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Chapter 1:Machine Learning Basics
Chapter 2: ReflectInsight – Real-Time Monitoring
Chapter 3:Bayes Intuition – Solving the Hit and Run Mystery and Performing Data Analysis
Chapter 4: Risk versus Reward – Reinforcement Learning
Chapter 5: Fuzzy Logic – Navigating the Obstacle Course
Chapter 6: Color Blending – Self-Organizing Maps and Elastic Neural Networks
Chapter 7: Facial and Motion Detection – Imaging Filters
Chapter 8: Encyclopedias and Neurons – Traveling Salesman Problem
Chapter 9: Should I Take the Job – Decision Trees in Action
Chapter 10: Deep Belief – Deep Networks and Dreaming
Chapter 11: Microbenchmarking and Activation Functions
Chapter 12: Intuitive Deep Learning in C# .NET
Chapter 13: Quantum Computing – The Future
CS 2750: Machine Learning Machine Learning Basics + Matlab ...kovashka/cs2750_sp16/kovashka_ml_02.… · Machine Learning Basics + Matlab Tutorial Prof. Adriana Kovashka ... Training
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Basics of Machine Learninghtlin/talk/doc/mlbasic.bdml.handout.pdf · Basics of Machine Learning from NTU-Coursera Free Mandarin-based Online Course “Machine Learning Foundations”
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