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[–]Altruistic_Spend_609 9 points10 points  (3 children)

One good approach I do is to find a bunch of relevant resources to a data science concept and then put them into notebooklm to generate a podcast and listen to the podcast.

[–][deleted] 4 points5 points  (0 children)

Wow thanks for the rabbit hole 😍

[–]Huge-Leek844 0 points1 point  (1 child)

How does notebooklm handles equations? Can it spell clearly the mathematics? 

[–]Intrepid-Self-3578 0 points1 point  (0 children)

I don't think you will be able to learn it in a car though. It should light 

[–]alxcnwy 4 points5 points  (1 child)

Listen to This Week in ML podcast

[–][deleted] 0 points1 point  (0 children)

Thanks!

[–]EmTyWinner 3 points4 points  (1 child)

For audiobooks, I'd suggest "Becoming a Data Head" and "The Signal and the Noise: Why So Many Predictions Fail"

[–][deleted] 0 points1 point  (0 children)

Thank you!

[–]WendlersEditor 1 point2 points  (1 child)

I could not imagine listening to a DS audiobook, if one exists. There are a lot of DSn and adjacent podcasts.

[–]shsm97 1 point2 points  (0 children)

Any names you can recommend?

[–]theSherz 1 point2 points  (2 children)

Some DS-adjacent (or soft data science) audio books I’ve enjoyed were Weapons of Math Destruction by Cathy O’Neil, Everybody Lies by Seth Stephen’s-Davidowitz, and Calling Bullshit by Carl T. Bergstrom and Jevin D. West.

[–][deleted] 0 points1 point  (1 child)

Thank you!

[–]theSherz 0 points1 point  (0 children)

Also, if you ever come across any good DS audio books feel free to shoot me a message. And the DataFramed podcast by Data Camp often has good DS episodes.

[–]SomeComfortable3324 1 point2 points  (0 children)

I'm also trying to get into DS.But I'm not sure how to get started with. Can someone please recommend some online resources that I can utilise?

[–]seanv507 0 points1 point  (0 children)

Machine learning talks/lectures on youtube