AI Machine Learning
The machine learning course from Coursera provides a broad introduction to machine learning, data mining & statistical pattern recognition. Topics include: supervised learning including parametric and non-parametric algorithms, support vector machines, kernels, neural networks, as well as unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning along with best practices in machine learning including bias/variance theory; innovation process in machine learning and AI. The machine learning course will also draw from numerous case studies and applications, so that you’ll learn how to apply machine learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas of machine learning.Read more
AI is going to make our lives better in the future.
Mark Zuckerberg – Facebook founder and CEO
machine learning and artificial intelligence is extremely important and will revolutionize many vertical industries.
John Giannandrea – senior vp engineering at Google
AI IS ON THE VERGE OF MAKING OUR LIVES MORE PRODUCTIVE AND CREATIVE.
Bill Gates – Microsoft co-founder