Machine Learning Stanford (Coursera)

taught by Andrew Ng

Intro

"Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome."

Topics included in the course :

• Supervised learning : parametric/non-parametric algorithms, support vector machines, kernels, neural networks.
• Unsupervised learning : clustering, dimensionality reduction, recommender systems, deep learning.
• Best practices in machine learning : bias/variance theory, innovation process in machine learning and AI.
• Case studies and applications : smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, ...

Content

• Lecture Slides
• Programming projects

Certificate

My certificate : https://www.coursera.org/account/accomplishments/certificate/WW9EVBF2YG4A

References

Machine Learning - Stanford : https://www.coursera.org/learn/machine-learning