Mr. Ng’s machine learning course can be said to be the first and most popular introductory course of machine learning. I opened source Mr. Ng’s personal notes on machine learning on Github and reproduced the course work with Python, which became a popular project with a star number of 11,671 +. There have been relevant reports and articles. Science has no national boundaries, but scientists have national boundaries. As a result, github download speed is slow, and it is difficult for domestic users to download resources on Github. Therefore, I will pack my Github warehouse into image files and put them on Baidu Cloud for download, which can be saved in 5 seconds. (Huang Haiguang)
Course description
www.coursera.org/learn/machi…
This course is taught by Mr. Enda Ng. It can be said that it is the most popular course for beginners to get started with machine learning.
Making introduction
Github address (Star: 11671+) :
Github.com/fengdu78/Co…
This Github is a summary of resources for Ng’s machine learning course. The author, Huang Haiguang, once organized the translation of the video of this course, and donated the video subtitles to netease Cloud Classroom for free. Netease Cloud Classroom will polish the subtitles and open them to domestic users for free. The course address of netease Cloud Classroom is “Enda Ng Machine Learning”, and there is a note in the acknowledgments (the original subtitle of this course is provided by Dr. Haiguang Huang) : \
Study.163.com/course/intr…
Picture: warehouse screenshot \
**** Resource description \
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Docx directory:
Word version of notes, 295 pages, all formulas written by formula editor, can be copied and pasted.
Picture: Screenshot of notes \
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Markdown directory:
A Markdown version of the notes, with the formula set in martdown syntax, can be used for copying to papers or blogs.
Figure: Source code and renderings of Markdown notes \
Code:
The python code for this course (some of which was written by foreign students) is outdated because the original course work was written by Octave, so I have copied the course work using Python 3.6.
Figure: Python code implementation for course work
HTML directory:
HTML version of notes, converted from markdown files, easy to put on the website.
Images directory:
Note pictures, if using Markdown or HTML file to view, need to put this folder (word version does not need to put this folder)
PPT directory:
I have not modified the original courseware of the course.
SRT directory:
Chinese and English subtitles of the course can be played together with mp4 files
Mp4 files need to be downloaded from Baidu Cloud, you can use notepad or subtitle editing software to edit subtitles, improve together. Mp4 baidu cloud link:
Pan.baidu.com/s/1h8QjqBlO… Password: d3we, download and unzip)
PDF files:
Personal Notes on Machine Learning complete edition V5.4 -A4 print. PDF
Other notes:
Machine learning video download link
pan.baidu.com/s/1raoOPOg Password: 48m8, contains the video and subtitles, download and decompress, it is recommended to play the video using potPlayer, the same as mp4.
I recommend that you download the offline video if it is just for your personal study, although my translation is not polished, you can see what the author is saying. \
Video effect: \
The video is 960*540 in size. I suggest using PotPlayer and pulling the video window into the shape shown in the picture below, so that subtitles will not cover the video and it is easy to learn. \
Figure: With PotPlayer, you can pull the screen so that the subtitles do not cover the video \
Baidu Cloud download file description \
For some reason, domestic users access Github very slow, download resources often fail, so, for the convenience of readers, we put github content into image files to publish, for non-members can not save a large number of files at one time, I compressed all files into an ISO file, save can, only 5 seconds can save!
Document Description:
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Coursera-ML-AndrewNg-Notes.iso
Github.com/fengdu78/Co… Full site image (Machine learning Notes and resources)
Links:
Pan.baidu.com/s/1o7QxHTps…
Extraction code: 4N83
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machine-learning-2014.iso
Ng machine learning video with Chinese and English subtitles, MKV format, suggested to play with PotPlayer.
Links:
yun.baidu.com/s/1raoOPOg
The extracted code: 48 m8
Note: my other Github has also been made into a mirror download, and I will introduce each popular warehouse in succession in the near future.
Machine learning beginner
Dr. Huang haiguang’s personal public account, Dr. Huang Haiguang’s personal Zhihu has 21000+ followers, and Github ranks among the top 120 in the world (29000+). This public number is committed to the direction of artificial intelligence science articles, for beginners to provide learning routes and basic information. Original works include: Personal Notes on Machine learning, notes on deep learning, etc.
Past wonderful review \
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All those years of academic philanthropy. – You’re not alone
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Conscience recommendation: Introduction to machine learning information summary and learning recommendations \
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Github Image download by Dr Hoi Kwong (Machine learning and Deep Learning Notes and Resources)
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Machine Learning Cheat Sheet – (Understanding machine learning like reciting TOEFL Vocabulary) \
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Introduction to Deep Learning – Python Deep Learning, annotated version of the original code in Chinese and ebook
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Machine learning – “Statistical learning methods” python code implementation, ebook and courseware \
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Blockbuster | complete AI learning course, the most detailed resources arrangement! \
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Word2vec
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Machine learning related mathematical materials download