Data science for humans and data science for machines
The O’Reilly Data Show Podcast: Michael Li on the state of data engineering and data science training programs.
Podcast
The importance of emotion in AI systems
The O’Reilly Data Show Podcast: Rana el Kaliouby on deep learning, emotion detection, and user engagement in an attention economy.
Building human-assisted AI applications
The O’Reilly Data Show Podcast: Adam Marcus on intelligent systems and human-in-the-loop computing.
Enabling enterprise adoption of AI technologies
The O’Reilly Data Show Podcast: Jana Eggers on building applications that rely on synaptic intelligence.
Using Agile development techniques for data science projects
The O’Reilly Data Show Podcast: John Akred on building data platforms and enterprise data strategies.
Commercial speech recognition systems in the age of big data and deep learning
The O’Reilly Data Show Podcast: Yishay Carmiel on applications of deep learning in text and speech.
Building intelligent applications with deep learning and TensorFlow
The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks.
Hybrid transactional/analytic systems and the quest for database nirvana
The O’Reilly Data Show Podcast: Rohit Jain on the challenges of hybrid data management systems.
Using AI to build a comprehensive database of knowledge
The O’Reilly Data Show Podcast: Mike Tung on large-scale structured data extraction, intelligent systems, and the importance of knowledge databases.
Structured streaming comes to Apache Spark 2.0
The O’Reilly Data Show Podcast: Michael Armbrust on enabling users to perform streaming analytics, without having to reason about streaming.
Building and deploying large-scale machine learning applications
The O’Reilly Data Show Podcast: Danny Bickson on recommenders, data science, and applications of machine learning.
Semi-supervised, unsupervised, and adaptive algorithms for large-scale time series
The O’Reilly Data Show Podcast: Ira Cohen on developing machine learning tools for a broad range of real-time applications.
Practical machine learning techniques for building intelligent applications
The O’Reilly Data Show Podcast: Mikio Braun on practical data science, deep neural networks, machine learning, and AI.
Democratizing business analytics
The O’Reilly Data Show Podcast: Duncan Ross on the evolution of analytics, data mining, and data philanthropy.
Stream processing and messaging systems for the IoT age
The O’Reilly Data Show podcast: M.C. Srivas on streaming, enterprise grade systems, the Internet of Things, and data for social good.
Using Apache Spark to predict attack vectors among billions of users and trillions of events
The O’Reilly Data Show podcast: Fang Yu on data science in security, unsupervised learning, and Apache Spark.
Metadata services can lead to performance and organizational improvements
The O’Reilly Data Show podcast: Joe Hellerstein on data wrangling, distributed systems, and metadata services.
Building a business that combines human experts and data science
The O’Reilly Data Show podcast: Eric Colson on algorithms, human computation, and building data science teams.