Busting Common Data Science Myths by AIQ

  Рет қаралды 179

Data Science in your pocket

Data Science in your pocket

Күн бұрын

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

Пікірлер: 8
@malyaj.mishra
@malyaj.mishra 10 күн бұрын
Must-watch for a Data Science beginner!! 👍
@datascienceinyourpocket
@datascienceinyourpocket 9 күн бұрын
Glad it was helpful!
@sushantthakur3432
@sushantthakur3432 9 күн бұрын
Will you recommend ISLP for beginners or more practical book like Hands on ML
@datascienceinyourpocket
@datascienceinyourpocket 9 күн бұрын
What's ISPL?
@sushantthakur3432
@sushantthakur3432 9 күн бұрын
@@datascienceinyourpocket introduction to statistical learning
@sushantthakur3432
@sushantthakur3432 9 күн бұрын
Introduction to statistical learning
@datascienceinyourpocket
@datascienceinyourpocket 9 күн бұрын
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
@sushantthakur3432 9 күн бұрын
@@datascienceinyourpocket thanks mate
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