In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note.

Additional materials: www.superdatascience.com/540

In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.

In this episode you will learn:

Additional materials: www.superdatascience.com/539

In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits.

Additional materials: www.superdatascience.com/538

Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.

In this episode you will learn:

Additional materials: www.superdatascience.com/537

Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022.

Additional materials: www.superdatascience.com/536

Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.

In this episode you will learn:

Additional materials: www.superdatascience.com/535

Jon sends a holiday greeting to all listeners.

Additional materials: www.superdatascience.com/534

Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.

In this episode you will learn:

Additional materials: www.superdatascience.com/533

Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique.

Additional materials: www.superdatascience.com/532

Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.

In this episode you will learn:

Additional materials: www.superdatascience.com/531