Gradient Dissent is a machine learning podcast hosted by Lukas Biewald that takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at Facebook, Google, Lyft, OpenAI, and more.
Sam Charrington
Charlie You
Justin Grammens
BEPEC
Jousef Murad
James Le
Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success
O'Reilly Media
Ben Lorica
Top End Devs
Demetrios Brinkmann
ZenML GmbH
Changelog Media
Jay Shah
Anthony Kelly
Association for Computing Machinery (ACM)
convergeML
Grant Ingersoll
O'Reilly Radar
edureka!
Brian T. O'Neill from Designing for Analytics
Synthesized
Brian T. O’Neill from Designing for Analytics
David Yakobovitch
Tobias Macey
The TDS team
TRIK
Thu Ya Kyaw & Koo Ping Shung
Sama
Mikial Nijjar
Horacio Pérez-Sánchez
Innodata
Ameet Talwalkar
Francesco Gadaleta
Bonnie D. Graham
Sanyam Bhutani
DataCamp
The Simpleweb - sponsored by EMANICS
Intel
Gaël Blondelle & Thabang Mashologu
Hugo Bowne-Anderson
DataTalks.Club
Gareth & Andrew
data.world
mapscaping.com
Experiencing Data with Brian O
Tote Bag Productions
Intel Corporation
CFD Engine
Data Crunch Corporation
Data as a Product Podcast Network
ACD/Labs
[A]
Gun.io
Fane Mensah and Synthace
CULTURE – rule 11 reader
Brock Palen
Judy Warner, Altium
Manuel Pasieka
George Anadiotis
None
The Firebolt Data Bros
Map Shack
Jared Spool
Siemens Digital Industry Software
LinearB
The Engineering Leadership Community (ELC)
Vincent Lam
Chad Perry
QuantumBlack
neptune.ai
Utilizing AI
Mountain Point
Oxford University
Table XI
Rudderstack
SciNology Team
8th Light
TheGradientBoost
Digital Public Goods Podcast
Seth Earley & Chris Featherstone
Dataiku
Peter Bell
Kurt Andersen, Blameless
Cigniti
Cambridge University
Christian McCarrick
Method Matters
Gene Kim
Artsy Engineering
Sarah Berger
OfferZen
MP English, Viv, Salim Virji
Exascale Computing Project
NVIDIA
Samantha
Shadow-Soft
Venturi Group: CTO, Data, Development, Cyber Security, Business Intelligence, Infrastructure, Cloud
Trifacta