The Best (Free) Machine Learning Courses Online!
ฝัง
- เผยแพร่เมื่อ 27 ก.ค. 2024
- In my journey to become a machine learning software engineer, I took many free online machine learning courses to learn the fundamentals, deep learning, and popular ML libraries. In this video, I describe my three favorite courses for that most impacted my career (links below).
Chapters:
0:00 - Intro
0:48 - Learning the Foundations
4:43 - Practical ML Frameworks
6:57 - Putting ML Skills to Practice
10:17 - The Journey Ahead
Links to the free courses:
* Coursera: www.coursera.org/learn/machin...
* Google's Machine Learning Crash Course: developers.google.com/machine...
* Kaggle's Practice Competitions: www.kaggle.com/c/titanic and www.kaggle.com/c/digit-recogn...
Good luck, and have fun!
My TH-cam Camera Gear: kit.co/charlesweill
NB: Some of the links in this description are affiliate links that I give me a kickback. This helps support the channel. 🤗
#charlesweill #machinelearning
Thanks Charles. Very informative for anyone aspiring for ML Software Engineer.
Great video. Clear, concise and practical. Not overwhelming like many of the other ML road maps I've seen. Thanks!
Sir,High clarity with Professional Presentation and easy to grasp the skills. Thanks and Regards
Great video Charles! Really well explained and this would be super useful for anything wanting to get into Machine learning. Can't wait to see what more you have to offer.
Thanks! I'm glad you enjoyed the video. :))
Thanks for this Charles - some great pointers to get me started! Good luck with the channel :-)
Thank you Alan! Good luck in your ML journey!
Great Video Charles!
Hats off man!! , you're the most genuine guy helping us find courses related to machine learning because alot of people on yt just beat around the bushes. Keep up the good work fella
I appreciate that!
thank you so much Charles Weill !!!!!!!
Excelente vídeo, deu-me um incentivo para aprender ML, muito obrigado.
Thanks for the info man, this information is going to save a ton of time
What a great video! Would be interested in knowing where you learned python and to which proficiency before did you learn it
Please continue to upload new videos about Machine Learning, thank you for your videos. It is very helpful for me as I am currently studying machine learning at university.
This is a very informative video!
Wow this video is popping! Looks like TH-cam is doing the right thing and promoting it finally!
Slow but steady. This just goes to show that I gotta keep playing the long game with TH-cam. :)
A very helpful video I was looking for.I thought to take google crash course.Thanks
Thanks for ur help, brother : )
I've been on one course for a year now, looking forward to working hard
Tq Charles,...invaluable advice
this is great, thanks
Thank you Sir. It is Very Informative video 🙏
Thanks a lot for ur advice
Thanks man, great content
Thank you!
I am a recent graduate of BS Computer Engineering and the innumerable benefits of Machine Learning jobs makes me want to really dive deeper into it. You are literally the best first person to watch and continuously subscribe to when it comes to topics like these. Engaging and Outcomes-Based. Thank you.
Is this course free yet?
@@raniduharshana5238yes
Thank you!
Good review I liked it..
Thanks for the great video! Any advice on how to prepare for ML system design interviews?
Great video really
Thanks bro
It wat helpful
Thanks a lot
I really appreciate
I am currently a software engineer.
I am planning six months long to switch into ML this year
How did it go
Which Machine Learning courses did you take?
Edit: my bad, i realize that the Coursera course isn't free, but it's totally worth the $50 price tag to learn the fundamentals.
Started the coursera course by curiosity but never finished it.
@@SEIFHATEB I took this course three times. The first two times I dropped out in the first few weeks. But I feel like the content improved over the years and by the third time it felt pretty streamlined and not too math heavy.
@@SEIFHATEB SAME ahah
Yeah its pretty true that you don't need math, but for me, I have this weirdly deep interest in machine learning, NLP, that I just feel like I need to learn the math or else ill really regret it T-T. A very weird gut feeling. Btw, I'm subscribed, great content!
Great video…
Thanks, Can you do a video on Free courses to learn Maths needed for DS?
Thanks!
Getting my masters in compsci with my emphasis on machine learning and data science
Really going to shoot for this! All the way from homeless it will be an awesome story!
What school has a M.S. in compsci with an emphasis on Machine Learning ?
With the Andrew Ng course being updated into a specialization, do you plan on reviewing that now?
Thank you so so much! When I become famous I will 100% give you a shout out, lol. One question, do I need to learn Python beforehand to start ML with Coursera?
I had taken Andrew Ng's course but currently they have updated it.. I hope I can find the older version because I had not completed that course
What's your thought on the book "hands on machine learning with scikit keras and tensor flow" ? Does it replace all of thz courses you named ? I am completely new to AI and ML. (Currently a mech-E student). I am asking because i like books 😂
It's reassuring to see that this is pretty much the plan I was following. I finished the ML coursera specialization and am now almost done with Google's ML crash course. What are your thoughts on deep learning specializations or the TF certification?
Brother please tell me its easy ? and how long will these 2courses take ?
@@usamasajid2600 Regarding the coursera ML specialization, it depends on how much free time you have. Doing 1 hour/day, 5 days/week, I completed it in 3 months. Google's ML crash course you could do in a couple of weeks.
Hi Charles.... Thanks for these informations. I would like to ask some questions and will be glad if I get a response.
(1) Completion of these certificates will make me prepare for an ML engineer role with my Kaggle experience ? Because the route is very quick to becoming an ML engineer (my thought)?
(2) They say it isn't necessary to learn ML if you want to specialize in DL. Is that correct? Because my objective is DL.
(3) What books do you recommend for both ML and DL - "Beginner", "Intermediate" and "Advanced".
Thanks for your swift response 🤞🏾
can you suggest some of the best online courses for deep learning please?
Will it be impactful if we dont have engineering background but only have some basic knowledge about python ?
Great summary - most impactful learning opportunity for me was a hobby project (Q-learning for Pac-Man): practice > theory
Oh that's a great idea! I'll make some videos about RL for games. Those are super fun!
hey need a bit of help i am a graduated chemical engineer and now thinking to study further in machine learning and data science but i almost know nothing of machine learning and i have to submit a research proposal in machine learning or data science can someone help me to chose a topic or how to find a topi thanks
Even if you are persuing data science does these course help?
charles, 1 damp question i got is how to take notes while taking classes
Here's how I do it. If the professor is writing on a whiteboard/blackboard, I just write down in my notes what they write. If the class is online, I don't take notes. The most important thing is doing the assignments, and just getting the experience of training ML models.
@@CharlesWeill My man, you replied within 4 hours, so nice of you. I will be doing the same from now. nowadays all online, so how are you planing a productive day, like what are the tactics to follow?
Bro it is asking money to get certificate. It is true the skill I get is important but if I get the certificate I would add it to the resume
Hello! I'm currently a high school student that's interested in learning machine learning. I have a pretty strong python foundation, mainly doing web scraping (got me interested in data -> and now machine learning) I don't mind self studying the math before taking the first course, but just what/how much calcalus and linear algebra would I need to cover? My main resource for learning math so far has always been Khan academy. Any answerers are appreciated.
I would really recommend the youtube series from 3blue1brown on linear algebra, and then his 4-video series on how neural networks work (the math behind it). This is where I personally started my own journey (I’m a high school student too)
@@qbbar future me here, i actually did that haha! Working on some python projects while advancing andrew ng's courses and watchinf youtube tutorials
try Ml course by andrew ng
How'd you get a job at Google itself after learning this, which is clearly not a startup.
AI for Everyone is excellent
How long do you think this will take please, for a complete beginner?
It really depends on a lot of factors. If you can already code and are comfortable with some of the math, the 3-6 months. If you need to learn to code add another 3-6 months. For a complete beginner (no coding or math background), I'd say 2-4 years of full-time work effort, assuming high school level credentials.
Thanks a bunch, Charles...
You kinda wrote that the resources you'd be sharing are free... But Andrew's course isn't... Is that a mistake on my part, or is there something I'm missing out on?
Bro In coursera , if you can't pay it then click audit course to get the content for free but labs , quiz and certificate wont be available but still knowledge is available for free. use it if u need it.
Is coursera one really free I'm asking because it says after free trial it's 49 dolars per month. Can we download the content (hehe)
You can audit for free...
What laptop do you use for ML and AI stuffs?
MacBook Pro M1 w/ 64gb ram. But most training i do in Google Colab.
@@CharlesWeill Does the M1 works very well for AI and ML projects? as well as for Data science? i am planning to buy the M2
the course in coursera isnt free
Bro, you look EXACTLY like that guy from the Big Short, Finn Wittrock lol
It is said that if Finn and I shook hands, we would both evaporate into thin air.
🤣@@CharlesWeill btw thanks for the awesomeroadmap tho
unfortunately the coursera one isnt free anymore, the labs are behind a paywall
This is fruitful content. If this theme attracts you, a parallel book would be an asset. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
Andrew NG course is not free
bros handsome
danm did anyone tell you ur handsome
He is lol
You just look like Brad Pitt !
machine learning specialization isn’t free
Na thunga pore
The first course of Andrew ng in not at all free!! 😑