Last updated 08/2020Duration: 1h 10m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 462 MBGenre: eLearning | Language: English[Auto]

Learn what machine learning is all about in this bner-level entry course

What you'll learn

Machine Learning

Applications of Machine Learning

Basics of Python in the Context of Data Science

Linear Regression

Logistic Regression

Neural Networks

Debugging a Faulty Algorithm

Regularization

Requirements

Pre-Calculus

Basic Understanding of Programming Languages & Computer Science

Python

Description

This is the first of a series of courses dedicated to teaching students with an understanding of basic computer science concepts and little to no pre-existing knowledge of machine learning. Specifically, "Machine Learning Simplified" targets individuals who can't afford an expensive machine learning course and do not have the extensive pre-requisites the majority of courses require. Why learn machine learning? Artificial intelligence has already established itself as the future of modern society. Experts predict that up to 20 million jobs will be lost to AI by 2030. Therefore, to stay competitive in the constantly chag labor force, it's critical to keep up with new technology. Machine learning, one of the biggest sectors of artificial intelligence, has shown to be a promising, newly emeg field in the tech industry. After completing this course and the rest of the courses in the series, you will have an in-depth understanding of machine learning.

Who this course is for

High school students with limited computer science knowledge

Individuals interested in machine learning but don't have the extensive pre-requisites other courses require

Students who can't afford the expensive machine learning certification courses