Machine Learning Andrew Ng, Stanford University [FULL COURSE]

( 0 Reviews )

Created by: Andrew Ng

Produced in 2016

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 0 / 100

Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a artificial intelligence course? Or looking for more detail on Andrew Ng's Machine Learning Andrew Ng, Stanford University [FULL COURSE]? Feel free to chat below.

Join CourseDuck's Online Learning Discord Community

Course Description

In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Beginner Level

Time: 19h

Instructor Details

Andrew Ng

0.0 Rating
0 Reviews

Andrew Yan-Tak Ng is a Chinese-American computer scientist, global leader in AI, inventor, business executive, investor and entrepreneur of the Silicon Valley who has made major contributions to artificial intelligence, deep learning, robotics, and machine learning.