Adventures in Machine Learning
A podcast by Charles M Wood - Thursdays
Categories:
183 Episodes
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BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
Published: 2/5/2021 -
ML 020: How to Make an Impact on the Development Community
Published: 2/2/2021 -
ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy
Published: 1/26/2021 -
ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin
Published: 1/19/2021 -
ML 017: The Nature of the World and AI with Rishal Hurbans
Published: 1/12/2021 -
ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark
Published: 1/5/2021 -
BONUS: How to Crush Your Biggest Goals in 2021
Published: 1/1/2021 -
ML 015: Extracting Value from Data with Alexey Grigorev
Published: 12/29/2020 -
ML 014: Deep Learning with Structured Data with Mark Ryan
Published: 12/23/2020 -
BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
Published: 11/27/2020 -
ML 013: Recommender Systems with Frank Kane
Published: 11/17/2020 -
ML 012: Machine Learning for Mere Mortals with Nick Chase
Published: 11/3/2020 -
ML 011: History of AI in the UK with Laurence Moroney
Published: 10/27/2020 -
ML 010: Brains, Guitars, and JavaScript with Milecia McGregor
Published: 10/20/2020 -
ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane
Published: 10/13/2020 -
ML 008: TensorFlow.js and YOU with Jason Mayes
Published: 10/6/2020 -
ML 007: Computer Vision & AI Scientist with Beril Sirmacek
Published: 9/29/2020 -
ML 006: Mad Science AI with Benson Ruan
Published: 9/22/2020 -
ML 005: Transfer Learning for NLP with Daniel Svoboda
Published: 9/15/2020 -
ML 004: Automated Machine Learning ML with Jorge Torres
Published: 9/11/2020
Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.