Guide to AI algorithms - MFML Part 4 

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 video is the last installment of our day-long workshop and introduces you to the inner workings of popular ML/AI algorithms:
Clustering and k-Means
Lazy learning and k-NN
Perceptron
Maximal Margin Classifier
Support Vector Classifier
Support Vector Machines
Decision Trees
Boosted Aggregation
Random Forests
Ensemble Models
Naive Bayes
Linear Regression
Logistic Regression
Neural Networks / Deep Learning
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!
Part 1 is available at bit.ly/mfml_part1
Part 2 is available at bit.ly/mfml_part2
Part 3 is available at bit.ly/mfml_part3
If you enjoyed the course, the best way to say thank you is to share it. And 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:
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...

Наука