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Trainer Name

Andrew Ng

Skill Area

Digital Technologies and Digital Transformation

Reviews

4.4 (6 Rating)

Course Requirements

Interest and/or prior knowledge on machine learning

Course Description

This course will provide a broad introduction to machine learning, datamining, and statistical pattern recognition

Course Outcomes

At the end , you will know how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).

Course Curriculum

1 Welcome to Machine Learning


1 Welcome


2 What is Machine Learning?


3 Supervised Learning


4 Unsupervised Learning


1 Model Representation


2 Cost Function


3 Cost Function Intuition 1


4 Cost Function Intuition 2


5 Cost Function Intuition 2


1 Gradient Descent


2 Gradient Descent Intuition


3 Gradient Descent for Linear Regression


Learner Feedback

Introduction to Machine Learning

4

Course Rating
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