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Machine Learning with Python A Mathematical Perspective
Language: English | Size:7.15 GB
Genre:eLearning

Files Included :

1  Introduction and Configuration.mp4 (227.04 MB)
MP4
10  Perceptron Training Prediction.mp4 (284.53 MB)
MP4
11  Perceptron Decision Boundaries.mp4 (426.4 MB)
MP4
12  Adaptive linear neurons and the  convergence of learning.mp4 (245.14 MB)
MP4
13  Adaptive linear neurons and the  convergence of learning.mp4 (347.45 MB)
MP4
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)
MP4
4  Unsupervised Machine Learning Reinforcement Learning.mp4 (151.48 MB)
MP4
5  Introduction to the basic terminology, notations and roadmap.mp4 (231.14 MB)
MP4
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)
MP4

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Machine Learning with Python A Mathematical Perspective.z01

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Machine Learning with Python A Mathematical Perspective.z07

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Machine Learning with Python A Mathematical Perspective.zip

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Machine Learning with Python A Mathematical Perspective.z01

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Machine Learning with Python A Mathematical Perspective.z02

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Machine Learning with Python A Mathematical Perspective.z03

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Machine Learning with Python A Mathematical Perspective.z04

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Machine Learning with Python A Mathematical Perspective.z05

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Machine Learning with Python A Mathematical Perspective.zip

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