Introduction to ML and AI - MFML Part 1

This is Gold.

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

🆒 Cassie 😊 you beautifully explained it... ❤

You look like Kathy Griffin

How can I download the presentation?

I cant much more understand in english what can I do

Please gives a solution 🙏🙏

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.

Wow, Vadim must be proud of you. Vadim moet baie trots wees met jou. 😊

I'm really very confused. When you created your wine bottle chooser recipe, you plotted out your real life data of preferences after an undoubtedly memorial evening. Then you drew a line to separate "yes" from "no". So whatever relationship between your wine critic opinions and wine age that this line describes, there is your decision maker. I don't see where there is a "black box" of algorithms. You"decided where to put that thing" based on your visual inspection of your plot. Just don't get it!

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.

😂❤

Great presentation !

Really enjoyed watching the course. Great Job!

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

Thanks!

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.

Hi Cassie, would it be possible for the videos to be downloaded? I would love to view it offline.

Is she a product of artificial intelligence herself?

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.

The presenter looks like performing a salsa dance!

How do videos for “How to be a self taught programmer” have millions of views and yet this video BY Google has under 150k

@datascientific Hey Cassie, thanks for this class!

In the parking lot scenario, would would the better question be to ask our system of not “if the space is empty or full”?

AI = Brute Forcing

Good explanation for machine learning problem solving, great job Cassie

The best I've seen so far, amazingGGG!

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 😍

Hey Cassie, Such a wonderful video. Thanks a ton again for making it available for public. I am watching it for third time :) coz i keep understanding more every time. One request if you could make it happen - there are irritating videos which keep popping in between, not sure if you can remove it. Thanks Again, Appreciate the super good content and your calm way of explaining concepts.

An amazing way to represent how Machine Learning Works and its entire description. Thanks for wondeful explanation!!! Amazing

Love the presentation; with thanks

One question: how AI will decide if the data is based on two opposite examples, such as the example of the Ethics of Kant (Deontological Ethics: shall say the truth always) and the Ethics of Benjamin Constant (Consequentialist Ethics: the truth only according to the consequence)?

"AI succeeds at very complicated tasks that programmers can't write instructions for by hand"

Amazing intro lecture love it！

I am really attracted to and motivated by your way of presentation, teaching, and making people see what is taken as hard become easy. You are amazing, Thanks for this talk.

Your elucidation skills are top notch.

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.

I have always loved my Math teachers and you are in that list. Cant thank you more!

Is this course uploaded anywhere else?

your content is amazing and simple, appreciated

Great content, Cassie, a must see for all managers. Are the slides available?

Hope one day I'll work in your department;)

Love the approach of taking a complex topic and doing this for dummies version. Moving on to the next lecture … thank you for making these available for the wider world

Awesome.

Cassie,
This is great. I am excited to watch it.
Congrats on your new domain. Best, Mary.

Loved your analogies, again well done!

I’m curious, how can we ‘improve’ our decision intelligence? You mentioned how that reliable workers (AI or ML) can scale up stupidity as well as intelligence, I really think that if I continue diving in this field I’m going to see exasperated people whom I thought I was going to impress with my answers lol.

How do u suggest we improve at being better at decision intelligence?