Książki o uczeniu maszynowym dla początkujących i zaawansowanych - książki
Książki, ebooki, audiobooki, kursy video z kategorii: Uczenie maszynowe dostępne w księgarni Helion
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Practical Deep Reinforcement Learning with Python
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Tidy Modeling with R
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Generative Deep Learning. 2nd Edition
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Think AI
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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Designing Autonomous AI
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Practical Simulations for Machine Learning
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Natural Language Processing with Transformers, Revised Edition
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Designing Machine Learning Systems
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Combining DataOps, MLOps and DevOps
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Fundamentals of Deep Learning. 2nd Edition
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Network Programming in Python : The Basic
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
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Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
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Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
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Practical Machine Learning with Spark
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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The Kaggle Book. Data analysis and machine learning for competitive data science
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Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
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Python Text Mining
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Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
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Mastering TensorFlow 2.x
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Modern Mainframe Development
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Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud
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Hands-On Artificial Intelligence for Android
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A Journey to Core Python
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Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
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Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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Machine Learning for Financial Risk Management with Python
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Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
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Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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Continuous Machine Learning with Kubeflow
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Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
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Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
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Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
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Hands-On Julia Programming
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Learn AI with Python
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Reliable Machine Learning
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Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
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Practical Weak Supervision
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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Applied Machine Learning Solutions with Python
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Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
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Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
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An Introduction to Python Programming: A Practical Approach
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Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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AI and Machine Learning for On-Device Development
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Practical Machine Learning for Computer Vision
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Wzorce projektowe uczenia maszynowego. Rozwiązania typowych problemów dotyczących przygotowania danych, konstruowania modeli i MLOps
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Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
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Elements of Deep Learning for Computer Vision
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Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
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Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
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Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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PyTorch Pocket Reference
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
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Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale
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Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
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Practical Data Science with Jupyter
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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Python Interview Questions
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Statistics for Machine Learning
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Demystifying Artificial intelligence
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Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
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Big Data Hadoop Interview Guide
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Kubeflow Operations Guide
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Practical Fairness
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Introducing MLOps
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Machine Learning for Finance
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Up and Running Google AutoML and AI Platform
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Machine Learning Cookbook with Python
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
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Python Machine Learning by Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
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Machine Learning Design Patterns
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Artificial Intelligence in Finance
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Kubeflow for Machine Learning
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AI and Machine Learning for Coders
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Machine Learning and Data Science Blueprints for Finance
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Praktyczne uczenie nienadzorowane przy użyciu języka Python
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Uczenie maszynowe na Raspberry Pi
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Wprowadzenie do uczenia maszynowego według Esposito
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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97 Things About Ethics Everyone in Data Science Should Know
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Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition
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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
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Building Machine Learning Pipelines
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Natural Language Processing with Spark NLP. Learning to Understand Text at Scale
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Data Science and Machine Learning Interview Questions Using R
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Practical Natural Language Processing. A Comprehensive Guide to Building Real-World NLP Systems
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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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The Today and Future of WSN, AI, and IoT
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Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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Data Science for Business Professionals
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Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
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Pragmatic Machine Learning with Python
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
