Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly manner. So, what are you waiting for? Grab a coffee and join us.
Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré
edureka!
Kyle Polich
Dr. Nels Lindahl
Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
Philipp Packmohr
Teledyne ACS
Unboxing AI
Preston McCauley
Oxford University
Sean Welleck
Ben Jaffe and Katie Malone
ACTNext Navigator
Phoenix Analysis & Design Technologies
Microbial Bioinformatics
The School of Physics and Astronomy
mapscaping.com
Hamilton Institute
The Data Analysis Bureau
Hamilton Institute
Cambridge University
Eliana Duarte and Thomas Kahle
Connie Malamed: Learning Experience Consultant, International Speaker
BCS, The Chartered Institute for IT
BGT Productions
Cambridge University
Cambridge University
Francesco Gadaleta
Dianna Deeney
Jousef Murad
Priyanka Sharma
Cambridge University
Cambridge University
DE 24/7 Staff
Amar Natt, Alex Rinaudo, Steve Lee, Chase Covello
ACD/Labs
Dr Daniel W McKee
Stardust Podcast
Fiber Pro
Alexandre ANDORRA
Rachael Tatman
metrologytoday
Cambridge University
CosmiQ Works
Sam Charrington
Vit Tall LLC
Oxford University
Sanket Gupta
Daniel Norman
Cambridge University
University of Twente
Exascale Computing Project
SAP SE
COVID Chasers
Minko Gechev
11-29 Media
IEEE EMC SOCIETY
mapscaping.com
BMC Software
Debayan Bhattacharya
Roman Cheplyaka
Ben Cary
Cambridge University
Changelog Media
William Mongan
Women in Analytics
Itzik Ben-Shabat
The Data Discussion
Dr. Tony Hoang
Aidan Wimshurst
Cambridge University
BEPEC
Top End Devs
Allen Institute for Artificial Intelligence
Kris Villez and Jörg Rieckermann
Pair of Programmers
Dataroots
Prof. Dr. Tilmann Rabl
Prof. Dr. Tilmann Rabl
Oscar Slotosch
Prof. Jan Borchers
mapscaping.com
Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
Siemens Digital Industry Software
Human Factors Minute (Presented By: Human Factors Cast)
Pradeep Kumar
Manuel Pasieka
Machine Learning Street Talk
Millan Chicago
Rigaku
EvidenceN
Gary Angel
Gabor Szabo
None
Intel
BINUS University
molpigs