machine-learning-systems-design
Machine learning systems design guide
A resource guide covering the four main steps of designing a machine learning system: project setup, data pipeline, modeling, and serving.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
9k stars
302 watching
1k forks
Language: HTML
last commit: over 1 year ago
Linked from 1 awesome list
data-sciencemachine-learning-productionmlops
Related projects:
Repository | Description | Stars |
---|---|---|
gokumohandas/made-with-ml | Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,603 |
zuzoovn/machine-learning-for-software-engineers | A structured study plan to help software developers learn machine learning and become a machine learning engineer | 28,167 |
khangich/machine-learning-interview | A comprehensive resource and study plan for preparing software developers to pass machine learning interview exams. | 9,764 |
alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,351 |
dotnet/machinelearning-samples | A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications. | 4,490 |
dotnet/machinelearning | A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,035 |
terrytangyuan/distributed-ml-patterns | Provides practical patterns and techniques for building scalable and reliable machine learning systems | 390 |
karanpratapsingh/system-design | A comprehensive guide to designing and building scalable systems for software developers | 32,878 |
huaizhengzhang/ai-system-school | A curated collection of research papers, articles, and resources on machine learning systems, including design principles, infrastructure, and best practices. | 2,690 |
microsoft/ml-for-beginners | A structured learning platform providing a comprehensive curriculum for beginners in machine learning and related data science topics | 69,811 |
mostafa-samir/how-machine-learning-works | An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook | 4 |
phdp/mlbop | The codebase provides MATLAB implementations of machine learning concepts from S. Theodoridis' book | 66 |
christophm/interpretable-ml-book | A comprehensive resource for explaining the decisions and behavior of machine learning models. | 4,794 |
dair-ai/ml-papers-explained | An explanation of key concepts and advancements in the field of Machine Learning | 7,315 |
iterative/cml | Automates machine learning workflows and generates reports on every pull request. | 4,038 |