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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.
Tytuły książek(ebooki, audiobooki) wydawnictwa: O'Reilly Media
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Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Fundamentals of Data Engineering
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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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Artificial Intelligence with Microsoft Power BI
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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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AI-Powered Business Intelligence
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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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97 Things Every Data Engineer Should Know
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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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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
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Data Science for Business. What You Need to Know about Data Mining and Data-Analytic Thinking
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Probabilistic Machine Learning for Finance and Investing
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The Enterprise Data Catalog
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Data Quality Fundamentals
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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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Deciphering Data Architectures
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Predictive Analytics for the Modern Enterprise
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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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Data Pipelines Pocket Reference
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Think Stats. 2nd Edition
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Implementing Data Mesh
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Data Visualization with Microsoft Power BI
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Practical Lakehouse Architecture
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Deep Learning at Scale
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Data Modeling with Microsoft Power BI
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Augmented Analytics
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Hands-On Entity Resolution
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Automating Data Quality Monitoring
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Machine Learning Interviews
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Training Data for Machine Learning
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Data Science: The Hard Parts
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Delta Lake: Up and Running
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Architecting Data and Machine Learning Platforms
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Amazon Redshift: The Definitive Guide
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Learning Data Science
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Fundamentals of Data Observability
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Data Curious
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Cost-Effective Data Pipelines
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Embedded Analytics
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Streaming Data Mesh
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Data Management at Scale. 2nd Edition
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Building an Event-Driven Data Mesh
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Scaling Machine Learning with Spark
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Practicing Trustworthy Machine Learning
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Data Quality Engineering in Financial Services
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Learning Microsoft Power BI
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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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Data Algorithms with Spark
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Data Mesh
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Communicating with Data
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Practical Weak Supervision
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Tableau Strategies
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PyTorch Pocket Reference
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Hands-On Data Visualization
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Kubeflow Operations Guide
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Practical Fairness
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Introducing MLOps
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Tableau Desktop Cookbook
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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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The Self-Service Data Roadmap
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Semantic Modeling for Data
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Tableau Prep: Up & Running
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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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Innovative Tableau. 100 More Tips, Tutorials, and Strategies
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The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
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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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Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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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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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
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Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Introduction to Machine Learning with R. Rigorous Mathematical Analysis
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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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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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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Thoughtful Machine Learning with Python. A Test-Driven Approach
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Efficient R Programming. A Practical Guide to Smarter Programming
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Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI
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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Understanding Compression. Data Compression for Modern Developers
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Data Analytics with Hadoop. An Introduction for Data Scientists
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The New Relational Database Dictionary. Terms, Concepts, and Examples
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Big Data for Chimps. A Guide to Massive-Scale Data Processing in Practice
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Sharing Big Data Safely. Managing Data Security
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Creating a Data-Driven Organization