machine-learning-for-software-engineers
Machine Learning Study Plan
A structured study plan to help software developers learn machine learning and become a machine learning engineer
A complete daily plan for studying to become a machine learning engineer.
28k stars
1k watching
6k forks
last commit: over 2 years agoLinked from 2 awesome lists
artificial-intelligencedeep-learningmachine-learningmachine-learning-algorithmssoftware-engineer
academic/awesome-datascience
christoschristofidis/awesome-deep-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 gokumohandas/made-with-ml | Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,816 |
 jwasham/coding-interview-university | A comprehensive study plan and resource collection for software engineers to prepare for technical interviews. | 307,893 |
 chiphuyen/machine-learning-systems-design | A resource guide covering the four main steps of designing a machine learning system: project setup, data pipeline, modeling, and serving. | 9,227 |
 khangich/machine-learning-interview | A comprehensive resource and study plan for preparing software developers to pass machine learning interview exams. | 9,949 |
 soulmachine/machine-learning-cheat-sheet | A collection of classical equations and diagrams on machine learning in LaTeX format | 7,520 |
 ckaestne/seai | Teaches software developers how to build, deploy, and maintain products with machine-learning models. | 385 |
 microsoft/ml-for-beginners | A structured curriculum teaching classic machine learning techniques using Python and Scikit-learn, with a focus on practical projects and hands-on exercises. | 70,139 |
 trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |
 mostafa-samir/how-machine-learning-works | An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook | 4 |
 alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,371 |
 dotnet/machinelearning | A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,071 |
 machinelearnjs/machinelearnjs | A lightweight Machine Learning library for JavaScript and Node.js providing easy-to-use APIs for various algorithms. | 541 |
 emoen/machine-learning-for-asset-managers | Implementation of code snippets and exercises from Machine Learning for Asset Managers, focusing on clustering, correlation, density, eigenvalue, and machine learning. | 495 |
 zlpure/machine-learning--coursera | A comprehensive solution to machine learning assignments on Coursera with MATLAB code | 55 |
 yining1023/machine-learning-for-the-web | An interactive machine learning project that teaches common high-level techniques and applies them to generate creative outputs in the browser. | 406 |