Machine Learning Essentials
Seize the opportunity to learn the Basics of Machine Learning from our free course. Comprehend concepts like supervised and unsupervised Machine Learning, linear regression, Pearson's coefficient, and coefficient of determinant.
Ratings
Level
Learning hours
Learners
Skills you will learn
About this course
This free course starts by providing a brief introduction to Machine Learning. You will understand the purpose of its algorithms and go through its industry use cases. Further, you will learn about the mathematical space where Machine Learning occurs. You will then move on to the critical concepts like supervised Machine Learning, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will look through a case study to understand these concepts better. Enroll in this free Basics of Machine Learning course and complete the quiz at the end to earn a certificate.
Ready to develop a career in Machine Learning? MIT's Machine Learning course is all up for helping you reach your career goals. Enroll in this appreciated professional program and achieve a certificate that attests to your skills.
What our learners enjoyed the most
Curriculum
60% of our learners found our curriculum helpful
Skill & tools
60% of learners found all the desired skills & tools
Topic depth
80% of learners liked the in-depth coverage of topics
Become a Skilled Professional with Pro Courses
Gain work-ready skills with guided projects, top faculty and AI tools, all at an affordable price.
PRO
.png)
.png)
.png)
.png)
.png)
 (1).jpg)
 (1).png)
.png)
.jpg)
Recommended Free Machine Learning courses
FREE
FREE
FREE
FREE
Similar courses you might like
FREE
FREE
FREE
FREE
Related Machine Learning Courses
-
Johns Hopkins University
Certificate Program in AI Business Strategy10 weeks · Online
Know More
-
Walsh College
MS in Artificial Intelligence & Machine Learning2 Years · Online
Know More
-
MIT Professional Education
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
