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01 Introduction and Review/001 Introduction and Outline.mp4 8.0 MB
01 Introduction and Review/002 Review of Important Concepts.mp4 6.3 MB
01 Introduction and Review/003 Where to get the Code and Data.mp4 4.0 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB
02 K-Nearest Neighbor/008 KNN for the XOR Problem.mp4 4.5 MB
02 K-Nearest Neighbor/009 KNN for the Donut Problem.mp4 5.7 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4 6.1 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4 7.7 MB
03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4 4.7 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
03 Naive Bayes and Bayes Classifiers/016 Generative vs Discriminative Models.mp4 5.4 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
04 Decision Trees/018 Information Entropy.mp4 7.3 MB
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04 Decision Trees/020 Choosing the Best Split.mp4 7.0 MB
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01 Start Here/quizzes/001 Easy first quiz.html 2.5 kB
01 Start Here/001 Introduction and Outline.mp4 7.9 MB
01 Start Here/002 How to Succeed in this Course.mp4 9.2 MB
01 Start Here/003 Review of the classification problem.mp4 3.1 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4 15.5 MB
02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4 7.9 MB
02 Basics What is linear classification Whats the relation to neural networks/006 Biological inspiration - the neuron.mp4 4.4 MB
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03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 10.5 MB
03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4 6.7 MB
03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4 4.7 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 9.5 MB
03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 5.5 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4 13.3 MB
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01 Introduction and Outline/002 Where to get the code for this course.mp4 2.1 MB
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02 Bayes Rule and Probability Review/004 Bayes Rule Review.mp4 15.4 MB
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01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
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02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
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02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
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02 Numpy/009 More Matrix Operations.mp4 13.2 MB
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03 Pandas/012 Manual Data Loading.mp4 9.5 MB
03 Pandas/013 DataFrames.mp4 7.5 MB
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