Machine Learning for All

Description

In this course, you will learn :

• You will have a basic understanding of how modern machine learning technologies work.
• You will be able to explain and predict how data influences machine learning results. 
• You will be able to train a machine learning module using a dataset using a non-programming platform.
• You will be able to form an informed opinion on the societal benefits and risks of machine learning.

Syllabus :

1. Machine learning

• Introduction: Computers that see
• Artificial intelligence
• Machine learning
• Machine learning algorithms
• Interview with Machine Learning Experts

 

2. Data Features

• The bit
• Bytes and numbers
• Other types of data
• Introduction to Data Features
• Data features
• Neural networks

 

3. Machine Learning in Practice

• Introduction to Machine Learning in practice
• Testing
• Problems with machine learning
• Applications of machine learning
• Dangers of machine learning
• Interview: Benefits and Dangers of Machine Learning

 

4. Your Machine Learning Project

• Introduction: Collecting your own dataset
• Collecting a dataset
• Interview: Advice for your first Machine Learning Project

 

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