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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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The Staff Engineer's Path
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Fundamentals of Data Engineering
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Designing Machine Learning Systems
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Leading Effective Engineering Teams
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Applied Machine Learning and AI for Engineers
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Lean UX. 3rd Edition
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97 Things Every Engineering Manager Should Know. Collective Wisdom from the Experts
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Managing Startups: Best Blog Posts
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Deep Learning for Finance
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Building Machine Learning Pipelines
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The Engineering Leader
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Software Engineering for Data Scientists
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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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Practical Salesforce Architecture
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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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The Myths of Innovation
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The Engineering Executive's Primer
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Head First Software Architecture
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Understanding DeFi
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Building a Cyber Risk Management Program
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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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Lean Enterprise
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Practical Time Series Analysis. Prediction with Statistics and Machine Learning
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The Hardware Startup. Building Your Product, Business, and Brand
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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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Continuous Deployment
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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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Making Futures Work
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Augmented Analytics
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Linkerd: Up and Running
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Lean Analytics
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Hands-On Entity Resolution
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Automating Data Quality Monitoring
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Learning Airtable
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Machine Learning Interviews
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Training Data for Machine Learning
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Mastering Bitcoin. 3rd Edition
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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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Communication Patterns
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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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The Software Developer's Career Handbook
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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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Building Knowledge Graphs
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The Decision Intelligence Handbook
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Intelligence-Driven Incident Response. 2nd Edition
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Unifying Business, Data, and Code
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Embedded Analytics
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Streaming Data Mesh
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Operating Continuously
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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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Overcoming IT Complexity
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ColorWise
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Learning Google Analytics
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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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Running Lean. 3rd Edition
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Mastering the Lightning Network
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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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Mapping Experiences. 2nd Edition
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Tableau Desktop Cookbook
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Product Research Rules
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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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Mastering Corda
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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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Implementing Service Level Objectives
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Tableau Prep: Up & Running
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Articulating Design Decisions. 2nd Edition