Machine Learning with Python A MaThematical Perspective

Files Included :

1 Introduction and Configuration.mp4 (227.04 MB)
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10 Perceptron Training Prediction.mp4 (284.53 MB)
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11 Perceptron Decision Boundaries.mp4 (426.4 MB)
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12 Adaptive linear neurons and the convergence of learning.mp4 (245.14 MB)
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13 Adaptive linear neurons and the convergence of learning.mp4 (347.45 MB)
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2 The three different types of machine learning.mp4 (277.95 MB)
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3 Supervised Machine Learning Classification and Regression.mp4 (273.01 MB)
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4 Unsupervised Machine Learning Reinforcement Learning.mp4 (151.48 MB)
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5 Introduction to the basic terminology, notations and roadmap.mp4 (231.14 MB)
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6 Training Simple Machine Learning Algorithms for Classification.mp4 (216.49 MB)
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7 Implementing a perception learning algorithm in Python.mp4 (118.51 MB)
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8 Implementing a perceptron learning algorithm in Python.mp4 (276.31 MB)
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9 Training a perceptron model on the Iris dataset.mp4 (271.8 MB)
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1 First steps with scikit-learn – training a perceptron.mp4 (381.64 MB)
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2 Modeling class probabilities via logistic regression.mp4 (205.59 MB)
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3 Maximum margin classification with support vector machines.mp4 (148.88 MB)
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4 Solving nonlinear problems using a kernel SVM.mp4 (151.75 MB)
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5 Decision tree learning.mp4 (179.12 MB)
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6 K-nearest neighbors – a lazy learning algorithm.mp4 (180.13 MB)
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1 Predicting Continuous Target Variables with Regression Analysis.mp4 (96.1 MB)
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2 Exploring the Housing dataset.mp4 (112.44 MB)
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3 Visualizing the important characteristics of a dataset.mp4 (187.56 MB)
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4 Implementing an ordinary least squares linear regression model.mp4 (194.3 MB)
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5 Estimating the coefficient of a regression model via scikit-learn.mp4 (60.74 MB)
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6 Fitting a robust regression model using RANSAC.mp4 (132.91 MB)
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7 Evaluating the performance of linear regression models.mp4 (228.82 MB)
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8 Using regularized methods for regression.mp4 (132.1 MB)
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9 Turning a linear regression model into a curve – polynomial regression.mp4 (183.51 MB)
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1 Dealing with nonlinear relationships using random forests.mp4 (179.33 MB)
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2 Working with Unlabeled Data – Clustering Analysis.mp4 (239.71 MB)
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3 Organizing clusters as a hierarchical tree.mp4 (205.47 MB)
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4 Locating regions of high density via DBSCAN.mp4 (144.52 MB)
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1 Modeling complex functions with artificial neural networks.mp4 (209.79 MB)
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2 Classifying handwritten digits.mp4 (82.09 MB)
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3 Training an artificial neural network.mp4 (194.31 MB)
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4 About the convergence in neural networks.mp4 (55.51 MB)
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5 Parallelizing Neural Network Training with TensorFlow.mp4 (89.3 MB)
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