Stemplicty's mission is to make quality education on Science, Technology, Engineering, and Math (STEM) accessible and affordable to everyone.
Stemplicity offers many topics such as Artificial Intelligence, Machine Learning, Computer Vision and Programming.
Stemplicity is led by Ryan Ahmed who holds a Ph.D. degree in Engineering from McMaster University, with focus on Mechatronics and Electric Vehicle (EV) control.
Ryan also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.
Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada.
Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 330,000+ students globally.
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It gave a clear explanation for me
Amazing of how you explain! Thanks
like it ❤
great ❤❤❤
Thanks Prof, exactly what I needed
Shouldnt you be drawing a circle instead of an oval when finding the nearest neighbors? I like your videos, great simple explanations topics.
very good video
Amazing explanation..
really really amazing sir
this is so easy to understand. Thank you so much !
Thank you so much! You've explained this so clearly! I'm very new to ML and this has helped me so much!
ty sir for your videos.
What happens when we have features like age (min - 20, max - 60) and salary (min - 40,000, max - 300,0000). Won't our KNN algorithm cause all distance based models to be biased and give more weight to features with higher values? Salary in this case. Won't this effect be eliminated by scaling the features?
Thank you! Everything is clear now
Thank you very much for the video. Can I create my own new features and do my own feature selection?
Can you update an existing course with ChatGPT?
Thank you
EXCELLENT!!!
Perfect explanation. Thanks
just watched in my class. perfect.
You are an excellent teacher, MashaAllah. Thank you.
You really deserve it Dr. I just found your channel and subscribed to it. Congratulations 🎉
I feel very stupid because I see what we should use but not WHY :(
King !!! very good explantation. I watched multiple videos on yt and i asked Chatgpt many questions but now after your video i finally understand it <3
Very nice and straight to forward thanks ❤❤❤
دكتور ريان بعد اذنك محتاجه اعرف إيه الكورسات اللي أخدها في AI تساعدني ابتدي بيزنيس خاص بيا في مصر ميرسي مقدماً للتعاون
Amazing video
Good Video, thanks
Have any benchmarks been done with code before and after applying ChatGPT optimizations?
Resnet 19 is working way better for my purposes than anything else I've tried
clear as a crystal, thankyou
Really a pristine work, in explaining the ideas behind the concept. I found it really useful for having an overview look before dealing with all the math behind. Thanks
Unfortunately this video does everything but explain the core concepts behind RESNET.
Just came from a KMeans clustering course that demonstrates how normalization results in better clusters. But at 11:40, you say KMeans clustering doesn't require standardization or normalization. I'm confused.
top explanation along with code, can you upload the notebook file with each video u explain . thanks
The best ever. Thanks
thank u so much
Thank you so much!!!this video helped me find the error and now the sliceк works with the map ;)
You might be working on an older version of Power BI. Power BI does NOT include the 'don't summarize' option for variables, even if continuous.
thanks 🙂
the outlier thing is so crucial actually damn, i havent seen this is in a machine learning course before, banger
thank you boss man, just used normalization instead of standardization, life saver
After searching 2 days , Finally I learned GB algorithms. Thank you so much
Awesome video! 👌
You look cool and your content is impressive
Thank You Leonard Hofstadder..🙂
Hahaha thanks ❤️😂
Wonderful explanation
This professor is so pleasant for all senses. Thanks for sharing knowledge selflessly :)
worst explanation!
Thank you so much, I watched a lot of videos and read various articles on the manner, and this is the best, most clear video for me yet.