Is 2016 the year you let robots manage your money?
The O’Reilly Data Show podcast: Vasant Dhar on the race to build “big data machines” in financial investing.
Podcast
Investing in big data technologies
The O’Reilly Data Show podcast: A fireside chat with Ben Horowitz, plus Reynold Xin on the rise of Apache Spark in China.
Building a scalable platform for streaming updates and analytics
The O’Reilly Data Show podcast: Evan Chan on the early days of Spark+Cassandra, FiloDB, and cloud computing.
Graph databases are powering mission-critical applications
The O’Reilly Data Show Podcast: Emil Eifrem on popular applications of graph technologies, cloud computing, and company culture.
Jai Ranganathan on architecting big data applications in the cloud
The O’Reilly Data Show podcast: The Hadoop ecosystem, the recent surge in interest in all things real time, and developments in hardware.
Building systems for massive scale data applications
The O’Reilly Data Show podcast: Tyler Akidau on the evolution of systems for bounded and unbounded data processing.
Turning big data into actionable insights
The O’Reilly Data Show podcast: Evangelos Simoudis on data mining, investing in data startups, and corporate innovation.
Resolving transactional access and analytic performance trade-offs
The O’Reilly Data Show podcast: Todd Lipcon on hybrid and specialized tools in distributed systems.
Building enterprise data applications with open source components
The O’Reilly Data Show podcast: Dean Wampler on bounded and unbounded data processing and analytics.
From search to distributed computing to large-scale information extraction
The O'Reilly Data Show Podcast: Mike Cafarella on the early days of Hadoop/HBase and progress in structured data extraction.
6 reasons why I like KeystoneML
The O'Reilly Data Show Podcast: Ben Recht on optimization, compressed sensing, and large-scale machine learning pipelines.
Building self-service tools to monitor high-volume time-series data
The O'Reilly Data Show Podcast: Phil Liu on the evolution of metric monitoring tools and cloud computing.
Data science makes an impact on Wall Street
The O'Reilly Data Show Podcast: Gary Kazantsev on how big data and data science are making a difference in finance.
The tensor renaissance in data science
The O'Reilly Data Show Podcast: Anima Anandkumar on tensor decomposition techniques for machine learning.
Building big data systems in academia and industry
The O'Reilly Data Show Podcast: Mikio Braun on stream processing, academic research, and training.
Turning Ph.D.s into industrial data scientists
Angie Ma's startup, London-based ASI, runs a carefully structured “finishing school” for science and engineering doctorates.
Topic models: Past, present, and future
David Blei, co-creator of one of the most popular tools in text mining and machine learning, discusses the origins and applications of topic models.
A brief look at data science’s past and future
In this O'Reilly Data Show Podcast: DJ Patil weighs in on a wide range of topics in data science and big data.