Busting Common Data Science Myths by AIQ

The episode 4 of AIQ explores certain myths and false claims circulating in the AI field starting from
1. Does Data Scientist train models only?
2. Is a MS or PhD necessary for an AI job?
3. How many programming languages does a Data Scientist know?
4. Is math really important for an AI career?
5. Are Neural Networks mandatory to know and understand?
6. How Data Scientist codes?
and many more exciting topics.
#ai #ml #datascience #myths #podcast

[@malyaj.mishra]

Must-watch for a Data Science beginner!! 👍

[@datascienceinyourpocket]

Glad it was helpful!

[@sushantthakur3432]

Will you recommend ISLP for beginners or more practical book like Hands on ML

[@datascienceinyourpocket]

What's ISPL?

[@sushantthakur3432]

@@datascienceinyourpocket introduction to statistical learning

[@sushantthakur3432]

Introduction to statistical learning

[@datascienceinyourpocket]

I would suggest a mix of both (with an inclination towards ISLP). Practical hands on is now very easy with all these readymade libraries. It can be done in a week or two

[@sushantthakur3432]

@@datascienceinyourpocket thanks mate