The Influence of Gen AI on Personalized Education and Curiosity - ML 171

The Influence of Gen AI on Personalized Education and Curiosity - ML 171

In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer.
Michael, a data engineering and machine learning expert, and Ben, an integrator of Gen AI tools, navigate through Danny's unique perspective on the impact of nurturing educational environments. Currently working at Cornell’s Studio entrepreneurship program, Danny brings a multidisciplinary background, combining history and instructional technology, and shares his vision for the future of learning.
This episode explores the transformative power of nurture in education, the evolving role of Gen AI in fostering curiosity, and the challenges and opportunities in integrating AI into the learning process. Danny provides thought-provoking insights on emotional access points, curiosity-driven learning, and the delicate balance between educational goals and productivity tools.
Listen in as they discuss personalized education, the promise of AI-assisted learning, and the future trajectory of superintelligence in education. Plus, hear personal anecdotes from Ben and Michael about their own learning journeys and the evolving landscape of curiosity and knowledge.

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Where ML and DevOps Meet - ML 108

Where ML and DevOps Meet - ML 108

Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's episode crossover. They talk about the intersection of ML and DevOps. They dive into the ...

17 Maalis 20231h 5min

How Does ChatGPT Work? - ML 107

How Does ChatGPT Work? - ML 107

ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk about the creation of ChatGPT, its implications for society, and how the model actu...

10 Maalis 202348min

Machine Learning for Movie Scripts - ML 106

Machine Learning for Movie Scripts - ML 106

Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new industries, the future of Large Language Models (LLM), and automation in the movie industry...

3 Maalis 202345min

ChatGPT and the Divine - ML 105

ChatGPT and the Divine - ML 105

"Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad implications of ChatGPT and similar algorithms. Expect to learn about...The differen...

23 Helmi 202351min

Deep Learning for Tabular and Time Series Data - ML 104

Deep Learning for Tabular and Time Series Data - ML 104

Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source tool that allows you to leverage tabular data in PyTorch. He also has written a book o...

16 Helmi 20231h 8min

Notebooks vs. IDEs With Fabian Jakobs - ML 103

Notebooks vs. IDEs With Fabian Jakobs - ML 103

How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in...

9 Helmi 202345min

How to think about Optimization - ML 102

How to think about Optimization - ML 102

In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on optimization algorithms, so expect to learn about constraint-active search, SigOpt'...

3 Helmi 202350min

Protecting Your ML From Phishing And Hackers - ML 101

Protecting Your ML From Phishing And Hackers - ML 101

Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security company about personal security, detecting malicious actors, startup trends, and much ...

27 Tammi 202341min

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