A summary of the 12 Steps of Machine Learning and AI:

1 Objective & criteria
2 Data collection
3 Data splitting
4 Exploration
5 Algorithms
6 Training
7 Tuning & debugging
8 Validation
9 Testing
10 Productionization
11 Launch decision
12 Monitoring & maintenance

Each step is explained in detail in Cassie Kozyrkov's Making Friends with Machine Learning course available for free at http://bit.ly/funaicourse

The course is designed to enlighten AI beginners, grow technology leaders, inform better citizens, and amuse AI experts. If you prefer to learn in bite-sized nibbles, you can find the individual chapters as short videos on the http://bit.ly/mf-ml playlist. The episode guide is in the top right hand corner of every video.

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

AutoML - https://console.cloud.google.com/?wal...
Vertex AI - https://bit.ly/kozvertex
AI notebooks - https://bit.ly/kozvertexnotebooks
ML for tabular data - https://bit.ly/kozvertextables
Text classification - https://bit.ly/kozvertextext
Image classification - https://bit.ly/kozverteximage
Video classification - https://bit.ly/kozvertexvideo