Alex Watson is the co-founder and CEO of Gretel.ai, a startup that offers APIs for creating anonymized and synthetic datasets. Previously he was the founder of Harvest.ai, whose product Macie, an analytics platform protecting against data breac

A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)

Mar 30th, 2021 1h 38m

Radek Osmulski is a fully self-taught machine learning engineer. After getting tired of his corporate job, he taught himself programming and started a new career as a Ruby on Rails developer. He then set out to learn machine learning. Since the

From Data Science Leader to ML Researcher with Rodrigo Rivera (Skoltech ADASE, Samsung NEXT)

Mar 23rd, 2021 1h 23m

Rodrigo Rivera is a machine learning researcher at the Advanced Data Analytics in Science and Engineering Group at Skoltech and technical director of Samsung Next. He's previously been in data science and research leadership roles at companies

The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

Mar 16th, 2021 1h 36m

Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is t

Developing Feast, the Leading Open Source Feature Store, with Willem Pienaar (Gojek, Tecton)

Mar 9th, 2021 1h 11m

Willem Pienaar is the co-creator of Feast, the leading open source feature store, which he leads the development of as a tech lead at Tecton. Previously, he led the ML platform team at Gojek, a super-app in Southeast Asia.Learn more:https://twi

Bringing DevOps Best Practices into Machine Learning with Benedikt Koller from ZenML

Mar 2nd, 2021 1h 28m

Benedikt Koller is a self-professed "Ops guy", having spent over 12 years working in roles such as DevOps engineer, platform engineer, and infrastructure tech lead at companies like Stylight and Talentry in addition to his own consultancy KEMB.

Starting an Independent AI Research Lab with Josh Albrecht from Generally Intelligent

Feb 23rd, 2021 1h 24m

Josh Albrecht is the co-founder and CTO of Generally Intelligent, an independent research lab investigating the fundamentals of learning across humans and machines. Previously, he was the lead data architect at Addepar, CTO of CloudFab, and CTO

Industrial Machine Learning and Building Tools for Data and Model Monitoring with Evidently AI Co-Founders Elena Samuylova and Emeli Dral

Feb 16th, 2021 1h 21m

Elena Samuylova and Emeli Dral are the co-founders of Evidently AI, where they build open source tools to analyze and monitor machine learning models. Elena was previously the head of the startup ecosystem at Yandex, director of business develo

Managing Data Science Teams and Hiring Machine Learning Engineers with Harikrishna Narayanan (YC Stealth Startup)

Feb 9th, 2021 1h 15m

Harikrishna Narayanan is the co-founder of a YC-backed stealth startup. He was previously a Principal Engineer at Yahoo, a Director in Workday's Machine Learning organization, and holds an M.S. from Georgia Tech.Every Thursday I send out the mo

Lessons Learned From Hosting the ML Engineered Podcast (Charlie Interviewed on the ML Ops Community podcast)

Feb 2nd, 2021 1h 3m

Learn more about the ML Ops Community: https://mlops.community/Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletterFollow Charlie on

Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio)

Jan 19th, 2021 1h 15m

Pavle Jeremic is the founder and CEO of Aether Biomachines, one of the most exciting ML-powered startups I've come across. His mission is to solve scarcity and Aether is the first step towards that. He was recently featured in Forbes' 30 under

Bonus

Best of ML Engineered in 2020 Part 1 - ML Engineering

Jan 5th, 2021 1h 13m

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletterFollow Charlie on Twitter: https://twitter.com/CharlieYouAISubscribe to ML

Bonus

Solocast - Holiday Gratitude

Dec 22nd, 2020 12m 37s

Music Information Retrieval at Spotify and the Future of ML Tooling with Andreas Jansson of Replicate

Dec 15th, 2020 1h 33m

Andreas Jansson is the co-founder of Replicate, a version control tool for machine learning. He holds a PhD from City University of London in Music Informatics and was previously a machine learning engineer at Spotify, researching and applying

Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0"

Dec 8th, 2020 1h 22m

Luigi is the director of data science at 2U, where he leads a team in developing ML models and infrastructure to predict student success outcomes. He's also the founder of ML in Production, a blog and newsletter that helps readers build, deploy

Coding Career Tactics - Salary Negotiation, Public Speaking, and Creating Your Own Luck w/ Shawn "swyx" Wang (AWS)

Dec 1st, 2020 1h 43m

Shawn Wang formerly worked in finance as a derivatives trader and equity analyst before burning out and pivoting towards tech. He's a prolific blogger who goes under the pseudonym "swyx" and recently published the excellent Coding Career Handbo

Yannic Kilcher: Explaining Papers on Youtube, Why Peer Review is Broken, and the Future of the Field

Nov 24th, 2020 1h 32m

Yannic Kilcher is PhD candidate at ETH Zurich researching deep learning, structured learning, and optimization for large and high-dimensional data. He produces videos on his enormously popular Youtube channel breaking down recent ML papers.Foll

How to Get Ahead in Machine Learning with Zak Slayback (1517 Fund)

Nov 17th, 2020 1h 42m

Zak Slayback is a principal at 1517 Fund, a venture capital fund that prioritizes working with dropouts. He wrote the excellent book "How to Get Ahead", one of my most recommended books on careers, and runs Get Ahead Labs where he teaches how t

Why Multi-Modality is the Future of Machine Learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break)

Nov 10th, 2020 1h 31m

Letitia Parcalabescu is a PhD candidate at the University of Heidelberg focused on multi-modal machine learning, specifically with vision and language.Learn more about Letitia:https://www.cl.uni-heidelberg.de/~parcalabescu/https://www.youtube.c

Moin Nadeem (MIT): The extraordinary future of natural language models

Nov 3rd, 2020 1h 24m

Moin Nadeem is a masters student at MIT, where he studies natural language generation. His research interests broadly include natural language processing, information retrieval, and software systems for machine learning.Learn more about Moin:ht

Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster

Oct 27th, 2020 1h 15m

Peiyuan Liao is the youngest Chinese Kaggle grandmaster at only 20 years old with numerous gold medals and 1st, 2nd, and 3rd place finishes. He helped research two deep learning papers while in high school and now researches adversarial attacks

Shreya Shankar: Lessons learned after a year of putting ML into production

Oct 20th, 2020 1h 24m

Shreya Shankar is a Machine Learning Engineer at Viaduct AI. She's a master's student at Stanford and has previously worked at Facebook and Google Brain. She writes some truly excellent articles about machine learning on her personal blog, http

Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

Oct 13th, 2020 1h 9m

Josh Tobin holds a CS PhD from UC Berkeley, which he completed in four years while also working at OpenAI as a research scientist. His focus was on robotic perception and control, and contributed to the famous Rubik's cube robot hand video. He

Sanyam Bhutani: Chai Time Data Science

Oct 6th, 2020 1h 28m

Sanyam Bhutani is a Machine Learning Engineer at H2O.ai and host of the Chai Time Data Science Show.Learn more about Sanyam:Website: https://sanyambhutani.com/YouTube: https://www.youtube.com/c/ChaiTimeDataScienceChai Time Data Science: https:/

Devon Bernard: "If you can sell it, I can build it"

Sep 29th, 2020 1h 42m

Devon Bernard is an incredible full-stack engineer, manager, and entrepreneur. He's co-founded multiple companies including FlowActive, Jowl, and Rollio in addition to holding top engineering roles at Enlitic, Axgen, and now Somml.Learn more ab