Adventures in Machine Learning
Un podcast de Charles M Wood - Les jeudis
Catégories:
183 Épisodes
-
BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
Publié: 05/02/2021 -
ML 020: How to Make an Impact on the Development Community
Publié: 02/02/2021 -
ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy
Publié: 26/01/2021 -
ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin
Publié: 19/01/2021 -
ML 017: The Nature of the World and AI with Rishal Hurbans
Publié: 12/01/2021 -
ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark
Publié: 05/01/2021 -
BONUS: How to Crush Your Biggest Goals in 2021
Publié: 01/01/2021 -
ML 015: Extracting Value from Data with Alexey Grigorev
Publié: 29/12/2020 -
ML 014: Deep Learning with Structured Data with Mark Ryan
Publié: 23/12/2020 -
BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
Publié: 27/11/2020 -
ML 013: Recommender Systems with Frank Kane
Publié: 17/11/2020 -
ML 012: Machine Learning for Mere Mortals with Nick Chase
Publié: 03/11/2020 -
ML 011: History of AI in the UK with Laurence Moroney
Publié: 27/10/2020 -
ML 010: Brains, Guitars, and JavaScript with Milecia McGregor
Publié: 20/10/2020 -
ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane
Publié: 13/10/2020 -
ML 008: TensorFlow.js and YOU with Jason Mayes
Publié: 06/10/2020 -
ML 007: Computer Vision & AI Scientist with Beril Sirmacek
Publié: 29/09/2020 -
ML 006: Mad Science AI with Benson Ruan
Publié: 22/09/2020 -
ML 005: Transfer Learning for NLP with Daniel Svoboda
Publié: 15/09/2020 -
ML 004: Automated Machine Learning ML with Jorge Torres
Publié: 11/09/2020
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.