machine learning

O'Reilly's Ben Lorica talks with Mikio Braun about machine learning, stream processing and analytics, his recent foray into data science training, and academia versus industry.

Building Big Data Systems in Academia and Industry

In episode fourteen of season two, we talk about Perturb-and-MAP, we take a listener question about classic artificial intelligence ideas being used in modern machine learning, plus we talk with Jake Abernethy of the University of Michigan about municipal data and his work on the Flint water crisis. 

Perturb-and-MAP and Machine Learning in the Flint Water Crisis

A conversation with Doug Caldwell, instrument scientist for the Kepler Space Telescope, and who’s now working on NASA’s next planet-hunting mission— the Transiting Exoplanet Survey Satellite or TESS.

Transcript: https://www.nasa.gov/ames/nisv-podcast-ep86-doug-caldwell

Doug Caldwell Talks About the Data Pipeline for the TESS Mission

I listen mostly to soul, funk, jazz, trip-hop, classical, soulful house and hip hop, especially instrumental, continuously searching for new music on the web. I am not a DJ in the classical sense definition, anyway I enjoy sharing valuable music via platforms like 8tracks or here. I also do believe in idea of paying money directly to the artists on services  like bandcamp. My digital collection is slowly, but steady growing.

In my free time I produce beats with NI Maschine Studio or experiment with audio processing sotware and music information retrieval techniques... if I am not at work... or studying on Coursera...or cooking... and the list goes on...

machine learning

DigDigger