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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).Is Andrew's course on machine learning worth it?
The simple answer is NO. Andrew's course is one of the best foundational course for machine learning. The course is intended for those who want to start learning Machine Learning. The course doesn't teach much maths behind algorithms. It just gives you some formula and how you can implement them in octave or matlab.Which course led to the founding of Coursera?
Andrew Ng is Co-founder of Coursera, an and Adjunct Professor of Computer Science at Stanford University. His machine learning course is the MOOC that had led to the founding of Coursera!What are the topics in machine learning and Ai?
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).