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!
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
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
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
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
Machine learning-powered recommendation systems tailor user experiences by offering suitable content, products, or services based on their behavior and interests.
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
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.
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
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?
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?
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..
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 ?
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!
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
U my daughter role model. She watch every of your videos.
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
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.
Kylie is a gift to humanity
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👍
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 !
I strongly believe Kylie Ying is the only chanel I need for Data Science stuff. Thank you for your quality, informative and educational content.
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
NO WAY. was literally wondering if you had any new vids recently and lo and behold!
This is the single most precise video I have come across on internet which covers all things for learning ml. Thanks!!
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
This was really in depth, and really good. Thanks a lot Kylie!
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
She's invaluable! Genius lady
Smart, beautiful creator, good public speaking, thank you for providing good information. underrated creators❤
Merci pour cette roadmap 😀
One of my fav programming channels by far!
You are such a great teacher. I'm just glad to know such teachers exist. I would love talk to you someday!
Excellent video Kylie. Which resources would you suggest to supplement the roadmap?
Nice video! Pretty straight and summarized. Nice one!
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❤
just subbed for your ml course loved this video by the way
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?
This has to be the best "Roadmap" I've seen in 2024.
U and Keith Galli are my favourite ds youtubers 🎉
This was great. Super easy to understand
Absolutely loved this! Thank you, my new heroine; what a dove!!
Math contents for ML would be really helpful.
Kylie - Your course content is excellent. Thank you for sharing.
post more often. you are a great teacher
Hey, we miss you ❤️ please make more videos
谢谢Ying 老师，准备开始学习ML
Thank you Kylie Ying
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
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
Thank you so much! This roadmap and layout has helped me so very much! Bless you! I’m following your channel for sure
YES! FINALLY you posted! can you make more videos about MIT? etc?
this is amazing and thank you so much. Will definitely stick around and learn with you
Thank you I really need this.
Love it! Thanks for sharing!!
wonderfully clear, Thank you.
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.
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
Thank you so much kylie😊😊😊
Your haircut looks amazing 🎉! Thanks for the guidelines!
looking forward to more from this machine learning series...
this is really clear explanation
Great one! Would you please do one for a data engineer role?
Welcome back sensei
Considering how I approach problem-solving in science and engineering with machine learning, what changes would I make to this roadmap?"
you are simply exceptional
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.
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
Very helpful! Thank you
Thank you for this video!
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.
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
Outstanding video!
thanks for roadmap
Very detailed.Thanks
video on data science too !
Thank you.
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
Much needed video!
Good and meaningful information .
What computer would you recommend PC or Mac? Air or Pro. if Mac? What specs? Thank you.
Hi, can a newbie start trading or do I need a specific degree for it? Also, any resources/books that you'll recommend?
thank you!
Very useful Video, Thanks
Thx kylie for this video ❤
Thank for guide me 😊
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?
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?
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..
Thanks ma'am
Thank you!!
Waiting ❤
gd video on ai.
Amazing!
Is it possible to download the roadmap sketch?
It is very interesting ML
How long should this take from start to finish
Do I need to practice DSA for interviews ? For data science
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
@KylieYYing you inspire meeee
Welcome back.. Been miss your videos
Bonjour, combien de jour pour obtenir le boulot comme data analyst
what is LLM and NLP
How much of python do you need to learn in order to get in the ML fielt?
really love u Ying
is in AI/ML ENGINEERING THERE IS COMPULSORY TO LERAN AND PRACTICE DSA IN PYTHON?
Can please tell how i can apply that in 3d cad area? Or i can worry about that after learning ML