Introduction to ML and AI - MFML Part 1

Making Friends with Machine Learning was an internal-only Google course specially created to inspire beginners and amuse experts. Today, it is available to everyone! This is the first hour-and-a-half of a six hour session.

The course is designed to give you the tools you need for effective participation in machine learning for solving business problems and for being a good citizen in an increasingly AI-fueled world. MFML is perfect for all humans; it focuses on conceptual understanding (rather than the mathematical and programming details) and guides you through the ideas that form the basis of successful approaches to machine learning. It has something for everyone!

To stay tuned for Part 4, don't forget to hit that that subscribe+notify button!

Looking for hands-on ML/AI tutorials? Here are some of my favorite 10 minute walkthroughs:

[geethikaisurusampath]

This is the way all courses should be. Really engaging and marvelous work Cassie. Thanks a lot for your effort and all others who helped.

[wolfie-]

the subtle humor in between makes the course so much more engaging.. One of the greatest instructors i've ever seen..i can't believe i completed a 1.5 hr video in one go.. kudos to Cassie, admirable job..

[TheHomo.Sapiens]

This content is gold, still in the year of 2024. A great explanation & delivery. Fundamentals are top notch.

[RajanPatel-py]

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. 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.

[boontecksim]

Wow I'm joining Google next month as a intern & have always wanted to pursue ML but was afraid that I might not be competent. This video really encouraged me. Quote "if you're too afraid to start you tend to not do well in applied machine learning". Ur presentation was really great and spot on. Thanks for the dedication in making it easier for us.

[agataWKW]

This is marvellous! Cassie, I'm in the middle, but already remember more about basics than after 5 previous ML courses I've already did. And it's funny. And I love how you talk about this stuff. First time in years I want to watch more about ML and I don't feel bored after 15 minutes. I will definitely watch all your lectures and finally apply all the knowledge that I'm gaining here. Because what I am missing is the flavour and a concept. I now the math for ML, but I lack the feeling, I think the most important part. Bravo Cassie! I'm so happy these lectures are available.

[EliteEquities]

Amazing talk; The content was great, but the delivery was flawless. Not to mention the subtle brilliant humor; even if it was a tough crowd

[dawidmarczak]

This content is an absolute gem. Thank you for making it available Cassie! Also, I'm still waiting impatiently for "MFML Part 4" :)

[tarekhosny]

If every course or subject was taught like that. I'd be an A+ student. Excellent, fun, not boring at all, a joy to watch and learn from course. Thank you so much and please keep doing more of these 😁👌🙏

[Basil-the-Frog]

This is a good one to show those who say they dislike school. Learning can be fun. Thank you, Cassie.

[CoachPegasus]

Summary of all textbooks in one video to understand ML . Thank you, Cassie

[igershe]

This is absolutely fantastic. I am glad I found this. An absolute treasure for anyone trying to understand the big picture

[bilalarif]

Just starting my journey in ML and feeling grateful for meeting your lectures, a really delighted learning experience for such a complex technology.

[zkkrhfhska]

as a statistician who has been rather skeptical of the entire premise of 'artificial intelligence' i must say this lecture series got me interested in understanding a little more. i think i still have many many reservations which probably stem from familiarity with models which can serve both for prediction but also for inference. whereas with these models, it seems like we are trading away inference and even the ability to analyse the model behaviour in pursuit of better and better quality prediction. i think the work you are doing here to communicate that tradeoff is important. thanks for making this available for free.

[cuzman]

I am absolutely impressed by the way you express all the fundamentals, it's just simple and powerful. Your analogies and the way you present them are beautiful. Thank you so much for your time and effort. I'll show this to all of my friends who wants to have some ideas how AI and ML work.

[gopalakrishnans]

The YouTube logic will most likely recommend to all of my friends in India especially in the IT field. Most likely this video will hit 10, 000 views in another 3 months . This will work because YouTube recommendation logic will do it's job like a charm

[sergioluis]

This is wonderful. Had to pause the video because after the ML definition all the previous examples she gave were just the ideas to explain the best possible definition. Very smart and now I need to review everything but so far very entertained yes, many technical topics well explained but need to be digested. So far loving it 😍

[mnemonyss]

I just love your sense of humor, you are so full of personality ❤ thank you for using your talents so creatively 🎉

[minaskky]

Pure gold. I was actually looking for a course on AI to buy and then I found this one for free. Thoroughly enjoyed it !

[Ohallors]

An incredible communicator. I now feel I have a foundation to apply ML and AI to problems.