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
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 changing 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 emerging 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.
