Making Friends with Machine Learning: The Entire Course
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- Опубликовано: 15 сен 2024
- All in one place: the best AI course you’ve ever watched!
You can now enjoy all 6.5 hours of Google’s legendary AI course designed to enlighten AI beginners, grow technology leaders, inform better citizens, and amuse AI experts!
This video is the feast version. If you prefer to learn in bite-sized nibbles, you can find the individual chapters as short videos on the bit.ly/mf-ml playlist. The episode guide is in the top right hand corner of every video.
Don't forget to hit subscribe+notify! If you found this video useful or enjoyable, the best way to say thank you is by sharing it.
Looking for hands-on ML/AI tutorials? Here are some of my favorite 10 minute walkthroughs:
AutoML - console.cloud....
Vertex AI - bit.ly/kozvertex
AI notebooks - bit.ly/kozvert...
ML for tabular data - bit.ly/kozvert...
Text classification - bit.ly/kozvert...
Image classification - bit.ly/kozvert...
Video classification - bit.ly/kozvert... 
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This is the only 6 hour video I have ever seen in my life. Hands down Cassie has a gift of making super complex things appear easy. Fantastic story telling. She is a rockstar of the machine learning world and will inspire millions to explore ML with these videos.
If it's loooooong, I'll like it.
@@tomaszp2027 well i guess the side effect is that when you are talking 6 hours non stop, your personality is going to leak out to the content, delibaretly or not, but still, well worth the value you are getting
This is the most student friendly content I have seen on ML. Super useful for non technical folks.
Oh my this was 6 hours well spent. Cassie is an excellent teacher in many ways. (Clarity + Creativity) * Passion = Learning with hunger for more. Fantastic in all aspects.
I am taking a Machine Learning elective this semester for my undergraduate degree and this is just gold. It's amazing how Cassie explains these concepts that are deep in a way that even a child could understand. Very Feynman-esque! ✨
Cassie - you rock !!
Someday to meet up with such an interesting person.
Cassie, you are so brilliant and yet you narrate complex concepts in a simple manner. For some reason I am reminded of Richard Feynman. Thank you.
I'm a marketing analyst/sales data/CRM/loyalty type person, and have had for some years a deep unease with the way the terms of the field were bandied about, and the focus on the maths. I've been drowning my brain in as much stats as I can, and despaired at the idea that this field would be solely the purview of the pure statistician and the coders. I felt that that would be a poor place for marketing and conusmer experience development to end up in. I'm 90 minutes in and the sheer relief at your pov, and the details shared here is palpable for me, I honestly feel like a weight is being lifted. So great. Love the 4 degrees thing. I have come to the same conclusion in my world! Kudos for all of your hard work to date and huge thanks for putting this together. It's brilliant.
Cassie, you have been really a critical part why i fell in love with Machine learning. The way you explain the intimidating Machine Learning terms and made it "kinder-friendly" is just amazing!
I remember watching this video almost a year ago, the part 1(the yummy vs not yummy wine and the fun part of predicting the smoothie exercise) , i didn't even notice that i finish the 1 hour video because you are so engaging and you are like telling a story! (provided that English is not my first language, i am definitely hooked!!)
Your videos is indeed my great foundation of my ML and stats journey!
You could have stopped at 13th word :)
I was taking some decision-making courses in LinkedIn Learning until one of the videos mentioned your name. And now, I just finished your Decision Intelligence course and I love it so much! I find this field very interesting and helpful in my life. I hope you have more detailed videos about it. But for now, I'll watch all your videos on youtube and wait for you to release your book. I'm such a fan!!! Hope I meet you in person or just even attend any of your public speaking engagements.
Thanks for making it public again, this course was my go-to recommendation for everyone who asked me "how do I learn machine learning?"
I have not completed the 6:22:28 hours yet. BUT I enjoyed every second of what I have watched so far. Thank you for this brilliant presentation.
Many Thanks Cassie. Enjoyed the whole 6+ hours of content. Loved your presentation style. Suggested to my friends and Peers
You know its great when after reading all the other stuff on ML and endless online material out there that this is the one that gives you that feeling of the "the penny has dropped" and "aha" moment in your understanding - great course and hope she does a follow ups to go deeper into other topics like the current LLM space in her own style of delivery. If you are new to ML or even have started on your journey, starting here will give you a great foundation to build upon your knowledge. It's even a great place to revisit concepts to refresh yourself. Thanks Cassie for sharing this with the world and help others in their journey.
Great course, I watched it many times. I hope you make a practical code course too. 😃😃
I’m amused as to how she has attention to detail with flawless ease , I guess that’s what happens when you love a concept , be it human or a topic ❤ pure intelligence , enjoyed every bit of it !
3:42:00 - the insights were useful about validation data essentially becoming training data if they're used for debugging
Love you for your prop for Kernel ! :D
So easy to follow and seamless to recollect
glad to see this available in a single video, not that the three part one was an issue!
Fantastic video Cassie. Thank you for doing this and sharing too. 👏👏👏👏👏 Mike
Brilliant! Thank you for all your efforts to help others learn in an interesting way. I like your analogies, makes it relatively easier to understand.
this is a tremendous gift to everyone who goes
through it. thank you so much
Have to agree. Watched Cassie’s video on linked in learning. Put so many concepts into context ! Brilliantly done
You flawlessly generated my interest in the topics kudos for your efforts
Great lecture on Machine Learning! Enjoyed how you integrated it throughout your presentation. Very engaging.
Tinkering my way into ML products! Thank you, Cassie!
Cassie there is a very important question I wish you will make video to answer it: What are the important statistics and math topics we should focus on to become ML engineer? Math is so broad and we don't know what to learn. Also we don't know if we can learn this field without going through thick math books??
Thankyou so much for the video .Every topic of Machine learning explained with clearing of all the intricacies in the simplest manner possible. You are an awesome teacher. thank you so much
Omg this is amazing!! thanks for the course...
you're definitely my inspiration since I took the Data Analytics course on "Coursera"
thats awesome! thanks very much for sharing it with us. big shout out from brazil!
hi cassie, i would love to know your thoughts on how a self-studier can get their first machine learning job, what qualities you look for in applicants for junior roles, things an entry-level machine learnerer might find themselves doing. thanks for the course and your presence in the youtube universe
Great course! You made me feel like Bones in Star Trek TOS S3ep01 after using the helmet of the Great Teacher of all the Ancient Knowledge. One question though: Call me a 66-year-old semi-deaf spoiled brat if you will, but why are there no sub-titles? Besides helping me understand every word it would have made indexing and retrieving subjects much faster. Now i have to download the video and create subtitles with some unsupervised ML transformer...🤔 Oops, found the 4-part version has the subs. Happy New Year Cassie and everyone at Alphabet! Did anyone there take the time to calculate the effect all the hard drives' spin has on earth's rotation axis? Bye for now i'm going back to "Cramming:Training a Language Model on a Single GPU in One Day: to download all its references. Seems useful since i have only a few RTX A4000 cards. 🤪😜
You are a charming and powerful instructor. Thank you for making this.
One of the best courses by the Legendary Cassie!
Excellent lecture! My first step to this long journey of ML expertise. Can you provide the slides for further pondering?
BEST BEST BEST !! Amazing Content😍
Thank you Cassie for this course, it is a great opportunity to learn about the underlying principles and techniques used in modern AI systems.
Your humorous approach to teaching makes the course feel like it goes by quickly.
It is important to have a strong foundation in these concepts in order to understand and effectively apply machine learning algorithms in practical situations.
Overall, I believe that this type of course is an essential resource for anyone interested in learning about AI and its applications.
I devoured this video over the weekend - best 6 hour time investment in my learning ever. Thank you so much for sharing your energy and passion! This was hands down the best explanation of so many topics!
The way she explained it is amazing and i think a 12 year old would learn ML if someone explains them like this
Can we have timestamps for the video?
Thank you @Cassie. This is really informative 👏 👌
Should i go with this or the playlist?
Thank you Cassie!
I am simply amazed every time I see Cassie presenting
Great video to understand ML , love it Cassie ❤️
Great video , beautiful analogies and explanations .
Can we the pdf of the course which you were using throughout ?
It's very interesting to me for learning English clearly.
After all I'm kicked out jobs like insane 😂 sold this notebook to buy my medical. Stopped the last year graduation... No one help
Thank you so much 🙏
Thanks for the great knowledge!
best lesson @ 1:10
Thank you Cassie❤
My fav video on ml so far❤
What are the prerequisites for the course?
This is insightful writing. If the topic piques your interest, a book with matching themes could be enriching. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
Cool course
Awesome content. Amazing presentation skills.
This is an amazing training @Cassie - Will you be kind enough to share the deck you used to run the program?
Teams, whatsapp, paper, color pena, vídeo, tips to get a hidden box that I full of candy, chocolate... Schedule, time, screen lol: the other groups are almost there 😂 practice, use box paper dictionary that I leave in classroom, catch smartphone in this time secure in a box, make maps that obliged interaction people in English or other language... Steps make parties and events only English. Almost give chances of touristic after practice vocabulary of this application in the tur.
Why should one do the Non-Linear Transformation before looking at the data?
Estoy haciendo una maestría.
No sé inglés pero me pusieron esta conferencia.
Aquí estoy, intentando entender lo que dice para aprender.
It would have been amazing if the video had caption.
Fantastic!
Beautiful mind
Who else watching to Web Summit Rio?
Nice! 👍
Wow, such a great performance.
Amazing!!!!!!
mam,its really awesome,where can we get this ppt
1:06:00 bookmark
28:44 progress
I watched your talk live in 2019, WIDS conference Lebanon in AUB. It was one of the reasons that made me go to data science ruclips.net/video/C5haZOKMrCM/видео.html . In "Making Friends with Machine Learning: The Entire Course" at 1:09:21, you used similar the concept and photos that I kept in my mind and used for years while sharing concepts about ML/DS. Now that my data science journey has brought me to Poland and soon I will start a new job in banking, I wanted a friendly refresher on machine learning, and boom! that pizza! It just put me on a throwback and really made my day. Your outreach is amazing and I want to thank you for it. You are an inspiration! I hope you see this comment and it also cheers you up :) Cheers!
Watch it ax 2x speed, and it's the best 3 hours on ML! lol
Cassie on fire!!!
Beauty with brains 💐❤🤝
where is the translation!!!?
Already I have completed 2:30:50
Actualy, nutrition has to do with more than protain, fat, and carbohydrates. There are micronutrients/vitamins and minerals, herbs, antioxydents, and we are learning more as time goes on. So assuming we already know the answers is foolish.
The Patagonia dude should get some money from them for free advertising
1:27:42
46:10
Bangladesh.
I don't understand how this got only 30k views when Taylor Swift videos (which are much shorter, yet much more boring) get regularly over 100M views :-o People are weirdos.
Your voice look like machine... something hidden inside.
What a charlatan