Curated papers, articles, and blogs on data science & machine learning in production. contributions welcome

Code samples for the book "Applied Machine Learning and AI for Engineers" by Jeff Prosise. Feel free to use any of these samples in projects of your own.

This repository contains solutions of all assignments of University of Michigan's Applied Machine Learning with python course. Module 2 Quiz.pdf · week_4_Assignment.ipynb · Module 1 Quiz .pdf

This course covers the applied side of algorithmics in machine learning, with some deep learning and evolutionary algorithms thrown in as well.

Applied Machine Learning · Understanding Machine Learning: From Theory to Algorithms, by Shai Shalev-Shwartz and Shai Ben-David · Pattern Recognition and ...

The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python, PowerBI and R. It is a Work in progress.

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.

This module covers evaluation and model selection methods that it can be used to help understand and optimize the performance of your machine learning models.

This repo contains executable course notes and slides for the Applied ML course at Cornell and Cornell Tech (Fall 2024 edition).

This course provides an overview of key algorithms and concepts in machine learning, with a focus on applications.