Machine learning courses can help you learn data preprocessing, supervised and unsupervised learning, and model evaluation techniques. Compare course options to find what fits your goals. …

Compared to the more advanced Deep Learning Specialization, the new Machine Learning Specialization covers topics such as unsupervised learning, recommender systems, tree-based …

By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems.

This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and …

This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting.

This Course Machine Learning offers a comprehensive, hands-on introduction to building and deploying machine learning models using Python. It is designed for learners with a foundational understanding …

The course begins with an introduction to machine learning, covering its history, terminology, and types of algorithms. You'll explore how data influences model outcomes and gain insights into common …

Learn machine learning basics and explore how models are built and applied in a free introductory course. Enroll for free.

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine …

In this course, you will: a) understand the basic concepts of machine learning. b) understand a typical memory-based method, the K nearest neighbor method. c) understand linear regression. d) …