Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Packt Publishing - ebooki
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Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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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
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Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications
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Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Machine Learning for OpenCV. Intelligent image processing with Python
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Deep Learning with TensorFlow. Explore neural networks with Python
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Learning Microsoft Cognitive Services. Click here to enter text
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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
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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
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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
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Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
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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
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Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
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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
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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
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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
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Learning Apache Mahout. Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout
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Moodle Grad
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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
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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