How to learn Machine Learning (ML/AI Roadmap 2024)
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- Опубліковано 3 жов 2024
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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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Where are you in the roadmap? Follow this series to learn about machine learning!
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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.
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.
💯
Hard way. But you can go back to more fundamental after some experience, since you supposed to be beginner at start begining.
@@imamkusnendar3078 Going back to the basics is much more difficult than learning it in the beginning because responsibilities will increase on you at work and life in general, and you may not find time to go back.
@@rubydev1162 I agree. You must master the basics.
I got to know when i jumped in learning basic algorithms like linear or multi variable regression,i got to know that i am cooked in linear algebra and vector calculus
hopefully anytime I need to study ML, I can look back on the critical point I made for myself to check up how far I have gone by in ML. 3:39,5:29,8:00,12:25,14:12,15:59,17:22,19:40,20:54,22:25,24:58, after I mark them down I realize they are more of endpoints of all of the key topics!
NO WAY. was literally wondering if you had any new vids recently and lo and behold!
funny how humans have to learn "machine learning" 🙂
Whats funny on it?
18th century: human learning( slave trade)
21st century: machine learning( machine slaves)
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.
When I started learning ML, earlier this year - In march 2024. I had two choices- 1 the scikit learn in 1 hour utube video and another one.... the whole math + python + dsa + libraries and then scikit learn. It took me 7 months to cover whole math + python + intermediate level dsa in python + libraries in python + supervised and unsupervised ML + Git and Github + Deploying our ML as APIs + Neural Networks . If I would have choose that 1 hour video, I wouldn't have understood the concepts clearly.
U my daughter role model. She watch every of your videos.
Love it! Thanks for sharing!!
谢谢Ying 老师，准备开始学习ML
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
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
One of my fav programming channels by far!
She's invaluable! Genius lady
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?
Thank you I really need this.
This was really in depth, and really good. Thanks a lot Kylie!
Thank you so much kylie😊😊😊
this is amazing and thank you so much. Will definitely stick around and learn with you
Kylie is a gift to humanity
Your haircut looks amazing 🎉! Thanks for the guidelines!
Machine Learning Specialization on Coursera is the best way to do it.
Do you mean Andrew NG Course of ML course???
@@DanishAli-oi7ej yup
Hey, we miss you ❤️ please make more videos
you are simply exceptional
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
looking forward to more from this machine learning series...
U and Keith Galli are my favourite ds youtubers 🎉
Welcome back sensei
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
this is a gd video, course for ai to be safer i think learning both is gd for bigger and smaller models. although i wondering if u only need to learn one of if actually at a university. anyways. gd luck and be o.k. anyone who may do this courses.🙋🙂.
m.l. d.l..
Very detailed.Thanks
Considering how I approach problem-solving in science and engineering with machine learning, what changes would I make to this roadmap?"
Outstanding video!
I strongly believe Kylie Ying is the only chanel I need for Data Science stuff. Thank you for your quality, informative and educational content.
video on data science too !
I studied economics in college where I learned some stats and linear algebra, calculus and I have some basic data structures and algo knowledge from doing leetcode that and web dev experience, can I go into machine learning? Feels too late to go back to school. And can I ask how long does roughly all these take before I can get a job?
Machine learning job role & AI contribution: ua-cam.com/video/_ArcNNoaLww/v-deo.htmlsi=vzzYlQ5ZGHWG14GU
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
sister may i know when will your source start as It will so help full for my first year at collage
Machine learning-powered recommendation systems tailor user experiences by offering suitable content, products, or services based on their behavior and interests.
Thank you!!
Merci pour cette roadmap 😀
What computer would you recommend PC or Mac? Air or Pro. if Mac? What specs? Thank you.
just subbed for your ml course loved this video by the way
@KylieYYing you inspire meeee
YES! FINALLY you posted! can you make more videos about MIT? etc?
Hey Kylie, I'm in my end of second semester. I got all the basics of python, data structures and still practicing. I am interested to follow your roadMap. Is it too early or should I start now? I would be so happy if you would please clarify on the point.
How long should this take from start to finish
It is very interesting ML
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.
Hi, can a newbie start trading or do I need a specific degree for it? Also, any resources/books that you'll recommend?
узнал много нового про альткоины из твоего обзора я даже не думал, что сейчас есть столько крутых перспективных монеток
Nice video! Pretty straight and summarized. Nice one!
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 ?
Of coarse my friend
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
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
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?
Can please tell how i can apply that in 3d cad area? Or i can worry about that after learning ML
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.
Machine Learning =
Robot consciousnes,
(but not awareness)
You should use a teleprompter if you need to see the lines or something.... throughout the video you are moving a lot but also looking anywhere else.
Hi can you please recommend some youyube channel you like it and good for us please?
How much of python do you need to learn in order to get in the ML fielt?
is in AI/ML ENGINEERING THERE IS COMPULSORY TO LERAN AND PRACTICE DSA IN PYTHON?
Smart, beautiful creator, good public speaking, thank you for providing good information. underrated creators❤
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
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
post more often. you are a great teacher
CS 4780
tell me best python programming level language for the developer
what is LLM and NLP
Truly commendable!!! Precise, well-explained and clear!!! Keep it up❤
Btw, u only need chat gpt nowadays to code for u 😊
gd video on ai.
You are too cute 🥰 teacher 😻💞 Love you Teaching MAM
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!!!!
Very useful Video, Thanks
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.
could you tell me how much calculus knowledge I need to understand?
Machine aside..... You're sooo Beautiful 😍💘
Bonjour, combien de jour pour obtenir le boulot comme data analyst
Do I need to practice DSA for interviews ? For data science
Hello kyle, i wanna ask. For data scientist, which one is the best to use, windows laptop with rtx gpu or macbook pro?
If you have option then go for desktop windows pc, so that you can upgrade the hardware as needed. I bought $2600 Alienware desktop last year with rtx 4070ti
wonderfully clear, Thank you.
You are such a great teacher. I'm just glad to know such teachers exist. I would love talk to you someday!
Math contents for ML would be really helpful.
Good and meaningful information .
This has to be the best "Roadmap" I've seen in 2024.
Thank you.
Thank for guide me 😊
Thank you so much! This roadmap and layout has helped me so very much! Bless you! I’m following your channel for sure
Kylie - Your course content is excellent. Thank you for sharing.
Great one! Would you please do one for a data engineer role?
Medical
Librarian
please create a tutorial on python
this is really clear explanation
recommend more like channel