- What is Machine Learning?
- Types of Machine Learning
- Supervised Learning
- Best Fit Line
- Simple Linear Regression: Concept
- Ordinary Least Square(OLS)
- Gradient Descent: Mathematics Behind it
- Gradient Descent: Learning Rate
- Gradient Descent: Algorithm
This course is designed to understand basic Concept of Machine Learning. Anyone can opt for this course. No prior understanding of Machine Learning is required. Simple Linear Regression Concepts are covered in detail. Coding part is not covered, however wherever possible I have attached the code in the resources.
Now question is why this course?
This Course will not only teach you the basics of Machine learning and Simple Linear Regression. It will also cover in depth mathematical explanation of Cost function and use of Gradient Descent for Simple Linear Regression. Understanding these is must for a solid foundation before entering into Machine Learning World. This foundation will help you to understand all other algorithms and mathematics behind it.
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A total of 13 years of experience. I started my career as a programmer. Apart from programming, I have worked on Cloud & Virtualization technology, DevOps and Machine Learning. Also, I have very good knowledge of software design methodologies, information systems architecture, object oriented design, and software design patterns. Teaching is my passion. I hope you will enjoy my course.