Regression in Angular using TensorFlow. js
Develop essential data science & ai skills with expert instruction and practical examples.
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Feature: this course uses an AI-assistant that you will support all the time. It is a talking assistant, you make your questions and it will reply back, a good conversation. You do not neet to buy the course to see how the assistant works.
=Data Science is all about finding information/knowledge from datasets. One very powerful approach is using linear/nonlinear models, called regression; we are not going to see logistic regression on this course, see my other course "Machine learning in Angular". Linear models, the example we are going to work on, even though they are limited, they still can delivery something if the datasets have a linear tendency.
In TensorFlow. js, shifting to nonlinear models is as easy as changing a single parameter; that is all. TensorFlow.
js makes it possible to build simple models to complex ones (e. g. , deep learning) using the same notation, it is magic.
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