Google official has just released a crash course for machine learning! The content covers machine learning related concepts and machine learning engineering knowledge, the first day of March! Enter the world of machine learning together! Let's take a look at the related content with the network communication editor. Let's go.
Heavy! Google released a crash course for machine learning! ! !
Machine Learning Crash Course (MLCC). The course evolved from an internal course at Google that was originally designed to help Google employees have a hands-on understanding of the basics of AI and ML, with 18,000 employees enrolled. Now, Google is offering MLCC to everyone through the "Learn with Google AI" website, providing exercises, interactive visualizations, and instructional videos to help teach machine learning concepts.
The course is approximately 15 hours and includes interactive courses, lectures by Google researchers, and more than 40 exercises. It is designed for newcomers without any machine learning experience, although Google does recommend readers to master entry-level algebra, proficient in programming fundamentals and Python programs. MLCC is also the first of Google's plans to build a learning center and offers a wide range of courses and resources, with more courses and resources coming soon.
Heavy! Google released a crash course for machine learning! ! !
Let's take a look at the course catalog:
Machine learning concept:
Introduction to Machine Learning (3 minutes)
Frame processing (15 minutes)
Learn more about machine learning (20 minutes)
Reduce losses (60 minutes)
Basic steps to use TF (60 minutes)
Generalization (15 minutes)
Training set and test set (25 minutes)
Verification (40 minutes)
Representation (65 minutes)
Feature combination (70 minutes)
Regularization: simplicity (40 minutes)
Logistic regression (20 minutes)
Classification (90 minutes)
Regularization: sparsity (40 minutes)
Introduction to Neural Networks (55 minutes)
Train the neural network (40 minutes)
Multi-category neural network (50 minutes)
Embed (80 minutes)
Machine learning engineering:
Production environment machine learning system (3 minutes)
Static training and dynamic training (7 minutes)
Static reasoning and dynamic reasoning (7 minutes)
Relationship since data (14 minutes)
Machine Learning Real World Application Example:
Cancer prediction (5 minutes)
18th Century Literature (5 minutes)
Real World Application Guidelines (2 minutes)
From the catalogue point of view, this is a machine learning course, especially the TensorFlow introductory course. Just like the English name of this course, Crash Course. The highlight of this course is that it provides a large number of supporting exercises and practice environments (ipython notebook), as well as a Chinese language, Chinese PPT, Chinese and English machine learning glossary.
Heavy! Google released a crash course for machine learning! ! !
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