| [CourseClub.NET] Coursera - Machine Learning/001.Welcome/001. Welcome to Machine Learning!.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/002.Introduction/002. Welcome.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/002.Introduction/003. What is Machine Learning.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/002.Introduction/004. Supervised Learning.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/002.Introduction/005. Unsupervised Learning.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/002.Introduction/005. Unsupervised Learning.srt |
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| [CourseClub.NET] Coursera - Machine Learning/003.Model and Cost Function/006. Model Representation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/003.Model and Cost Function/006. Model Representation.srt |
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| [CourseClub.NET] Coursera - Machine Learning/003.Model and Cost Function/007. Cost Function.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/003.Model and Cost Function/008. Cost Function - Intuition I.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/003.Model and Cost Function/009. Cost Function - Intuition II.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/004.Parameter Learning/010. Gradient Descent.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/004.Parameter Learning/011. Gradient Descent Intuition.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/004.Parameter Learning/012. Gradient Descent For Linear Regression.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/004.Parameter Learning/012. Gradient Descent For Linear Regression.srt |
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| [CourseClub.NET] Coursera - Machine Learning/005.Linear Algebra Review/013. Matrices and Vectors.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/005.Linear Algebra Review/014. Addition and Scalar Multiplication.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/005.Linear Algebra Review/015. Matrix Vector Multiplication.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/005.Linear Algebra Review/016. Matrix Matrix Multiplication.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/005.Linear Algebra Review/017. Matrix Multiplication Properties.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/005.Linear Algebra Review/018. Inverse and Transpose.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/006.Multivariate Linear Regression/019. Multiple Features.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/006.Multivariate Linear Regression/020. Gradient Descent for Multiple Variables.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/006.Multivariate Linear Regression/021. Gradient Descent in Practice I - Feature Scaling.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/006.Multivariate Linear Regression/023. Features and Polynomial Regression.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/006.Multivariate Linear Regression/023. Features and Polynomial Regression.srt |
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| [CourseClub.NET] Coursera - Machine Learning/007.Computing Parameters Analytically/024. Normal Equation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/007.Computing Parameters Analytically/025. Normal Equation Noninvertibility.srt |
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| [CourseClub.NET] Coursera - Machine Learning/008.Submitting Programming Assignments/026. Working on and Submitting Programming Assignments.mp4 |
9 MB |
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| [CourseClub.NET] Coursera - Machine Learning/009.Octave Matlab Tutorial/027. Basic Operations.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/009.Octave Matlab Tutorial/028. Moving Data Around.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/009.Octave Matlab Tutorial/029. Computing on Data.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/009.Octave Matlab Tutorial/030. Plotting Data.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/009.Octave Matlab Tutorial/031. Control Statements for, while, if statement.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/009.Octave Matlab Tutorial/032. Vectorization.mp4 |
22.3 MB |
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| [CourseClub.NET] Coursera - Machine Learning/010.Classification and Representation/033. Classification.mp4 |
11.3 MB |
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| [CourseClub.NET] Coursera - Machine Learning/010.Classification and Representation/034. Hypothesis Representation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/010.Classification and Representation/035. Decision Boundary.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/011.Logistic Regression Model/036. Cost Function.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/011.Logistic Regression Model/036. Cost Function.srt |
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| [CourseClub.NET] Coursera - Machine Learning/011.Logistic Regression Model/037. Simplified Cost Function and Gradient Descent.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/011.Logistic Regression Model/038. Advanced Optimization.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/012.Multiclass Classification/039. Multiclass Classification One-vs-all.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/013.Solving the Problem of Overfitting/040. The Problem of Overfitting.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/013.Solving the Problem of Overfitting/041. Cost Function.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/013.Solving the Problem of Overfitting/042. Regularized Linear Regression.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/013.Solving the Problem of Overfitting/043. Regularized Logistic Regression.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/013.Solving the Problem of Overfitting/043. Regularized Logistic Regression.srt |
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| [CourseClub.NET] Coursera - Machine Learning/014.Motivations/044. Non-linear Hypotheses.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/015.Neural Networks/046. Model Representation I.mp4 |
18 MB |
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| [CourseClub.NET] Coursera - Machine Learning/016.Applications/048. Examples and Intuitions I.mp4 |
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7 MB |
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| [CourseClub.NET] Coursera - Machine Learning/017.Cost Function and Backpropagation/051. Cost Function.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/017.Cost Function and Backpropagation/051. Cost Function.srt |
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| [CourseClub.NET] Coursera - Machine Learning/017.Cost Function and Backpropagation/052. Backpropagation Algorithm.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/017.Cost Function and Backpropagation/053. Backpropagation Intuition.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/018.Backpropagation in Practice/054. Implementation Note Unrolling Parameters.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/018.Backpropagation in Practice/056. Random Initialization.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/018.Backpropagation in Practice/057. Putting It Together.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/019.Application of Neural Networks/058. Autonomous Driving.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/021.Bias vs. Variance/062. Diagnosing Bias vs. Variance.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/021.Bias vs. Variance/063. Regularization and Bias Variance.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/021.Bias vs. Variance/064. Learning Curves.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/021.Bias vs. Variance/065. Deciding What to Do Next Revisited.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/022.Building a Spam Classifier/066. Prioritizing What to Work On.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/023.Handling Skewed Data/068. Error Metrics for Skewed Classes.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/023.Handling Skewed Data/069. Trading Off Precision and Recall.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/024.Using Large Data Sets/070. Data For Machine Learning.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/025.Large Margin Classification/071. Optimization Objective.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/025.Large Margin Classification/073. Mathematics Behind Large Margin Classification.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/026.Kernels/074. Kernels I.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/027.SVMs in Practice/076. Using An SVM.mp4 |
32 MB |
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| [CourseClub.NET] Coursera - Machine Learning/028.Clustering/077. Unsupervised Learning Introduction.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/028.Clustering/081. Choosing the Number of Clusters.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/029.Motivation/082. Motivation I Data Compression.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/030.Principal Component Analysis/084. Principal Component Analysis Problem Formulation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/031.Applying PCA/086. Reconstruction from Compressed Representation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/032.Density Estimation/089. Problem Motivation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/032.Density Estimation/090. Gaussian Distribution.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/032.Density Estimation/091. Algorithm.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/033.Building an Anomaly Detection System/092. Developing and Evaluating an Anomaly Detection System.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/033.Building an Anomaly Detection System/093. Anomaly Detection vs. Supervised Learning.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/033.Building an Anomaly Detection System/094. Choosing What Features to Use.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/034.Multivariate Gaussian Distribution (Optional)/095. Multivariate Gaussian Distribution.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/034.Multivariate Gaussian Distribution (Optional)/096. Anomaly Detection using the Multivariate Gaussian Distribution.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/035.Predicting Movie Ratings/097. Problem Formulation.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/035.Predicting Movie Ratings/098. Content Based Recommendations.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/036.Collaborative Filtering/099. Collaborative Filtering.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/036.Collaborative Filtering/100. Collaborative Filtering Algorithm.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/037.Low Rank Matrix Factorization/101. Vectorization Low Rank Matrix Factorization.mp4 |
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| [CourseClub.NET] Coursera - Machine Learning/037.Low Rank Matrix Factorization/102. Implementational Detail Mean Normalization.mp4 |
12.9 MB |
| [CourseClub.NET] Coursera - Machine Learning/037.Low Rank Matrix Factorization/102. Implementational Detail Mean Normalization.srt |
16 KB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/103. Learning With Large Datasets.mp4 |
8.5 MB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/103. Learning With Large Datasets.srt |
8 KB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/104. Stochastic Gradient Descent.mp4 |
21 MB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/104. Stochastic Gradient Descent.srt |
18 KB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/105. Mini-Batch Gradient Descent.mp4 |
9.8 MB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/105. Mini-Batch Gradient Descent.srt |
8 KB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/106. Stochastic Gradient Descent Convergence.mp4 |
18.1 MB |
| [CourseClub.NET] Coursera - Machine Learning/038.Gradient Descent with Large Datasets/106. Stochastic Gradient Descent Convergence.srt |
16 KB |
| [CourseClub.NET] Coursera - Machine Learning/039.Advanced Topics/107. Online Learning.mp4 |
20.5 MB |
| [CourseClub.NET] Coursera - Machine Learning/039.Advanced Topics/107. Online Learning.srt |
26 KB |
| [CourseClub.NET] Coursera - Machine Learning/039.Advanced Topics/108. Map Reduce and Data Parallelism.mp4 |
21.2 MB |
| [CourseClub.NET] Coursera - Machine Learning/039.Advanced Topics/108. Map Reduce and Data Parallelism.srt |
27 KB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/109. Problem Description and Pipeline.mp4 |
10.4 MB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/109. Problem Description and Pipeline.srt |
14 KB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/110. Sliding Windows.mp4 |
21.9 MB |
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30 KB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/111. Getting Lots of Data and Artificial Data.mp4 |
25.3 MB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/111. Getting Lots of Data and Artificial Data.srt |
33 KB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/112. Ceiling Analysis What Part of the Pipeline to Work on Next.mp4 |
21.9 MB |
| [CourseClub.NET] Coursera - Machine Learning/040.Photo OCR/112. Ceiling Analysis What Part of the Pipeline to Work on Next.srt |
22 KB |
| [CourseClub.NET] Coursera - Machine Learning/041.Conclusion/113. Summary and Thank You.mp4 |
9.1 MB |
| [CourseClub.NET] Coursera - Machine Learning/041.Conclusion/113. Summary and Thank You.srt |
8 KB |
| [CourseClub.NET] Coursera - Machine Learning/[CourseClub.NET].url |
123 B |
| [CourseClub.NET] Coursera - Machine Learning/[FCS Forum].url |
133 B |
| [CourseClub.NET] Coursera - Machine Learning/[FreeCourseSite.com].url |
127 B |
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