How to learn Machine Learning (ML/AI Roadmap 2024)
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Published 2024-05-25
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
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All Comments (21)
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Where are you in the roadmap? Follow this series to learn about machine learning! Supplement your learning with Brilliant! To try everything Brilliant has to offer—free—for a full 30 days, visit brilliant.org/KylieYing/ . You’ll also get 20% off an annual premium subscription.
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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.
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NO WAY. was literally wondering if you had any new vids recently and lo and behold!
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This was really in depth, and really good. Thanks a lot Kylie!
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Thank you so much! This roadmap and layout has helped me so very much! Bless you! I’m following your channel for sure
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I strongly believe Kylie Ying is the only chanel I need for Data Science stuff. Thank you for your quality, informative and educational content.
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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
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99% of the content that provides road maps for beginners does not mention the importance of the foundation in programming, such as algorithms, data structures, and database, which is considered one of the basics for every technological path. Therefore, everyone fails to complete the path they started with because they do not know the basics.
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谢谢Ying 老师，准备开始学习ML
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this is amazing and thank you so much. Will definitely stick around and learn with you
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YES! FINALLY you posted! can you make more videos about MIT? etc?
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Kylie - Your course content is excellent. Thank you for sharing.
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You are such a great teacher. I'm just glad to know such teachers exist. I would love talk to you someday!
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Your haircut looks amazing 🎉! Thanks for the guidelines!
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just subbed for your ml course loved this video by the way
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One of my fav programming channels by far!
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Welcome back sensei
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Thank you so much kylie😊😊😊
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Just watched your video on leaving MIT, and it made me cry.. truly inspirational, and I’ve come to be your follower for the rest of my life.. and thank you for your amazing content
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Thank you I really need this.
