Google China launches machine learning self-paced course

Since Google announced the launch of the Chinese market, it has become more and more difficult for domestic partners to access Google. However, have you noticed that in recent years the sub-sites of GOOGLE.CN have gradually become accessible.

Up to now, there are several google.cn websites that can be accessed smoothly:

 

Google China developers developers.google.cn

 

 
 

 

Android developer

 

 
图1:谷歌中国推出了机器学习自学课程

 

Firebase (a hanger company acquired by google in 2014, helps to quickly develop and build mobile APP firebase.google.cn

 

 
图2:谷歌中国推出了机器学习自学课程

 

 

Google's machine learning course debuts

As the current hot knowledge, maybe only blockchain is hotter than machine learning.

 

 
图3:谷歌中国推出了机器学习自学课程

 


Recently, Google launched a machine learning crash course on the Chinese developer page (the second site mentioned above). The course consists of Google researchers and a series of video lectures, case studies, and practice. It can be said that it is a great gift for students who are interested in self-learning machine learning.

For students who are unable to get started, this set of tutorials can help you solve the following problems:

  1. How is machine learning different from traditional programming?
  2. What is a loss and how is it measured?
  3. How does gradient descent work?
  4. How can I tell if my model is valid?
  5. How do I provide my data for machine learning?
  6. How to build a deep neural network?

Plus, includes more than 40 exercises 25 lessons totaling 15 hours Lectures from Google researchers Practical case studies Interactive visualizations of algorithms in action

 

 
图4:谷歌中国推出了机器学习自学课程

 

To learn the prerequisites for this tutorial, you only need two:

Master introductory algebra

You should understand variables and coefficients, linear equations, function plots, and histograms

Good knowledge and some experience coding in Python

The programming exercises in the Machine Learning Crash Course are coded in Python using TensorFlow. You don't need to have any experience with TensorFlow, but you should be proficient at reading and writing Python code that includes basic programming constructs such as function definitions/calls, lists and dictionaries, loops, and conditional expressions.

 

 
图5:谷歌中国推出了机器学习自学课程

 

这个站点的访问地址是:https://developers.google.cn/machine-learning/

 

 

http://www.techug.com/post/google-china-machine-learning-crash-course.html

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