How to learn Machine Learning (ML/AI Roadmap 2024)
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- Опубликовано: 24 май 2024
- Want to start learning machine learning? Follow this series! 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.
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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Развлечения
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.
when you will be starting the series wait for it, place cover all the topic in the series which you have discussed in this video
You are cute though
Love and Respect from Pakistan ❤..... Computer Genius
Hello Kylie you should provide pdf of roadmap in the description
Thank you
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.
NO WAY. was literally wondering if you had any new vids recently and lo and behold!
This was really in depth, and really good. Thanks a lot Kylie!
Thank you so much! This roadmap and layout has helped me so very much! Bless you! I’m following your channel for sure
this is amazing and thank you so much. Will definitely stick around and learn with you
Your haircut looks amazing 🎉! Thanks for the guidelines!
I strongly believe Kylie Ying is the only chanel I need for Data Science stuff. Thank you for your quality, informative and educational content.
YES! FINALLY you posted! can you make more videos about MIT? etc?
Kylie - Your course content is excellent. Thank you for sharing.
Thank you so much kylie😊😊😊
Thank you I really need this.
One of my fav programming channels by far!
Underrated Creator.
Where'd she goto school tho and did she work at the magnificent 7 or no
@@BarbBoranne she went to MIT for both undergraduate and gradute study
Shes amazing, just not consistent
@@fauxz3782 what do you mean by 'not consistent' ?
@@dsindun7224 doesn't upload consistently enough
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
Welcome back sensei
Thank you for this video!
You are such a great teacher. I'm just glad to know such teachers exist. I would love talk to you someday!
Much needed video!
That's a great one. Thankyou :)
Very detailed.Thanks
谢谢Ying 老师，准备开始学习ML
you are simply exceptional
post more often. you are a great teacher
She's invaluable! Genius lady
Very helpful! Thank you
This is the single most precise video I have come across on internet which covers all things for learning ml. Thanks!!
Kylie is a gift to humanity
looking forward to more from this machine learning series...
Thx kylie for this video ❤
thanks for roadmap
this is really clear explanation
U my daughter role model. She watch every of your videos.
Hey, we miss you ❤️ please make more videos
Thank you.
Thank you!!
Very useful Video, Thanks
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
Smart, beautiful creator, good public speaking, thank you for providing good information. underrated creators❤
Can you tell us where can we find papers in ML, what side or pages do you usually visit and how you would search useful papers?
Great one! Would you please do one for a data engineer role?
Amazing!
Thank you
Waiting ❤
Math contents for ML would be really helpful.
thanks
:)
It is very interesting ML
make a video on the best resources to learn all the concept of machine learning it might be a hard copy or a soft copy
really love u Ying
@KylieYYing you inspire meeee
sister may i know when will your source start as It will so help full for my first year at collage
your fcc video was very good. can you make math oriented videos? math specifically for ml. i see so many implementation videos but hardly anyone explain the math. that'd be extremely helpful. you may get lesser views since people directly want to jump to the coding part but for long term growth it'd be awesome.
Welcome back.. Been miss your videos
Hello kyle, i wanna ask. For data scientist, which one is the best to use, windows laptop with rtx gpu or macbook pro?
Machine Learning Specialization on Coursera is the best way to do it.
Do I need to practice DSA for interviews ? For data science
Hey Kylie can you make a discord group also for ML, where we can learn with peers. This will make the process a little bit easier. Btw thanks for such awesome content. Eagerly waiting for the videos in ML
What computer would you recommend PC or Mac? Air or Pro. if Mac? What specs? Thank you.
Nice
How long should this take from start to finish
Really Nice video, i am a 42 network engineer and i would like to move to machine learning. I have start my python journey thanks for all the other necessary roads. Do you think starting coding and learning the math on the side can be ok ?
could you tell me how much calculus knowledge I need to understand?
Madam
This channel is very help full for me
I tell you that madam
Please make full project
How to input data SQl server
How to get data useing API and lang language
And give us 4 to 5 project for do
Remember that if we use lang language for ML Ai
So in this case we need API ki of chat gpt
Then we enter a prompt then they give us answers like chat gpt
I need help ive just finished my python and two pandas and numpy librebries, the thing is i want to learn matchin learning and now i have watched so many are suggesting different different kind of Libs and things and that's making me confusing and not available the courses of Libs of those they suggest and now im confused that what to learn and where to take next move for ML
So long story short.....99% math 1% programming 💀
That's why i love it
You can say but most of the math work will be done by libraries and functions that are already implemented but if you don't know what they are doing then you didn't get most of the things
Programming, language, and math are one and the same.
U look amazing ❤️💜
Can we complete the roadmap and make 1 or 2 project in 1 month?
Is a Masters degree required for this profession, or can I get into it with a bachelor's degree in a non-STEM disipline as long as I learn all these subjects?
tell me best python programming level language for the developer
Maybe first go into coding and then go into theory. Knowing Basic Maths is enough and then tinker with simple libraries like SciKit Learn First. Then go into the theories of these models first
you can give us an entire series of Python vid, it will be useful for all the datageeks, who want to learn form the best of the best
ML, LFG!
please create a tutorial on python
recommend more like channel
Hi can you please recommend some youyube channel you like it and good for us please?
Is youre serie ' python for beginers' finish?
You're being too personal
So the Linear Algebra involved isn't that advanced. Just up to eigenvalues/eigenvectors. No Jordan canonical form or bilinear forms?
And what are the core statistical concepts needed.
funny how humans have to learn "machine learning" 🙂
Whats funny on it?
❤
I am not an expert but i think there is no need to learn AI/ML. ChatGpt model is enough and fine tuning it to our various use cases in our daily is the next step in this field. All these foundational learning is required for researchers who want to develop a model like ChatGpt.
Its like you have wordpress and wix why you should learn web development!!!!
Machine aside..... You're sooo Beautiful 😍💘
You are too cute 🥰 teacher 😻💞 Love you Teaching MAM
I got exam next week
How much math is enough math for ML...I have done the basic math..but I feel like it's never enough
i agree, i am sure all that math is important but forcing yourself to learn all that can kill your drive to get to the fun stuff.
I think you should check it out. Which parts can be applied in each matter? Then come back and measure the results. Is it enough?
@@Louderthanthunderx1 yeah maybe you're right...that sounds great
@@animetransition1030 It should help you stop feeling overwhelmed. 'Cause I'm the same.
18:40 Are these all algorithms your models. I take a LinkedIn Learning course on Generative AI and Machine Learning is in the Intro. to AI course and it explains algorithms that Machine Learning uses to process its data. And I notice you asked me to subscribe like and comment but I don't ever get a response besides your mannerisms expressing you contacted my college and told them I sent you bad messages on X and IG and RUclips comments because... hopefully my evaluation isn't underfitting 22:00.
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.
💙 Thanks 💙
i wish i was
🇨🇳 Chinese 🇨🇳
🌀💙🌀
💙
Machine Learning =
Robot consciousnes,
(but not awareness)
I'm 31, too late to learn?
it's never too late to learn bro
The first best time was yesterday and the second best time is today
Sacrifice 1 year and you will see the magic…
For perspectives there are several immigrants that are in their mid 40s and are able to succeed in getting a 6 figure income here in SF Bay Area. Never too old to make a change
No i am 54 and learning
are u an MIT student(or alumini)??
Alumni
realy hot
I highly advise poeple do not learn AI/ML. This field is saturated and you will not get far after entering into this field.
Then what to learn,I dont want to get into web development,any other field to look into
@@user-de6uj9pf3o best of luck.
@@user-de6uj9pf3o I think web3, blockchain, cybersecurity will do. But data science is saturated. I applied to data analyst position which requires 0-5 years of experience and has only 1 position open. Applicants were more than 7k. That's when I know this is the wrong field to get into.