Cows, Camels, and the Human Brain - ML 182

Cows, Camels, and the Human Brain - ML 182

What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.
In This Episode
Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)
The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)
Not sure if you need machine learning or just plain data modeling? Michael lays it out for you
What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond


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The Disruptive Power of Artificial Intelligence - ML 100

The Disruptive Power of Artificial Intelligence - ML 100

Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi Goldfarb, the chair of AI at the University of Toronto, about...The most promising AI indus...

19 Tammi 20231h

A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They discuss the benefits of low-code ML, delve into the history of ML development work a...

6 Tammi 20231h 12min

Moving from Dev Notebooks to Production Code - ML 098

Moving from Dev Notebooks to Production Code - ML 098

In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of notebooks as development tooling for Data Science work to the complex refactoring nee...

22 Joulu 20221h 11min

How to Edit and Contribute to Existing Code Base - ML 097

How to Edit and Contribute to Existing Code Base - ML 097

Let's be honest. We've all copied and pasted code from the internet. There are many great code sources and in this episode, Ben and Michael discuss how to leverage existing code. They explain how to u...

15 Joulu 202254min

MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the release. Bilal and Corey then discuss managing feature implementation priorities, and s...

1 Joulu 202249min

How To Recession Proof Your Job - BONUS

How To Recession Proof Your Job - BONUS

Get the Black Friday/Cyber Monday "Focus Blocks Bundle" Deal Coupon Code: "THRIVE" for a GIANT discount   Are you looking at all the layoffs and uncertainty going on and wondering if your company is t...

24 Marras 20221h 12min

Should you Context Switch when Writing Code? - ML 095

Should you Context Switch when Writing Code? - ML 095

Do you multitask? If so, you'll want to check out this episode. We'll cover...The difference between good and bad context switchingSome personal stories about context switching on projectsPractical ti...

24 Marras 202231min

Important Questions To Ask When Scoping ML Projects - ML 094

Important Questions To Ask When Scoping ML Projects - ML 094

Have you ever wondered how to prioritize your ML projects? Today we will talk about...The difference between applied ML and ML frameworksHow to effectively scope projects via Heilmeier's Catechism Spo...

17 Marras 202247min

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