TranslatedPersonal notes on Professor Andrew Ng's machine learning course
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- machine-learning
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TranslatedPersonal notes on Professor Andrew Ng's machine learning course
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Translateddeeplearning.ai (course notes and resources for Teacher Andrew Ng's deep learning courses)
Translated:heart: University of Science and Technology of China course resources
TranslatedMy research experience
How to improve NGINX performance, security, and other important things.
:memo: Today I Learned
TranslatedReading the Spring source code
Translated✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field (冰霜之地, "Land of Frost"): notes on source code analysis, system design, and engineering practice
Enjoy Learning.
A description of React's new core algorithm, React Fiber
Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
Translated:octocat: Vue.js source code analysis
Research on Coding Agents
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
Translated:anchor: A collection of reading notes from my career as a game programmer. You can think of it as an enhanced blog. It covers graphics, real-time rendering, programming practice, GPU programming, design patterns, software engineering, and more. Keep Reading , Keep Writing , Keep Coding.
TranslatedCovers the core concepts and key features of the Spring framework, including the use of the Inversion of Control (IOC) container, the principles and practice of Aspect-Oriented Programming (AOP), the approaches and implementation of transaction management, the flow of Spring MVC and how controllers work, as well as in-depth study of data access, security, Boot auto-configuration and other areas in Spring. In addition, it includes the application of the Spring event mechanism, advanced topics such as cache abstraction and reactive programming, and an in-depth exploration of the programming style and design patterns of the Spring source code.
TranslatedAlgorithm learning notes
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
TranslatedZhou Zhihua's "Machine Learning", also known as the Watermelon Book, is a fairly comprehensive book that introduces in detail different types of algorithms in the field of machine learning (for example: supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, ensemble learning, dimensionality reduction, feature selection, etc.). It records my own line of understanding and extended knowledge points from my learning process, and I hope it helps newcomers reading the Watermelon Book!
My learning notes for ML SYS.
TranslatedA complete react + redux project and personal summary