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Advanced Statistics for Machine Learning

Video Description

Building various machine learning models using Python and R

About This Video

  • Implement statistical computations programmatically for unsupervised learning through K-means clustering
  • Apply the ANN classifier on handwritten digits
  • Model Blackjack example of Monte Carlo methods using Python
  • Execute the Cliff walking example of on-policy and off-policy of Temporal Difference control

In Detail

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement.

This video will teach you all it takes to perform the complex statistical computations required for Machine Learning. You will gain information on statistics behind unsupervised learning, reinforcement learning, and more. You'll master real-world examples that discuss the statistical side of Machine Learning.

In this video, you will acquire a deep knowledge of the various models of unsupervised and reinforcement learning, and explore the fundamentals of deep learning with the help of the Keras software. Furthermore, you'll gain an overview of reinforcement learning with the Python programming language.