How to learn Machine Learning (ML/AI Roadmap 2024)

This video was sponsored by Brilliant.

In this video, I discuss the technical roapmap to learn machine learning (ML) and artificial intelligence (AI). This can serve as a machine learning syllabus to understand what concepts to learn. In following videos, I will teach this roadmap!

Timestamps
00:34 Probability and Statistics
03:41 Calculus
05:35 Linear Algebra
08:50 Programming
12:55 Understanding ML
14:14 Data
17:30 ML Models
19:41 Neural Networks
20:54 Training and Evaluation
22:32 Practice and Research

Feel free to leave any questions.

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Thanks for watching everyone!
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[KylieYYing]

Where are you in the roadmap? Follow this series to learn about machine learning!

[StaleKeish]

I got started on my ML learning journey last year with your video on FCC, and it’s taken me so far career and interest wise. So glad you’re still creating incredible, helpful content and planning to lead research. Looking forward to seeing you become one of the most recognizable faces in AI soon.

[IamKudos]

This was really in depth, and really good. Thanks a lot Kylie!

[adityasankhla]

NO WAY. was literally wondering if you had any new vids recently and lo and behold!

[fortyfour]

Thank you so much! This roadmap and layout has helped me so very much! Bless you! I’m following your channel for sure

[DesiMinnesotan]

this is amazing and thank you so much. Will definitely stick around and learn with you

[bobburke]

Kylie - Your course content is excellent. Thank you for sharing.

[Reeeekid]

just subbed for your ml course loved this video by the way

[edwinroman]

Your haircut looks amazing 🎉! Thanks for the guidelines!

[KaushikDeveloper]

You are such a great teacher. I'm just glad to know such teachers exist. I would love talk to you someday!

[justchris]

This has to be the best "Roadmap" I've seen in 2024.

[EmaSuriano]

Thanks a lot for this roadmap, maybe the best one explained I've seen on the Internet. Something that I would love to see are live coding project, where we start with an initial data set, then we do some basic EDA to finally jump into the introduction of some ML algorithm. For me, it's always interesting to see how people reason the same problem in different ways, and I feel that I always learn something new about it :) Keep the great work <3

[asterialumin_]

YES! FINALLY you posted! can you make more videos about MIT? etc?

[lucas.hahn]

One of my fav programming channels by far!

[LF-jsgx]

Truly commendable!!! Precise, well-explained and clear!!! Keep it up❤

[limotto]

I strongly believe Kylie Ying is the only chanel I need for Data Science stuff. Thank you for your quality, informative and educational content.

[furqanahmad]

looking forward to more from this machine learning series...

[greenbillugaming]

post more often. you are a great teacher

[Matrix-rqkh]

This is the single most precise video I have come across on internet which covers all things for learning ml. Thanks!!

[aliphantom]

Hey, we miss you ❤️ please make more videos