TranslatedPersonal notes on Professor Andrew Ng's machine learning course
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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]
TranslatedHealthy learning until age 150 - An incomplete guide to tuning the human system
How to improve NGINX performance, security, and other important things.
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
I am trying to describe complex matters in simple doodles!
TranslatedStudy snippets on Github
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
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!
Translatedvue source code line by line annotation analysis + vue source code process flow chart mind map over 40 MB in size
TranslatedChinese Python notes
🎓 Sharing machine learning course / lecture notes.
TranslatedA large collection of technical blog notes, including Java basics, threads, concurrency, and data structures; Android technical blogs and more; common design patterns; common algorithms; network protocol knowledge points; some Flutter notes; also a summary of bugs encountered in everyday development, and of course a large number of interview questions collected in spare time from work, long-term updated, maintained and corrected, and continuously improved... The open-source files are in markdown format! Please credit the source when reposting, thank you!
TranslatedStatistical learning methods, Statistical Learning Methods (2nd edition) [Li Hang] [notes, code, notebook, references, Errata, lihang]
TranslatedA security knowledge framework maintained by the ffffffff0x team, with content including but not limited to web security, industrial control security, forensics, incident response, blue team infrastructure deployment, post-exploitation, Linux security, and writeups for various vulnerable machines
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
This repository contains study materials for the **Claude Certified Architect — Foundations** certification.
If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.
Dive into CPython internals, trying to illustrate every detail of CPython implementation
Translated[Java Interview + Java Backend Technology Learning Guide]: An interview guide to your ideal internet company, covering Java, essential foundational knowledge for technical interviews, Leetcode, computer operating systems, computer networks, system design, distributed systems, databases (MySQL, Redis), Java project practice, and more
This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.
Red Teaming Tactics and Techniques