Creating autonomous vehicle systems
Understanding AV technologies and how to integrate them.
Our take on the ideas, information, and tools that make data work.
Ideas
Analysis without boundaries
Apache Arrow makes it possible to use multiple languages and heterogeneous data infrastructure.
Extend structured streaming for Spark ML
Early methods to integrate machine learning using Naive Bayes and custom sinks.
What is hardcore data science—in practice?
The anatomy of an architecture to bring data science into production.
Understanding predictive analytics
The O’Reilly Data Show Podcast: Natalino Busa on developments in feature engineering and predictive techniques across industries.
How to build a robot that “sees” with $100 and TensorFlow
Adventures in deep learning, cheap hardware, and object recognition.
2016 Data Science Salary Survey
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
Data and Democracy
This report explores how political data science helps to drive everything from overall strategy and messaging to individual voter contacts and advertising.
Learning
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O'Reilly Online Training: Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka
In two online sessions October 18-19, 2016, Jesse Anderson will show you how to recognize opportunities, avoid problems, and get the most value from your data.
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O'Reilly Online Training: Geo-Located Data—Extracting Patterns from Mobile Data Using Scikit-Learn and Cassandra
November 1-2, 2016, join Natalino Busa for an introduction to extracting patterns from geo-located data and building geo-located microservices.
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Capturing semantic meanings using deep learning
Word embedding in natural language processing.
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Hello, TensorFlow!
Building and training your first TensorFlow graph from the ground up.
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Dive into TensorFlow with Linux
Building a fast, accurate image classifier on the cheap.
Upcoming live training: Data
O'Reilly's live training events offer instructor-led, hands-on courses, with an emphasis on the social aspects of learning.
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Martin Kleppmann
Martin Kleppmann is a software engineer and entrepreneur. He has co-founded two startups including Rapportive, which was acquired by LinkedIn. At these companies he worked on various data infrastructure systems, and learnt a few things the hard way. He hopes that this book will save you from repeati...
Gwen Shapira
Gwen is a software engineer at Cloudera. She has 15 years of experience working with customers to design scalable data architectures. Working as an data warehouse DBA, ETL developer and a senior consu...
Max Shron
Max Shron runs a small data strategy consultancy in New York, working with many organizations to help them get the most out of their data. His analyses of transit, public health, and housing markets h...
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“Data is having an impact on business models and profitability. It’s hard to find a non-trivial application that doesn’t use data in a significant manner.”
— Ben Lorica, Director of Content Strategy for Data at O'Reilly Media