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Tytuły książek(ebooki, audiobooki) wydawnictwa: O'Reilly Media
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Designing Machine Learning Systems
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Applied Machine Learning and AI for Engineers
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Deep Learning for Finance
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Building Machine Learning Pipelines
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Effective Machine Learning Teams
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Implementing MLOps in the Enterprise
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Machine Learning for High-Risk Applications
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. 3rd Edition
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Natural Language Processing with Transformers, Revised Edition
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Modern Mainframe Development
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Machine Learning for Financial Risk Management with Python
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Reliable Machine Learning
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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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Practical Simulations for Machine Learning
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Fundamentals of Deep Learning. 2nd Edition
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Probabilistic Machine Learning for Finance and Investing
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Generative Deep Learning. 2nd Edition
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Machine Learning and Data Science Blueprints for Finance
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Practical Time Series Analysis. Prediction with Statistics and Machine Learning
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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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Deep Learning at Scale
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Hands-On Entity Resolution
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Machine Learning Interviews
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Training Data for Machine Learning
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Delta Lake: Up and Running
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Architecting Data and Machine Learning Platforms
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Scaling Machine Learning with Spark
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Practicing Trustworthy Machine Learning
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Hands-On Healthcare Data
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Tidy Modeling with R
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Designing Autonomous AI
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Practical Weak Supervision
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PyTorch Pocket Reference
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Kubeflow Operations Guide
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Practical Fairness
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Introducing MLOps
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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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Building Machine Learning Powered Applications. Going from Idea to Product
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TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
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Practical Automated Machine Learning on Azure. Using Azure Machine Learning to Quickly Build AI Solutions
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Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
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Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
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The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
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Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Deep Learning. A Practitioner's Approach
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Thoughtful Machine Learning with Python. A Test-Driven Approach
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Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Thoughtful Machine Learning. A Test-Driven Approach
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Practical Machine Learning: Innovations in Recommendation
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Practical Machine Learning: A New Look at Anomaly Detection
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Natural Language Annotation for Machine Learning
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Machine Learning for Hackers. Case Studies and Algorithms to Get You Started
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Machine Learning for Email. Spam Filtering and Priority Inbox
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Designing Data Visualizations. Representing Informational Relationships