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


Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Avsnitt(209)

AI-Powered Tools for Productivity with Artem Koren - ML 169

AI-Powered Tools for Productivity with Artem Koren - ML 169

In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to...

10 Okt 202459min

The Impact of Generative AI on the Advertising Industry - ML 168

The Impact of Generative AI on the Advertising Industry - ML 168

In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to w...

3 Okt 20241h 1min

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shar...

26 Sep 20241h 6min

Evaluating and Building AI Systems - ML 166

Evaluating and Building AI Systems - ML 166

Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was ...

19 Sep 20241h 3min

Demystifying AI Innovations - ML 165

Demystifying AI Innovations - ML 165

Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of e...

12 Sep 20241h 7min

Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164

Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164

Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In thi...

29 Aug 202459min

Building, Testing, and Abandoning Software - ML 163

Building, Testing, and Abandoning Software - ML 163

In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools ve...

22 Aug 20241h 5min

AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162

AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162

In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructiona...

15 Aug 20241h 3min

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