Real good podcast

Bayesian optimization vs Grid search vs Random search are continuous hyperparameters

Thank you so much! This is gold and super helpful.

Great

Thanks! Glad you enjoyed it

Good job

You're perfect!

Love it

Love it.

I love what you do and the way you do it.

Just started with you... Loving it

Love it

Thanks a million, glad you like it!

Through 5 episodes and wanted to leave a comment. This series is just what I needed as a physicist starting out in machine learning. Conveys the potential of the field, gives the bird's eye intuition for the entire field and for the main algorithms just as it sets out to do. Goes into just enough math detail to get across the idea, without getting into nitty gritty on a first introduction. Thanks so much! I am looking forward to the rest of the series!

Thank you so much for your efforts, great series

I'm

Fantastic Stuff

I am learning ML and I find your series helpful in learning.

helpful

I think is good what you do and why I listen to you is because you give very good examples and manage to explain the information only in audio format using the imagination of the listeners. So far I think it was well organized for an introductory course in machine learning.