[CourseClub.NET] Coursera - Machine Learning

• [CourseClub.NET] Coursera - Machine Learning
• 001.Welcome/001. Welcome to Machine Learning!.mp4 9.1 MB
• 001.Welcome/001. Welcome to Machine Learning!.srt 2.4 KB
• 002.Introduction/002. Welcome.mp4 18.3 MB
• 002.Introduction/002. Welcome.srt 9.5 KB
• 002.Introduction/003. What is Machine Learning.mp4 11.4 MB
• 002.Introduction/003. What is Machine Learning.srt 11 KB
• 002.Introduction/004. Supervised Learning.mp4 16.7 MB
• 002.Introduction/004. Supervised Learning.srt 18.9 KB
• 002.Introduction/005. Unsupervised Learning.mp4 23.3 MB
• 002.Introduction/005. Unsupervised Learning.srt 27.5 KB
• 003.Model and Cost Function/006. Model Representation.mp4 11.4 MB
• 003.Model and Cost Function/006. Model Representation.srt 9.6 KB
• 003.Model and Cost Function/007. Cost Function.mp4 11.5 MB
• 003.Model and Cost Function/007. Cost Function.srt 10.2 KB
• 003.Model and Cost Function/008. Cost Function - Intuition I.mp4 15.5 MB
• 003.Model and Cost Function/008. Cost Function - Intuition I.srt 11.7 KB
• 003.Model and Cost Function/009. Cost Function - Intuition II.mp4 17 MB
• 003.Model and Cost Function/009. Cost Function - Intuition II.srt 10.8 KB
• 004.Parameter Learning/010. Gradient Descent.mp4 18.7 MB
• 004.Parameter Learning/010. Gradient Descent.srt 16.3 KB
• 004.Parameter Learning/011. Gradient Descent Intuition.mp4 16.6 MB
• 004.Parameter Learning/011. Gradient Descent Intuition.srt 15.9 KB
• 004.Parameter Learning/012. Gradient Descent For Linear Regression.mp4 16.4 MB
• 004.Parameter Learning/012. Gradient Descent For Linear Regression.srt 13.4 KB
• 005.Linear Algebra Review/013. Matrices and Vectors.mp4 11.9 MB
• 005.Linear Algebra Review/013. Matrices and Vectors.srt 14.9 KB
• 005.Linear Algebra Review/014. Addition and Scalar Multiplication.mp4 9.3 MB
• 005.Linear Algebra Review/014. Addition and Scalar Multiplication.srt 11.3 KB
• 005.Linear Algebra Review/015. Matrix Vector Multiplication.mp4 18.9 MB
• 005.Linear Algebra Review/015. Matrix Vector Multiplication.srt 22.8 KB
• 005.Linear Algebra Review/016. Matrix Matrix Multiplication.mp4 16.3 MB
• 005.Linear Algebra Review/016. Matrix Matrix Multiplication.srt 13.7 KB
• 005.Linear Algebra Review/017. Matrix Multiplication Properties.mp4 12.2 MB
• 005.Linear Algebra Review/017. Matrix Multiplication Properties.srt 11.5 KB
• 005.Linear Algebra Review/018. Inverse and Transpose.mp4 17 MB
• 005.Linear Algebra Review/018. Inverse and Transpose.srt 19.9 KB
• 006.Multivariate Linear Regression/019. Multiple Features.mp4 11.6 MB
• 006.Multivariate Linear Regression/019. Multiple Features.srt 13.7 KB
• 006.Multivariate Linear Regression/020. Gradient Descent for Multiple Variables.mp4 7.6 MB
• 006.Multivariate Linear Regression/020. Gradient Descent for Multiple Variables.srt 6.4 KB
• 006.Multivariate Linear Regression/021. Gradient Descent in Practice I - Feature Scaling.mp4 12.9 MB
• 006.Multivariate Linear Regression/021. Gradient Descent in Practice I - Feature Scaling.srt 16 KB
• 006.Multivariate Linear Regression/022. Gradient Descent in Practice II - Learning Rate.mp4 12.6 MB
• 006.Multivariate Linear Regression/022. Gradient Descent in Practice II - Learning Rate.srt 12.5 KB
• 006.Multivariate Linear Regression/023. Features and Polynomial Regression.mp4 11.5 MB
• 006.Multivariate Linear Regression/023. Features and Polynomial Regression.srt 15 KB
• 007.Computing Parameters Analytically/024. Normal Equation.mp4 23.6 MB
• 007.Computing Parameters Analytically/024. Normal Equation.srt 29.5 KB
• 007.Computing Parameters Analytically/025. Normal Equation Noninvertibility.mp4 8.8 MB
• 007.Computing Parameters Analytically/025. Normal Equation Noninvertibility.srt 8.6 KB
• 008.Submitting Programming Assignments/026. Working on and Submitting Programming Assignments.mp4 9 MB
• 008.Submitting Programming Assignments/026. Working on and Submitting Programming Assignments.srt 4.3 KB
• 009.Octave Matlab Tutorial/027. Basic Operations.mp4 24.9 MB
• 009.Octave Matlab Tutorial/027. Basic Operations.srt 23.9 KB
• 009.Octave Matlab Tutorial/028. Moving Data Around.mp4 29.5 MB
• 009.Octave Matlab Tutorial/028. Moving Data Around.srt 26.9 KB
• 009.Octave Matlab Tutorial/029. Computing on Data.mp4 19.8 MB
• 009.Octave Matlab Tutorial/029. Computing on Data.srt 16.7 KB
• 009.Octave Matlab Tutorial/030. Plotting Data.mp4 20.1 MB
• 009.Octave Matlab Tutorial/030. Plotting Data.srt 16.3 KB
• 009.Octave Matlab Tutorial/031. Control Statements for, while, if statement.mp4 23.9 MB
• 009.Octave Matlab Tutorial/031. Control Statements for, while, if statement.srt 22 KB
• 009.Octave Matlab Tutorial/032. Vectorization.mp4 22.3 MB
• 009.Octave Matlab Tutorial/032. Vectorization.srt 17.3 KB
• 010.Classification and Representation/033. Classification.mp4 11.3 MB
• 010.Classification and Representation/033. Classification.srt 11.4 KB
• 010.Classification and Representation/034. Hypothesis Representation.mp4 11.2 MB
• 010.Classification and Representation/034. Hypothesis Representation.srt 9.6 KB
• 010.Classification and Representation/035. Decision Boundary.mp4 22.2 MB
• 010.Classification and Representation/035. Decision Boundary.srt 17.9 KB
• 011.Logistic Regression Model/036. Cost Function.mp4 15.8 MB
• 011.Logistic Regression Model/036. Cost Function.srt 13.4 KB
• 011.Logistic Regression Model/037. Simplified Cost Function and Gradient Descent.mp4 16.3 MB
• 011.Logistic Regression Model/037. Simplified Cost Function and Gradient Descent.srt 14 KB
• 011.Logistic Regression Model/038. Advanced Optimization.mp4 26.8 MB
• 011.Logistic Regression Model/038. Advanced Optimization.srt 26.3 KB
• 012.Multiclass Classification/039. Multiclass Classification One-vs-all.mp4 9.1 MB
• 012.Multiclass Classification/039. Multiclass Classification One-vs-all.srt 9.2 KB
• 013.Solving the Problem of Overfitting/040. The Problem of Overfitting.mp4 14.9 MB
• 013.Solving the Problem of Overfitting/040. The Problem of Overfitting.srt 18.2 KB
• 013.Solving the Problem of Overfitting/041. Cost Function.mp4 15.5 MB
• 013.Solving the Problem of Overfitting/041. Cost Function.srt 18.6 KB
• 013.Solving the Problem of Overfitting/042. Regularized Linear Regression.mp4 15.6 MB
• 013.Solving the Problem of Overfitting/042. Regularized Linear Regression.srt 14.2 KB
• 013.Solving the Problem of Overfitting/043. Regularized Logistic Regression.mp4 16.8 MB
• 013.Solving the Problem of Overfitting/043. Regularized Logistic Regression.srt 16.2 KB
• 014.Motivations/044. Non-linear Hypotheses.mp4 14.7 MB
• 014.Motivations/044. Non-linear Hypotheses.srt 18 KB
• 014.Motivations/045. Neurons and the Brain.mp4 14.6 MB
• 014.Motivations/045. Neurons and the Brain.srt 15.5 KB
• 015.Neural Networks/046. Model Representation I.mp4 18 MB
• 015.Neural Networks/046. Model Representation I.srt 14.4 KB
• 015.Neural Networks/047. Model Representation II.mp4 18.4 MB
• 015.Neural Networks/047. Model Representation II.srt 21.1 KB
• 016.Applications/048. Examples and Intuitions I.mp4 10.1 MB
• 016.Applications/048. Examples and Intuitions I.srt 8.5 KB
• 016.Applications/049. Examples and Intuitions II.mp4 20.9 MB
• 016.Applications/049. Examples and Intuitions II.srt 11.4 KB
• 016.Applications/050. Multiclass Classification.mp4 7 MB

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