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.
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.
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!
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.
@@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.
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
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
00:02 - Build strong foundational math skills for effective machine learning learning 02:39 - Brilliant offers hands-on problem-solving lessons for AI and data learning. 05:10 - Importance of derivatives, linear algebra, and parallelization in machine learning 07:57 - Statistics, Calculus, and Linear Algebra for ML foundation 10:20 - Python's object-oriented programming is based on classes and libraries are relevant for machine learning. 13:07 - Understanding the key concepts of different types of machine learning. 15:59 - Feature Scaling and Feature Engineering in Machine Learning 18:21 - Key machine learning models include SVM, linear regression, neural networks, perceptron, K-means, and PCA. 20:59 - Training, evaluating and improving ML models. 23:13 - Utilize UA-cam and other internet resources for learning **************Thank you so much ma'am.****************
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.
You earned a subscriber today! I was skeptical about the roadmap and you have explained crystal clear that I don't need to watch any other videos. Thank you !
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
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.
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
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.
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
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
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-powered recommendation systems tailor user experiences by offering suitable content, products, or services based on their behavior and interests.
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?
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
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.
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!
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
U my daughter role model. She watch every of your videos.
Kylie is a gift to humanity
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
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
00:02 - Build strong foundational math skills for effective machine learning learning
02:39 - Brilliant offers hands-on problem-solving lessons for AI and data learning.
05:10 - Importance of derivatives, linear algebra, and parallelization in machine learning
07:57 - Statistics, Calculus, and Linear Algebra for ML foundation
10:20 - Python's object-oriented programming is based on classes and libraries are relevant for machine learning.
13:07 - Understanding the key concepts of different types of machine learning.
15:59 - Feature Scaling and Feature Engineering in Machine Learning
18:21 - Key machine learning models include SVM, linear regression, neural networks, perceptron, K-means, and PCA.
20:59 - Training, evaluating and improving ML models.
23:13 - Utilize UA-cam and other internet resources for learning
**************Thank you so much ma'am.****************
NO WAY. was literally wondering if you had any new vids recently and lo and behold!
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.
Share the link
I strongly believe Kylie Ying is the only chanel I need for Data Science stuff. Thank you for your quality, informative and educational content.
This has to be the best "Roadmap" I've seen in 2024.
This was really in depth, and really good. Thanks a lot Kylie!
Merci pour cette roadmap 😀
You earned a subscriber today! I was skeptical about the roadmap and you have explained crystal clear that I don't need to watch any other videos. Thank you !
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
One of my fav programming channels by far!
She's invaluable! Genius lady
Hey Kylie, I’ve just started my ML journey with your video! Super excited to dive in and see what I can accomplish. Thanks for the great content👍
This was great. Super easy to understand
Nice video! Pretty straight and summarized. Nice one!
Thank you Kylie Ying
just subbed for your ml course loved this video by the way
Love it! Thanks for sharing!!
U and Keith Galli are my favourite ds youtubers 🎉
You are such a great teacher. I'm just glad to know such teachers exist. I would love talk to you someday!
post more often. you are a great teacher
wonderfully clear, Thank you.
Excellent video Kylie. Which resources would you suggest to supplement the roadmap?
Absolutely loved this! Thank you, my new heroine; what a dove!!
This is the single most precise video I have come across on internet which covers all things for learning ml. Thanks!!
Welcome back sensei
Thank you I really need this.
Kylie - Your course content is excellent. Thank you for sharing.
Machine Learning Specialization on Coursera is the best way to do it.
Do you mean Andrew NG Course of ML course???
@@DanishAli-oi7ej yup
Truly commendable!!! Precise, well-explained and clear!!! Keep it up❤
this is really clear explanation
you are simply exceptional
Thank you so much
Smart, beautiful creator, good public speaking, thank you for providing good information. underrated creators❤
YES! FINALLY you posted! can you make more videos about MIT? etc?
looking forward to more from this machine learning series...
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
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 so much kylie😊😊😊
Very helpful! Thank you
Your haircut looks amazing 🎉! Thanks for the guidelines!
Thank you so much! This roadmap and layout has helped me so very much! Bless you! I’m following your channel for sure
Outstanding video!
this is amazing and thank you so much. Will definitely stick around and learn with you
how can i get a full screenshot of the roadmap? the board you were writing at, i mean
ah, and very helpful video. thanks a lot
Hey, we miss you ❤️ please make more videos
Thank you for this video!
Math contents for ML would be really helpful.
Much needed video!
Good and meaningful information .
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.
谢谢Ying 老师，准备开始学习ML
Very useful Video, Thanks
Very detailed.Thanks
Considering how I approach problem-solving in science and engineering with machine learning, what changes would I make to this roadmap?"
thanks for roadmap
thank you!
Thank you.
Thx kylie for this video ❤
Thank for guide me 😊
Great one! Would you please do one for a data engineer role?
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
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.
sister may i know when will your source start as It will so help full for my first year at collage
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.
Thank you!!
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.
Is it possible to download the roadmap sketch?
video on data science too !
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
Amazing!
Thanks ma'am
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?
Can please tell how i can apply that in 3d cad area? Or i can worry about that after learning ML
Machine learning-powered recommendation systems tailor user experiences by offering suitable content, products, or services based on their behavior and interests.
is in AI/ML ENGINEERING THERE IS COMPULSORY TO LERAN AND PRACTICE DSA IN PYTHON?
How much of python do you need to learn in order to get in the ML fielt?
Waiting ❤
@KylieYYing you inspire meeee
It is very interesting ML
Hi, can a newbie start trading or do I need a specific degree for it? Also, any resources/books that you'll recommend?
Do I need to practice DSA for interviews ? For data science
gd video on ai.
really love u Ying
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?
How long should this take from start to finish
could you tell me how much calculus knowledge I need to understand?
Bonjour, combien de jour pour obtenir le boulot comme data analyst
what is LLM and NLP
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
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