Hi, my name is Jack.
Guys, while browsing Github last night, I found a treasure on the trending list.
The project was open sourced on July 2, and in just a few days, it has gained more than 9,300 stars!
It's this project called ML-For-Beginners:
ML For Beginners
That's right, this is Microsoft's open source, a machine learning tutorial, step-by-step skyrocketing:
Even, a few days, madly grabbing 3000+ stars.
Such a hot project, of course, can't be missed, I clicked in to check it out.
The tutorial is completely free, which is a boon for machine learning beginners.
A total of 24 lessons, MIT authorized courses.
There is no deep learning content in the course, only "classic machine learning" is involved, and the Scikit-learn library is mainly used for learning.
There are many practical contents in it, such as:
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Regression Algorithm: North American Pumpkin Price Prediction
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Classification Algorithm: Classification of Asian Cuisines
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Clustering Algorithms: Exploring Nigerian Musical Tastes
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NLP: European Hotel Reviews
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Time Series: Forecast of World Electricity Consumption
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Reinforcement Learning: Help Peter Avoid the Wolf
The content is quite rich, but it is only in English now .
However, rest assured, the course has been open source for less than a week, and the team has also uploaded the translation requirements .
English is good, you can participate in a wave, and then you can boldly say: "I am one of the large-scale project contributors to Microsoft's open source".
The tutorial has just been open-sourced, and the translation should follow soon. After all, this kind of function belongs to a relatively large-scale project, and there are still many enthusiastic friends in China.
You can go to Mark first:
https://github.com/microsoft/ML-For-Beginners
This open source tutorial can also study in teams and complete assignments in teams.
If you want to watch Chinese machine learning tutorials now, then Po Wang sells melons and brags about it, look at mine:
After all, it is also an open source tutorial with 4300+ stars.
https://github.com/Jack-Cherish/Machine-Learning
Oh, by the way, Microsoft also plans to open source an AI for Beginners later, it is estimated that it is a tutorial such as deep learning, you can continue to pay attention.
Finally, I will send you a copy to help me get the data structure of BAT and other first-tier manufacturers . It was written by a Google master, and it is very useful for students who have weak algorithms or need to improve:
Google and Ali's Leetcode brushing notes
As well as the BAT algorithm engineer learning route, books + videos , complete learning routes and instructions that I have compiled , it will definitely help those who want to become algorithm engineers:
How I became an algorithm engineer, super detailed learning path
I'm Jack, see you next time!