📺 Discover the latest machine learning / AI courses on YouTube. - dair-ai/ML-YouTube-Courses

Here is a set of notes used by Paul Dawkins to teach his Calculus I course at Lamar University. Included are detailed discussions of Limits (Properties, Computing, One-sided, Limits at Infinity, Continuity), Derivatives (Basic Formulas, Product/Quotient/Chain…

:books: Freely available programming books. Contribute to EbookFoundation/free-programming-books development by creating an account on GitHub.

And the winner is …

Lecture 1 gives an introduction to the field of computer vision, discussing its history and key challenges. We emphasize that computer vision encompasses a wide variety of different tasks, and that despite the recent successes of deep learning we are still…

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.
For a brush up on Neural Networks…

Na oitava edição do Workshop de Cosmologia e Astrofisica da UNIFESP
Além de diversos temas da área, esta edição destaca a Era dos grandes telescópios e ciências de dados e 100 anos do modelo cosmológico de Friedmann

O evento será realizado nos dias 21 e…

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it…

🧮 A collection of resources to learn mathematics for machine learning - dair-ai/Mathematics-for-ML

500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

Dynamical systems theory provides a unifying framework for studying how systems as disparate as the climate and the behaviour of humans change over time. In this blog post, I provide an introduction to some of its core concepts. Since the study of dynamical…

I'm so excited to introduce modeltime, a new time series forecasting package designed to integrate tidymodels machine learning packages into a streamlined workflow for tidyverse forecasting.

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

Learn to use machine learning in Python in this introductory course on artificial intelligence.