/Machine Learning Engineered

Machine Learning Engineered

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.

概要

エピソード

English

言語

購読者

再生回数

エピソード25

再生順序を逆にする

Diving Deep into Synthetic Data with Alex Watson of Gretel.ai

Apr 20, 2021·—

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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...

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

Mar 30, 2021·—

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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...

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

Mar 23, 2021·—

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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...

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

Mar 16, 2021·—

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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...

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

Mar 9, 2021·—

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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...

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

Mar 2, 2021·—

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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...

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

Feb 23, 2021·—

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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...

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

Feb 16, 2021·—

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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...

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

Feb 9, 2021·—

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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...

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

Feb 2, 2021·—

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Learn more about the ML Ops Community: Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: Follow Charlie on Twitter: Subscribe to ML...

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

Jan 19, 2021·—

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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...

Best of ML Engineered in 2020 Part 1 - ML Engineering

Jan 5, 2021·—

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Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: Follow Charlie on Twitter: Subscribe to ML Engineered: Comments? Questions?...

Solocast - Holiday Gratitude

Dec 22, 2020·—

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

Dec 15, 2020·—

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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...

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

Dec 8, 2020·—

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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...

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

Dec 1, 2020·—

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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...

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

Nov 24, 2020·—

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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...

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

Nov 17, 2020·—

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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...

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

Nov 10, 2020·—

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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: Every Thursday I send out the most useful...

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

Nov 3, 2020·—

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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...

Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster

Oct 27, 2020·—

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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...

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

Oct 20, 2020·—

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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...

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

Oct 13, 2020·—

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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...

Sanyam Bhutani: Chai Time Data Science

Oct 6, 2020·—

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Sanyam Bhutani is a Machine Learning Engineer at H2O.ai and host of the Chai Time Data Science Show. Learn more about Sanyam: Website: YouTube: Chai Time Data Science: Want to level-up your skills in machine learning...

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

Sep 29, 2020·—

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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...