deep learning models. This book will show you how to leverage the power of TensorFlow to
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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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Deep Learning is a rapidly evolving field of Machine Learning science which gives machines the ability to learn from information. This book contains detailed recipes to tackle with the common and not so common problems while dealing with deep learning algorithms and models in Python.You will benefit from this book by finding technical solutions to
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Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
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Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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The R language is a powerful open source functional programming language. At its core, R is a statistical language that provides impressive tools to analyze data and create high-level graphics.This book covers the basics of R by setting up a user-friendly programming environment and programming ETL in R. Data exploration examples are provided that
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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The book helps you learn neural networks and implement them in R. It covers real-world use cases that will help you better understand their concepts. A basic understanding of R and mathematics is required.
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real world sc
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Do you have a colleague who always seems to be organized, finishes tasks on time, meets every deadline, and that too with a smile on their face? If you ever wanted to become that IT developer/ manager/administrator who is not just a perfect employee, but also has brilliant balance and composure over their emotional intelligence, then this book is f
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Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
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Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues develo
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Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
Siamak Amirghodsi, Shuen Mei, Meenakshi Rajendran, Broderick Hall
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This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you’ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build a foundation for machine learning using MATLAB for beginners. It will also help you learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB.
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Promocja
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NL- ePub + Mobi pkt
Learning TensorFlow. A Guide to Building Deep Learning Systems Learning TensorFlow. A Guide to Building Deep Learning Systems
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
Deep Learning is the next big thing. It is a part of machine learning. Its favorable results in application with huge and complex data is remarkable. This book will help you to get through the problems that you face during the execution of different tasks and understand hacks in deep learning, neural networks, and advanced machine learning techniqu
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel is your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and ga
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data! Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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This book covers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions easy.Practical code examples address supervised, unsupervised, generative and reinforcement learning for image recognition, natural language processing, or game strategy, with best performing nets and principles.
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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Promocja
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functiona
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Machine Learning for OpenCV. Intelligent image processing with Python Machine Learning for OpenCV. Intelligent image processing with Python
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As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.This book will put you straight to work in creating powerful and unique computer vision ap
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
Shervin Emami, David Millán Escrivá, Daniel Lelis Baggio, Roy Shilkrot, Eugene Khvedchenia, Jason Saragih
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Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants
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Keras is a high-level neural network library written in Python that runs on top of either Theano or TensorFlow. With this book, you’ll learn the basics of Keras in a highly practical way and understand how this minimal, highly modular framework runs on both CPU and GPU, allowing you to put your ideas into action in the shortest possible time
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Machine learning is concerned with algorithms for transforming data into actionable intelligence and predictive analytics. Deep learning is a branch of machine learning based on multiple levels of representations. This book introduces the core concepts of deep learning using the latest version of TensorFlow to get implementation and research detail
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Deep Learning with TensorFlow. Explore neural networks with Python Deep Learning with TensorFlow. Explore neural networks with Python
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Create intelligent apps with vision, speech, language and knowledge capabilities using Microsoft Cognitive Services. Harness the power of all 21 APIs released as part of the platform, and discover how they can be combined to build real-word apps with cognitive capabilities. Learn how to easily add these features for smarter, more human-like applica
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Learning Microsoft Cognitive Services. Click here to enter text Learning Microsoft Cognitive Services. Click here to enter text
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This book is designed to guide you through TensorFlow and how to use it effectively. You’ll be able to apply it for complex data computations, gain insights into your data, and more. Throughout the book, you’ll work through the recipes and get hands-on experience.
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition
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This Hyper-V book is designed to help advanced-level administrators benefit fully from the new Windows Server. With over 80 hands-on recipes, the Hyper-V Cookbook gives you tips, tricks and best practices to deploy, maintain and upgrade your virtual machines.
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Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
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Promocja
Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algo- ePub + Mobi pkt
Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
(126,65 zł najniższa cena z 30 dni)
126.65 zł
149.00 zł(-15%) -
Promocja
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine- ePub + Mobi pkt
Introduction to Machine Learning with Python. A Guide for Data Scientists Introduction to Machine Learning with Python. A Guide for Data Scientists
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
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Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning
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Large Scale Machine Learning with Python. Click here to enter text Large Scale Machine Learning with Python. Click here to enter text
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Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
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Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
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Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
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Building a Recommendation System with R. Learn the art of building robust and powerful recommendation engines using R Building a Recommendation System with R. Learn the art of building robust and powerful recommendation engines using R
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Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
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This second edition provides focused and practical knowledge to help you to build algorithms and crunch your data. You'll learn how to apply machine learning methods to deal with common tasks, discover the analytical tools that you need to gain insights from complex data, and choose the correct algorithm for your specific needs.
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Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
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Apache Mahout Essentials. Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout Apache Mahout Essentials. Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
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Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
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Learning Apache Mahout. Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout Learning Apache Mahout. Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout
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Scala for Machine Learning. Leverage Scala and Machine Learning to construct and study systems that can learn from data Scala for Machine Learning. Leverage Scala and Machine Learning to construct and study systems that can learn from data
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R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment
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Promocja
Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers- ePub + Mobi pkt
Thoughtful Machine Learning. A Test-Driven Approach Thoughtful Machine Learning. A Test-Driven Approach
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Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team can design an effective large-scale recommendation system.- ePub + Mobi pkt
Practical Machine Learning: Innovations in Recommendation Practical Machine Learning: Innovations in Recommendation
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Finding Data Anomalies You Didn't Know to Look ForAnomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O- ePub + Mobi pkt
Practical Machine Learning: A New Look at Anomaly Detection Practical Machine Learning: A New Look at Anomaly Detection
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Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning
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Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’- ePub + Mobi pkt
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If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-o- ePub + Mobi pkt
Machine Learning for Hackers. Case Studies and Algorithms to Get You Started Machine Learning for Hackers. Case Studies and Algorithms to Get You Started
(152,15 zł najniższa cena z 30 dni)
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If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion,- ePub + Mobi pkt
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Jakie książki pozwolą na praktyczną naukę uczenia maszynowego?
Zastanawiasz się czym jest Uczenie Maszynowe (Machine Learning)? To technika programowania komputerów, które uczą się wykonywać określone zadania na podstawie ogromnych ilości zebranych danych. W wielu przypadkach to rozwiązanie sprawdza się znacznie lepiej niż tradycyjne metody programowania, szczególnie w obszarach, gdzie trudno jest sformułować jasne reguły decyzyjne. Jeśli szukasz praktycznych przykładów uczenia maszynowego, to książki z tej kategorii oferują wiele case studies i analiz. Nasza oferta obejmuje różnorodne książki, które skupiają się na wszystkich najważniejszych aspektach uczenia maszynowego.
Uczenie maszynowe jak zacząć? – książki dla początkujących
Jeśli dopiero zaczynasz swoją przygodę z tą dziedziną, polecamy książkę "Jak projektować systemy uczenia maszynowego”, która omawia temat uczenia maszynowego od podstaw. Znajdziesz tu także praktyczne poradniki, takie jak "Uczenie maszynowe dla programistów" czy „Uczenie głębokie od zera”, które krok po kroku pokażą Ci, jak zacząć przygodę z uczeniem maszynowym czy uczeniem głębokim. Książki te sprawnie wprowadzą Cię także w zagadnienia związane z metodami uczenia nadzorowanego i nienadzorowanego, omówią kluczowe algorytmy i dostarczą liczne przykłady uczenia maszynowego.
Uczenie maszynowe i Python: książki dla programistów
Jeśli Twoim językiem programowania jest Python, to mamy dla Ciebie wiele propozycji książek. Język ten idealnie nadaje się do programowania mechanizmów uczenia maszynowego. Znajdziesz tu takie książki jak „Uczenie maszynowe w Pythonie. Receptury” oraz „Machine learning, Python i data science. Wprowadzenie” czy „Uczenie maszynowe z użyciem Scikit-Learn, Keras i TensorFlow”, dzięki którym dowiesz się jak korzystać z bibliotek takich jak scikit-learn czy TensorFlow, by efektywnie budować i trenować inteligentne modele.
Uczenie maszynowe a sztuczna inteligencja: książki dla zaawansowanych
Różnica między uczeniem maszynowym a sztuczną inteligencją jest często niejasna. W skrócie, sztuczna inteligencja to szeroki obszar informatyki skupiający się na tworzeniu inteligentnych systemów i maszyn, podczas gdy uczenie maszynowe to jedna z technik stosowanych w AI. Wiele osób interesuje się również sieciami neuronowymi, które stanowią podstawę dla głębokiego uczenia maszynowego - jednego z najgorętszych tematów w dziedzinie AI.
W naszej ofercie znajdziesz również książki opisujące różne algorytmy uczenia maszynowego, w tym drzewa decyzyjne, oraz metody uczenia maszynowego, takie jak uczenie nienadzorowane,
Nie ważne, czy jesteś początkującym entuzjastą czy doświadczonym programistą, nasza oferta obejmuje książki dla każdego. A jeśli preferujesz materiały w formie elektronicznej, nie zapomnij sprawdzić naszych książek w formacie PDF, EPUB czy MOBI.
Zachęcamy do odkrywania świata uczenia maszynowego poprzez nasze książki, które rozwijają umiejętności i otwierają drzwi do nowoczesnej analizy danych i sztucznej inteligencji.