Machine Learning Coursera

Overview

The Machine Learning Specialization offered by Coursera in partnership with Stanford is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

Key facts:

• This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. 

• It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)

• 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. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

Skills you'll gain

• Machine Learning

• Machine Learning Algorithms

• Applied Machine Learning

• Algorithms

• Deep Learning

• Artificial Neural Networks

• Human Learning

• Python Programming

• Regression

• Mathematics

• Critical Thinking

• Network Model