Learning from Machine Learning

Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4

Mar 26, 2023

Sebastian Raschka, Lead AI Educator at Lightning and author, discusses learning ML, responsible AI, AGI, and more. Topics include his career background, working in academia vs industry, early ML projects, creating a book with Chat GPT, dangers of overconfidence in ML models, balancing learning from scratch with existing solutions, and the importance of having fun and being patient.

01:07:58

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Episode guests

Sebastian Raschka

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Episode notes

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Quick takeaways

Sebastian Raschka discusses his career journey in machine learning, including his transition from academia to industry and his contributions to the scikit-learn library.

The gap between the hype and reality of AI, particularly in relation to chat GPT and generative models, is highlighted, emphasizing the importance of understanding limitations and addressing ethical challenges in AI.

The concept of Artificial General Intelligence (AGI) is explored, with debate surrounding its necessity and the potential value of specialized models compared to striving for AGI.

Deep dives

Machine Learning Journey

Sebastian Roshka shares his career journey in machine learning, starting from his undergraduate studies in statistics and Python programming. He goes on to discuss his PhD research in computational biology and how he was introduced to machine learning through Bayesian methods. Sebastian also talks about his transition to industry, joining Lightning AI to focus on machine learning and deep learning research.

Introduction

5min

Comparing Working in Academia and Industry

3min

Early Machine Learning Projects and Valuable Learning Experiences

12min

Creating a Book with Chat GPT

22min

The Dangers of Overconfidence in Machine Learning Models

19min

Balancing Learning from Scratch and Using Existing Solutions in Machine Learning

2min

The Importance of Having Fun and Being Patient

5min

This episode we welcome Sebastian Raschka, Lead AI Educator at Lightning and author of Machine Learning with Pytorch and Scikit-Learn to discuss the best ways to learn machine learning, his open source work, how to use chatGPT, AGI, responsible AI and so much more. Sebastian is a fountain of knowledge and it was a pleasure to get his insights on this fast moving industry. Learning from Machine Learning, a podcast that explores more than just algorithms and data: Life lessons from the experts. Resources to learn more about Sebastian Raschka and his work:

https://sebastianraschka.com/

https://lightning.ai/

Machine Learning with Pytorch and Scikit-Learn

Machine Learning Q and AI

Resources to learn more about Learning from Machine Learning and the host: https://www.linkedin.com/company/learning-from-machine-learning

https://www.linkedin.com/in/sethplevine/

https://medium.com/@levine.seth.p

twitter

References from Episode

https://scikit-learn.org/stable/

http://rasbt.github.io/mlxtend/

https://github.com/BioPandas/biopandas