12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Learn how to develop, deploy and iterate on production-grade ML applications.
TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
deep learning for image processing including classification and object-detection etc.
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Oxford Deep NLP 2017 course
Source code for Hacker101.com - a free online web and mobile security class.
AI education materials for Chinese students, teachers and IT professionals.
YSDA course in Natural Language Processing
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A collection of machine learning examples and tutorials.
the CS missing semester Chinese version
The Missing Semester of Your CS Education 📚
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2026/2025)
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Step by step to build Android apps using Android Studio
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Open Machine Learning course
Applied Deep Learning Course
Learn how to design, develop, deploy and iterate on production-grade ML applications.