[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning. In this episode of the Data Show, I spoke with Ameet Talwalkar, assistant professor of machine learning at CMU and co-founder of Determined AI. He was an early and key contributor to Spark MLlibContinue reading “How to train and deploy deep learning at scale”
Tag Archives: data show
Using machine learning to monitor and optimize chatbots
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ofer Ronen on the current state of chatbots. In this episode of the Data Show, I spoke with Ofer Ronen, GM of Chatbase, a startup housed within Google’s Area 120. With tools for building chatbots becoming accessible, conversational interfaces areContinue reading “Using machine learning to monitor and optimize chatbots”
Unleashing the potential of reinforcement learning
[A version of they post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized. In this episode of the Data Show, I spoke with Danny Lange, VP of AI and machine learning at Unity Technologies. Lange previously ledContinue reading “Unleashing the potential of reinforcement learning”
Graphs as the front end for machine learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Leo Meyerovich on building large-scale, interactive applications that enable visual investigations. In this episode of the Data Show, I spoke with Leo Meyerovich, co-founder and CEO of Graphistry. Graphs have always been part of the big data revolution (think ofContinue reading “Graphs as the front end for machine learning”
Machine learning needs machine teaching
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Mark Hammond on applications of reinforcement learning to manufacturing and industrial automation. In this episode of the Data Show, I spoke with Mark Hammond, founder and CEO of Bonsai, a startup at the forefront of developing AI systems in industrialContinue reading “Machine learning needs machine teaching”
How machine learning can be used to write more secure computer programs
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code. In this episode of the Data Show, I spoke with Fabian Yamaguchi, chief scientist at ShiftLeft. His 2015 Ph.D. dissertation sketched out how the combination ofContinue reading “How machine learning can be used to write more secure computer programs”
Bringing AI into the enterprise
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Kris Hammond on business applications of AI technologies and educating future AI specialists. In this episode of the Data Show, I spoke with Kristian Hammond, chief scientist of Narrative Science and professor of EECS at Northwestern University. He has beenContinue reading “Bringing AI into the enterprise”
How machine learning will accelerate data management systems
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Tim Kraska on why ML will change how we build core algorithms and data structures. In this episode of the Data Show, I spoke with Tim Kraska, associate professor of computer science at MIT. To take advantage of big data,Continue reading “How machine learning will accelerate data management systems”
Machine learning at Spotify: You are what you stream
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement. In this episode of the Data Show, I spoke with Christine Hung, head of data solutions at Spotify. Prior to joining Spotify, she led dataContinue reading “Machine learning at Spotify: You are what you stream”
The current state of Apache Kafka
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Neha Narkhede on data integration, microservices, and Kafka’s roadmap. In this episode of the Data Show, I spoke with Neha Narkhede, co-founder and CTO of Confluent. As I noted in a recent post on “The Age of Machine Learning,” dataContinue reading “The current state of Apache Kafka”