Machine Learning Engineered

Machine Learning Engineered

Por: Charlie You
This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
32 episodios disponibles

Latest episodes of the podcast Machine Learning Engineered

Diving Deep into Synthetic Data with Alex Watson of Gretel.ai 20/04/2021
A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project) 30/03/2021
From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT) 23/03/2021
The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance) 16/03/2021
Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton) 09/03/2021
Bringing DevOps Best Practices into Machine Learning with Benedikt Koller from ZenML 02/03/2021
Starting an Independent AI Research Lab with Josh Albrecht from Generally Intelligent 23/02/2021
Industrial Machine Learning and Building Tools for Data and Model Monitoring with Evidently AI Co-Founders Elena Samuylova and Emeli Dral 16/02/2021
Managing Data Science Teams and Hiring Machine Learning Engineers with Harikrishna Narayanan (YC Stealth Startup) 09/02/2021
Lessons Learned From Hosting the ML Engineered Podcast (Charlie Interviewed on the ML Ops Community podcast) 02/02/2021
Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio) 19/01/2021
Best of ML Engineered in 2020 Part 1 - ML Engineering 05/01/2021
Solocast - Holiday Gratitude 22/12/2020
Music Information Retrieval at Spotify and the Future of ML Tooling with Andreas Jansson of Replicate 15/12/2020
Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0" 08/12/2020
Coding Career Tactics - Salary Negotiation, Public Speaking, and Creating Your Own Luck w/ Shawn "swyx" Wang (AWS) 01/12/2020
Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field 24/11/2020
How to Get Ahead in Machine Learning with Zak Slayback (1517 Fund) 17/11/2020
Why Multi-Modality is the Future of Machine Learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break) 10/11/2020
Moin Nadeem (MIT): The extraordinary future of natural language models 03/11/2020
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