EP4: AI for Dummies - Part 1 (Podcast Version)

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This is a standalone audio version of the article: AI for Dummies (Part 1).

AI for Dummies (Part 1)

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Highlights:

• The motif here is to use GIFs instead of complex equations and code.

• We cover basic concepts of machine learning: Classifications, Regressions (aka. Predictions), Clustering, Reinforcement Learning.

• Once we understand the basics, we can dive into more advanced concepts as Generative Models, Natural Language Processing, Computer Vision.

• You already using AI without knowing it, every time you are using Netflix, Amazon, writing a message in your phone.

• Some of the solutions based on AI are about creating new abilities, but some solutions are about making things in big scale. Very big scale. (does anyone remember how accountant worked before having a PC and Excel? or going to the library to look for articles?)

• By the end of the article you can experiment yourself in building an AI model for free in no time, no coding skills required.

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From the article:

Classifications:

Regression (Predictions)

Why prediction is nice, but doesn’t always make sense

Clustering:

Reinforcement Learning:

Generative Models:

2 dogs playing soccer, generated by DALL-E, Van Gogh style

Natural Language Processing (NLP):

There are more great stuff to read and watch at the original article

AI for Dummies (Part 1)

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by Lior Rosenspitz, January 2025.