Learning to build nonlinear/linear regression models for datasets using machine learning in Typescript (applied math)
Sub Category
- Math
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Objectives
- Creating linear/nonlinear regression models in TensorFlowjs
- Basics of training a machine learning model
- Building smart apps in Angular
- Basics of linear/nonlinear regression
- How to use Angular for scientific computation based on machine learning
- Coding in TypeScript by example, basics, hands-on section
Pre Requisites
- I have tried to explain everything, but Angular knowledge may be advantageous, and a machine learning knowledge also may be useful.
- All the tools used are open access, free of charge. You just need a computer with web browser
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)