A Quick Introduction to Machine Learning
Start your machine learning journey with this quick introduction. Learn the fundamental concepts and algorithms used in ML, including supervised and unsupervised learning, data preprocessing, and model evaluation techniques.
At a Glance
Machine Learning, a foundational component of Artificial Intelligence, is often shrouded in mystery. This short course will demystify and explain the subject of Machine Learning. In just a few hours, you will be able to understand the concepts and the processes behind this revolutionary technology. Let this course take you into the forefront of the Machine Learning revolution!
By actively engaging with the course content, including video lectures, quizzes, and a hands-on lab, you will develop the skills and confidence necessary to effectively apply your newfound knowledge in Machine Learning.
Course Syllabus
Module 1
- Introduction to Machine Learning for Everyone
- Machine Learning Model Lifecycle
- A Day in the life of a Machine Learning Engineer
- Tools for Machine Learning
Module 2
- Supervised vs Unsupervised Learning
- Classification
- Regression
- Evaluating Machine Learning Models
- Hands-on Lab: Machine Learning in Python
Recommended Skills Prior to Taking this Course
- Basic knowledge of Python programming language is recommended but not required.
There are no reviews yet.