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  1. Home
  2. Learning Paths

Machine Learning Learning Path

Machine Learning is a Specialization designed by Coursera. It consists of three courses and can be completed in two months with 8 hours of learning content .

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Description

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.

This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

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Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
Stanford University
DeepLearning.AI
Free
1. Supervised Machine Learning: Regression and Classification
Andrew Ng

33 hours

Beginner
Classification Data Modeling Feature Engineering Machine Learning Regression
Coursera
Stanford University
DeepLearning.AI
Free
2. Advanced Learning Algorithms
Andrew Ng

30 hours

Beginner
Python Tensorflow Algorithms Classification Data Modeling Decision Trees Functions
Coursera
Stanford University
DeepLearning.AI
Free
3. Unsupervised Learning, Recommenders, Reinforcement Learning
Andrew Ng

30 hours

Beginner
Machine Learning Unsupervised Learning
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