Harvard has published 5 courses on AI No need to pay. Here are 5...

Eyisha Zyer@eyishazyer
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Jan 24, 2024
~1 min read
2
1. Introduction to AI with Python from CS50
Learn how to use machine learning in Python in this introductory AI course.
What you will learn:
- Graph search algorithms
- Reinforcement learning
- Machine learning
pll.harvard.edu/course/cs50s-i…
Learn how to use machine learning in Python in this introductory AI course.
What you will learn:
- Graph search algorithms
- Reinforcement learning
- Machine learning
pll.harvard.edu/course/cs50s-i…
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2. Data Science: Machine Learning
Build a movie recommendation system and learn data science techniques
Program:
- Machine Learning Fundamentals
- Perform cross validation to avoid overtraining
pll.harvard.edu/course/data-sc…
Build a movie recommendation system and learn data science techniques
Program:
- Machine Learning Fundamentals
- Perform cross validation to avoid overtraining
pll.harvard.edu/course/data-sc…
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3. TinyML Basics
Focused on the fundamentals of machine learning and embedded systems, such as smartphones.
What you will learn
- Machine Learning (ML) Fundamentals
- Deep Learning Fundamentals
And much more
pll.harvard.edu/course/fundame…
Focused on the fundamentals of machine learning and embedded systems, such as smartphones.
What you will learn
- Machine Learning (ML) Fundamentals
- Deep Learning Fundamentals
And much more
pll.harvard.edu/course/fundame…
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4. Data Science: Capstone
Demonstrate what you have learned in the Data Science Professional Certification Program.
Program:
- How to apply knowledge to a real world problem
- Work independently
pll.harvard.edu/course/data-sc…
Demonstrate what you have learned in the Data Science Professional Certification Program.
Program:
- How to apply knowledge to a real world problem
- Work independently
pll.harvard.edu/course/data-sc…
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5. High-dimensional data analysis
A focus on several techniques that are widely used in data analysis
Program :
- Math distance
- Dimensional Reduction
- Singular value decomposition and P component analysis
pll.harvard.edu/course/data-an…
A focus on several techniques that are widely used in data analysis
Program :
- Math distance
- Dimensional Reduction
- Singular value decomposition and P component analysis
pll.harvard.edu/course/data-an…
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