Overview
This course introduces machine learning concepts and techniques for coders. Students will learn the fundamentals of machine learning, including different algorithms and their applications. The course covers topics such as data preprocessing, model training, and evaluation. By the end of the course, students will be able to build and deploy machine learning models using popular tools and libraries. The teaching method includes video lessons, hands-on coding exercises, and real-world projects. This course is designed for coders and programmers who want to add machine learning skills to their toolkit.
Syllabus
Intro to Machine Learning: Lesson 1.
Intro to Machine Learning: Lesson 2.
Intro to Machine Learning: Lesson 3.
Intro to Machine Learning: Lesson 4.
Intro to Machine Learning: Lesson 5.
Intro to Machine Learning: Lesson 6.
Intro to Machine Learning: Lesson 7.
Machine Learning 1: Lesson 8.
Machine Learning 1: Lesson 9.
Machine Learning 1: Lesson 10.
Machine Learning 1: Lesson 11.
Machine Learning 1: Lesson 12.
Taught by
Jeremy Howard