O’Reilly Media is an internationally recognized, multi-faceted media company that has played a seminal role in the Internet revolution. Through its books, events, online training courses, webcasts, and evangelism, O’Reilly has educated a generation of technologists and entrepreneurs and shaped the dialogue about the future direction of the industry. The company has played an enormous role in the evolution and adoption of the World Wide Web, open source software, big data, and the Maker movement.
O'Reilly Media - ebooki
-
Effective Machine Learning Teams
-
Hands-On Entity Resolution
-
Deep Learning for Finance
-
Implementing MLOps in the Enterprise
-
Machine Learning Interviews
-
Training Data for Machine Learning
-
Delta Lake: Up and Running
-
Architecting Data and Machine Learning Platforms
-
Probabilistic Machine Learning for Finance and Investing
-
Graph-Powered Analytics and Machine Learning with TigerGraph
-
Machine Learning for High-Risk Applications
-
Scaling Machine Learning with Spark
-
Practicing Trustworthy Machine Learning
-
Applied Machine Learning and AI for Engineers
-
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. 3rd Edition
-
Hands-On Healthcare Data
-
Tidy Modeling with R
-
Generative Deep Learning. 2nd Edition
-
Designing Autonomous AI
-
Practical Simulations for Machine Learning
-
Natural Language Processing with Transformers, Revised Edition
-
Designing Machine Learning Systems
-
Fundamentals of Deep Learning. 2nd Edition
-
Modern Mainframe Development
-
Machine Learning for Financial Risk Management with Python
-
Reliable Machine Learning
-
Practical Weak Supervision
-
AI and Machine Learning for On-Device Development
-
Practical Machine Learning for Computer Vision
-
PyTorch Pocket Reference
-
Kubeflow Operations Guide
-
Practical Fairness
-
Introducing MLOps
-
Machine Learning Design Patterns
-
Artificial Intelligence in Finance
-
Kubeflow for Machine Learning
-
AI and Machine Learning for Coders
-
Machine Learning and Data Science Blueprints for Finance
-
Building Machine Learning Pipelines
-
Building Machine Learning Powered Applications. Going from Idea to Product
-
TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
-
Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
-
Practical Automated Machine Learning on Azure. Using Azure Machine Learning to Quickly Build AI Solutions
-
Practical Time Series Analysis. Prediction with Statistics and Machine Learning
-
Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
-
Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
-
The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
-
Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
-
Deep Learning Cookbook. Practical Recipes to Get Started Quickly
-
TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
-
Machine Learning and Security. Protecting Systems with Data and Algorithms
-
Learning TensorFlow. A Guide to Building Deep Learning Systems
-
Deep Learning. A Practitioner's Approach
-
Thoughtful Machine Learning with Python. A Test-Driven Approach
-
Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
-
Introduction to Machine Learning with Python. A Guide for Data Scientists
-
Thoughtful Machine Learning. A Test-Driven Approach
-
Practical Machine Learning: Innovations in Recommendation
-
Practical Machine Learning: A New Look at Anomaly Detection
-
Natural Language Annotation for Machine Learning
-
Machine Learning for Hackers. Case Studies and Algorithms to Get You Started
-
Machine Learning for Email. Spam Filtering and Priority Inbox
-
Designing Data Visualizations. Representing Informational Relationships