Torrent Info
Title Pluralsight Path. Building Statistical and Mathematical Models with R (2020)
Category PC
Size 2.45GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
~i.txt 1.53KB
~i.txt 2.09KB
~i.txt 2.76KB
~i.txt 3.32KB
~i.txt 3.00KB
~i.txt 2.69KB
~i.txt 1.54KB
~i.txt 2.41KB
~i.txt 3.32KB
~i.txt 1.48KB
01. Framing the Optimization Problem.mp4 6.62MB
01. Framing the Optimization Problem.vtt 4.70KB
01. Graphs and Graph Applications.mp4 7.82MB
01. Graphs and Graph Applications.vtt 7.14KB
01. Introducing AB Testing.mp4 8.28MB
01. Introducing AB Testing.vtt 7.55KB
01. Modeling Population Growth.mp4 6.21MB
01. Modeling Population Growth.vtt 4.81KB
01. Multi-state Models.mp4 14.33MB
01. Multi-state Models.vtt 12.21KB
01. Solutions Approaches to N-Queens.mp4 12.37MB
01. Solutions Approaches to N-Queens.vtt 10.67KB
01. Version Check.mp4 502.51KB
01. Version Check.mp4 507.95KB
01. Version Check.mp4 487.26KB
01. Version Check.mp4 487.91KB
01. Version Check.mp4 486.93KB
01. Version Check.vtt 7B
01. Version Check.vtt 7B
01. Version Check.vtt 7B
01. Version Check.vtt 7B
01. Version Check.vtt 7B
02. Directed and Undirected Graphs.mp4 6.01MB
02. Directed and Undirected Graphs.vtt 5.67KB
02. Distributions and Statistical Tests.mp4 12.13MB
02. Distributions and Statistical Tests.vtt 11.78KB
02. Forward Models and Inverse Models.mp4 4.46MB
02. Forward Models and Inverse Models.vtt 3.64KB
02. Interpreting Derivatives.mp4 9.27MB
02. Interpreting Derivatives.vtt 7.46KB
02. Introducing Local Search Algorithms.mp4 8.19MB
02. Introducing Local Search Algorithms.vtt 7.19KB
02. Prerequisites and Course Outline.mp4 3.83MB
02. Prerequisites and Course Outline.mp4 3.86MB
02. Prerequisites and Course Outline.mp4 3.97MB
02. Prerequisites and Course Outline.mp4 2.63MB
02. Prerequisites and Course Outline.mp4 3.98MB
02. Prerequisites and Course Outline.vtt 3.41KB
02. Prerequisites and Course Outline.vtt 3.58KB
02. Prerequisites and Course Outline.vtt 3.80KB
02. Prerequisites and Course Outline.vtt 2.75KB
02. Prerequisites and Course Outline.vtt 3.78KB
02. Survival Models.mp4 9.18MB
02. Survival Models.vtt 7.87KB
03. Bayes Theorem Intuition.mp4 5.27MB
03. Bayes Theorem Intuition.vtt 5.61KB
03. Connected and Unconnected Graphs.mp4 3.57MB
03. Connected and Unconnected Graphs.vtt 2.72KB
03. Introducing Differentiation.mp4 5.80MB
03. Introducing Differentiation.vtt 4.04KB
03. Introducing the MASS Package.mp4 2.47MB
03. Introducing the MASS Package.vtt 2.33KB
03. Sample Statistics and Confidence Intervals.mp4 8.83MB
03. Sample Statistics and Confidence Intervals.vtt 7.38KB
03. Simulated Annealing and Threshold Accepting.mp4 5.78MB
03. Simulated Annealing and Threshold Accepting.vtt 4.28KB
03. The Curse of Dimensionality.mp4 11.82MB
03. The Curse of Dimensionality.vtt 11.14KB
03. The Role of Statistics in Understanding Data.mp4 4.95MB
03. The Role of Statistics in Understanding Data.vtt 5.09KB
03. The Wyndor Glass Case Study.mp4 7.36MB
03. The Wyndor Glass Case Study.vtt 5.25KB
03. Types of State Models.mp4 5.62MB
03. Types of State Models.vtt 4.90KB
03. Verhulsts Equation for Population Growth.mp4 10.94MB
03. Verhulsts Equation for Population Growth.vtt 7.18KB
04. Demo - 8 Queens - Calculating Number of Attacks.mp4 19.12MB
04. Demo - 8 Queens - Calculating Number of Attacks.vtt 12.84KB
04. Drawbacks of Dimensionality Reduction.mp4 3.08MB
04. Drawbacks of Dimensionality Reduction.vtt 3.28KB
04. Frequentist Approach vs. Bayesian Approach.mp4 6.84MB
04. Frequentist Approach vs. Bayesian Approach.vtt 6.65KB
04. Graph Representations.mp4 9.95MB
04. Graph Representations.vtt 7.03KB
04. Hypothesis Testing.mp4 11.95MB
04. Hypothesis Testing.vtt 10.98KB
04. Interpreting Derivatives.mp4 7.77MB
04. Interpreting Derivatives.vtt 6.07KB
04. Normally Distributed Data - Estimating Mean.mp4 13.11MB
04. Normally Distributed Data - Estimating Mean.vtt 7.91KB
04. Primal and Dual Problems.mp4 6.95MB
04. Primal and Dual Problems.vtt 5.28KB
04. Qualitative and Quantitative Data.mp4 4.58MB
04. Qualitative and Quantitative Data.vtt 3.61KB
04. Understanding Integration.mp4 5.71MB
04. Understanding Integration.vtt 5.05KB
04. Understanding Weibull Distributions to Model State Transitions.mp4 3.92MB
04. Understanding Weibull Distributions to Model State Transitions.vtt 3.41KB
05. Demo - 8 Queens - Generating Candidate Solutions.mp4 3.79MB
05. Demo - 8 Queens - Generating Candidate Solutions.vtt 2.52KB
05. Demo - Calculating Derivatives.mp4 9.30MB
05. Demo - Calculating Derivatives.vtt 5.66KB
05. Examples of Multi-state Models.mp4 4.20MB
05. Examples of Multi-state Models.vtt 3.41KB
05. Hypothesis Testing Using t-tests.mp4 10.01MB
05. Hypothesis Testing Using t-tests.vtt 8.79KB
05. Normally Distributed Data - Calculating Confidence Intervals.mp4 5.84MB
05. Normally Distributed Data - Calculating Confidence Intervals.vtt 4.41KB
05. Overfitting and the Bias-variance Trade-off.mp4 11.82MB
05. Overfitting and the Bias-variance Trade-off.vtt 10.72KB
05. P-values, Power, and Alpha of Statistical Tests.mp4 3.76MB
05. P-values, Power, and Alpha of Statistical Tests.vtt 3.54KB
05. Shortest Path Algorithms.mp4 9.33MB
05. Shortest Path Algorithms.vtt 7.50KB
05. The Conjugate Prior.mp4 8.44MB
05. The Conjugate Prior.vtt 7.59KB
05. Underdetermined and Overdetermined Systems.mp4 8.70MB
05. Underdetermined and Overdetermined Systems.vtt 6.92KB
05. Verhulsts Equation of Population Growth.mp4 10.69MB
05. Verhulsts Equation of Population Growth.vtt 6.92KB
06. Data with Any Distribution - Estimating Mean and Confidence Intervals.mp4 11.12MB
06. Data with Any Distribution - Estimating Mean and Confidence Intervals.vtt 7.46KB
06. Demo - 8 Queens - Solution Using Local Search Techniques.mp4 10.16MB
06. Demo - 8 Queens - Solution Using Local Search Techniques.vtt 6.36KB
06. Demo - Calculating Velocity and Acceleration Using Derivatives.mp4 5.06MB
06. Demo - Calculating Velocity and Acceleration Using Derivatives.vtt 3.45KB
06. Demo - Defining and Configuring Graphs.mp4 11.12MB
06. Demo - Defining and Configuring Graphs.vtt 7.53KB
06. Demo - Solving Even Determined Systems.mp4 5.99MB
06. Demo - Solving Even Determined Systems.vtt 4.01KB
06. Hypothesis Testing Using ANOVA.mp4 4.41MB
06. Hypothesis Testing Using ANOVA.vtt 3.77KB
06. Introducing Integration to Solve Differential Equations.mp4 5.06MB
06. Introducing Integration to Solve Differential Equations.vtt 4.58KB
06. Introducing the T-test.mp4 5.23MB
06. Introducing the T-test.vtt 4.83KB
06. Techniques to Reduce Complexity.mp4 7.28MB
06. Techniques to Reduce Complexity.vtt 6.35KB
06. The Kaplan-Meier Estimator and the Log Rank Test.mp4 3.52MB
06. The Kaplan-Meier Estimator and the Log Rank Test.vtt 3.17KB
06. Understanding the Bayesian AB Test.mp4 8.31MB
06. Understanding the Bayesian AB Test.vtt 7.60KB
07. Choosing the Right Technique.mp4 7.67MB
07. Choosing the Right Technique.vtt 6.26KB
07. Demo - Integrating with the MASS Package.mp4 7.43MB
07. Demo - Integrating with the MASS Package.vtt 5.58KB
07. Demo - Modelling Outcomes and Priors for the Bayes AB Test.mp4 15.06MB
07. Demo - Modelling Outcomes and Priors for the Bayes AB Test.vtt 10.75KB
07. Demo - Performing Integration.mp4 10.33MB
07. Demo - Performing Integration.vtt 6.27KB
07. Demo - Solving Overdetermined Systems.mp4 6.48MB
07. Demo - Solving Overdetermined Systems.vtt 4.37KB
07. Demo - Specifying Attributes for Edges and Vertices.mp4 7.50MB
07. Demo - Specifying Attributes for Edges and Vertices.vtt 4.38KB
07. Demo - Understanding the Multi-state Model Data.mp4 15.20MB
07. Demo - Understanding the Multi-state Model Data.vtt 9.55KB
07. Implications of the Central Limit Theorem.mp4 4.80MB
07. Implications of the Central Limit Theorem.vtt 3.48KB
07. Objective Constraints and Decision Variables.mp4 11.43MB
07. Objective Constraints and Decision Variables.vtt 8.35KB
07. The T-test for Different Use Cases.mp4 7.64MB
07. The T-test for Different Use Cases.vtt 7.44KB
07. Types of Differential Equations.mp4 4.42MB
07. Types of Differential Equations.vtt 3.62KB
08. Demo - Exploring Different Kinds of Graphs.mp4 8.61MB
08. Demo - Exploring Different Kinds of Graphs.vtt 5.77KB
08. Demo - Exploring the Boston Housing Dataset.mp4 15.59MB
08. Demo - Exploring the Boston Housing Dataset.vtt 8.71KB
08. Demo - Modeling Transition Probabilities and Simulating Outcomes.mp4 15.17MB
08. Demo - Modeling Transition Probabilities and Simulating Outcomes.vtt 9.49KB
08. Demo - Performing and Interpreting the Bayesian AB Test for Click-through Rates.mp4 8.10MB
08. Demo - Performing and Interpreting the Bayesian AB Test for Click-through Rates.vtt 5.56KB
08. Demo - Quantitative and Qualitative Analysis of Bi.mp4 16.49MB
08. Demo - Quantitative and Qualitative Analysis of Bi.vtt 11.60KB
08. Demo - Solving Underdetermined Systems.mp4 6.78MB
08. Demo - Solving Underdetermined Systems.vtt 4.47KB
08. Demo - The Central Limit Theorem with Different Distributions.mp4 13.90MB
08. Demo - The Central Limit Theorem with Different Distributions.vtt 10.38KB
08. Demo - Using the ODE Solver to Solve Differential Equations.mp4 11.62MB
08. Demo - Using the ODE Solver to Solve Differential Equations.vtt 7.78KB
08. Initial and Boundary Value Problems.mp4 4.80MB
08. Initial and Boundary Value Problems.vtt 4.07KB
08. The Z-test.mp4 4.00MB
08. The Z-test.vtt 3.79KB
08. Wyndor Glass - Framing the Optimization Problem.mp4 7.32MB
08. Wyndor Glass - Framing the Optimization Problem.vtt 5.46KB
09. Analytical and Numerical Solvers.mp4 7.29MB
09. Analytical and Numerical Solvers.vtt 5.97KB
09. Demo - Applying Linear Inverse Models.mp4 7.88MB
09. Demo - Applying Linear Inverse Models.vtt 5.58KB
09. Demo - Calculating Shortest Distances.mp4 13.78MB
09. Demo - Calculating Shortest Distances.vtt 9.00KB
09. Demo - Performing and Interpreting the Bayesian AB Test for Page Interactions.mp4 5.42MB
09. Demo - Performing and Interpreting the Bayesian AB Test for Page Interactions.vtt 3.67KB
09. Demo - Running t-tests on Birthweight Data.mp4 7.91MB
09. Demo - Running t-tests on Birthweight Data.vtt 5.57KB
09. Demo - Selecting Predictors to Build Regression Models.mp4 8.58MB
09. Demo - Selecting Predictors to Build Regression Models.vtt 4.90KB
09. Demo - Solving Verhulsts Equation.mp4 11.36MB
09. Demo - Solving Verhulsts Equation.vtt 6.97KB
09. Demo - The Central Limit Theorem on Real Data.mp4 10.01MB
09. Demo - The Central Limit Theorem on Real Data.vtt 6.03KB
09. Demo - Visualizing and Interpreting State Occupancy Probabilities.mp4 16.45MB
09. Demo - Visualizing and Interpreting State Occupancy Probabilities.vtt 8.60KB
09. One-way ANOVA - Assumptions and Alternatives.mp4 9.37MB
09. One-way ANOVA - Assumptions and Alternatives.vtt 8.64KB
09. Setting up the Optimization as a Linear Programming Problem.mp4 4.07MB
09. Setting up the Optimization as a Linear Programming Problem.vtt 3.34KB
1. Calculating the kth Item in a Series.mp4 784.86KB
1. Calculating the kth Item in a Series.vtt 914B
1. Continuous and Categorical Data.mp4 3.98MB
1. Continuous and Categorical Data.vtt 3.37KB
1. Course Overview.mp4 3.75MB
1. Course Overview.mp4 3.54MB
1. Course Overview.mp4 3.76MB
1. Course Overview.mp4 3.42MB
1. Course Overview.mp4 3.65MB
1. Course Overview.mp4 4.41MB
1. Course Overview.mp4 3.59MB
1. Course Overview.mp4 3.61MB
1. Course Overview.mp4 3.26MB
1. Course Overview.vtt 3.32KB
1. Course Overview.vtt 2.95KB
1. Course Overview.vtt 3.02KB
1. Course Overview.vtt 2.98KB
1. Course Overview.vtt 3.06KB
1. Course Overview.vtt 2.97KB
1. Course Overview.vtt 3.01KB
1. Course Overview.vtt 2.90KB
1. Course Overview.vtt 2.03KB
1. Data Mining Statistics and Machine Learning.mp4 6.70MB
1. Data Mining Statistics and Machine Learning.vtt 6.90KB
1. Demo - Bootstrap Statistics and Sample Statistics.mp4 18.90MB
1. Demo - Bootstrap Statistics and Sample Statistics.vtt 13.03KB
1. Demo - Linear and Constant Interpolation.mp4 14.77MB
1. Demo - Linear and Constant Interpolation.vtt 10.83KB
1. Demo - Preprocessing Data.mp4 9.73MB
1. Demo - Preprocessing Data.vtt 7.50KB
1. Demo - Solving ODEs - The Population Growth Model.mp4 11.68MB
1. Demo - Solving ODEs - The Population Growth Model.vtt 8.51KB
1. Getting Weird.mp4 23.39MB
1. Getting Weird.vtt 15.41KB
1. Implementing Matrix Decomposition.mp4 10.36MB
1. Implementing Matrix Decomposition.vtt 11.64KB
1. Introducing Linear Regression.mp4 2.73MB
1. Introducing Linear Regression.vtt 2.56KB
1. Introduction.mp4 1.98MB
1. Introduction.vtt 2.49KB
1. Introduction to AB Testing.mp4 3.47MB
1. Introduction to AB Testing.vtt 3.64KB
1. Introduction to Monte Carlo.mp4 5.73MB
1. Introduction to Monte Carlo.vtt 6.76KB
1. Introduction to Value at Risk.mp4 5.27MB
1. Introduction to Value at Risk.vtt 4.37KB
1. Linear Discriminant Analysis and Quadratic Discriminant Analysis.mp4 12.21MB
1. Linear Discriminant Analysis and Quadratic Discriminant Analysis.vtt 9.51KB
1. Manifold Learning.mp4 14.73MB
1. Manifold Learning.vtt 11.96KB
1. Modeling Population Growth Using ODEs.mp4 5.49MB
1. Modeling Population Growth Using ODEs.vtt 5.08KB
1. Ordinary Differential Equations.mp4 9.37MB
1. Ordinary Differential Equations.vtt 7.80KB
1. Principal Component Analysis - Intuition.mp4 8.19MB
1. Principal Component Analysis - Intuition.vtt 6.88KB
1. Principal Components Analysis.mp4 12.02MB
1. Principal Components Analysis.vtt 10.19KB
1. Recap - Ordinary Differential Equations.mp4 3.23MB
1. Recap - Ordinary Differential Equations.vtt 3.13KB
1. Solving Linear Equations.mp4 16.37MB
1. Solving Linear Equations.vtt 12.72KB
1. Understanding and Calculating Eigenvalues and Eigenvectors.mp4 14.99MB
1. Understanding and Calculating Eigenvalues and Eigenvectors.vtt 13.10KB
1. Understanding Operations on Matrices.mp4 10.89MB
1. Understanding Operations on Matrices.vtt 7.28KB
1. Using Least Squares Calculations.mp4 7.45MB
1. Using Least Squares Calculations.vtt 8.20KB
1. Version Check.mp4 513.19KB
1. Version Check.mp4 490.75KB
1. Version Check.vtt 7B
1. Version Check.vtt 7B
1. Working with Vectors and Matrices in R.mp4 19.33MB
1. Working with Vectors and Matrices in R.vtt 10.27KB
10. Demo - Calculating Shortest Paths.mp4 5.92MB
10. Demo - Calculating Shortest Paths.vtt 3.69KB
10. Demo - Modeling Survival Analysis.mp4 11.36MB
10. Demo - Modeling Survival Analysis.vtt 7.04KB
10. Demo - Performing Stepwise and Kitchen Sink Regression.mp4 14.28MB
10. Demo - Performing Stepwise and Kitchen Sink Regression.vtt 9.31KB
10. Demo - Quantitative and Qualitative Analysis of Ca.mp4 7.61MB
10. Demo - Quantitative and Qualitative Analysis of Ca.vtt 4.90KB
10. Drawbacks of Conventional Approaches.mp4 5.44MB
10. Drawbacks of Conventional Approaches.vtt 4.10KB
10. Modeling Technology Adoption Using an S-curve.mp4 7.03MB
10. Modeling Technology Adoption Using an S-curve.vtt 6.95KB
10. Solving the Linear Programming Problem Graphically.mp4 4.44MB
10. Solving the Linear Programming Problem Graphically.vtt 4.13KB
10. Summary and Further Study.mp4 2.02MB
10. Summary and Further Study.mp4 2.06MB
10. Summary and Further Study.mp4 2.29MB
10. Summary and Further Study.vtt 2.04KB
10. Summary and Further Study.vtt 1.91KB
10. Summary and Further Study.vtt 2.51KB
10. Two-way ANOVA and Assumptions.mp4 3.33MB
10. Two-way ANOVA and Assumptions.vtt 3.04KB
11. Demo - Executing ANOVA Analysis on Cars Data.mp4 8.25MB
11. Demo - Executing ANOVA Analysis on Cars Data.vtt 5.38KB
11. Demo - Log Rank Tests and the Proportional Hazards Model.mp4 7.63MB
11. Demo - Log Rank Tests and the Proportional Hazards Model.vtt 4.40KB
11. Demo - Solving Optimization Problems Using Linear Programming.mp4 8.23MB
11. Demo - Solving Optimization Problems Using Linear Programming.vtt 5.75KB
11. Introducing Bootstrapping.mp4 12.30MB
11. Introducing Bootstrapping.vtt 8.46KB
11. Modeling Financial Assets Using PDEs.mp4 12.03MB
11. Modeling Financial Assets Using PDEs.vtt 9.23KB
11. Pearsons Chi2 Test.mp4 5.91MB
11. Pearsons Chi2 Test.vtt 5.52KB
12. Bootstrapped Confidence Intervals.mp4 13.57MB
12. Bootstrapped Confidence Intervals.vtt 11.28KB
12. Demo - Linear Programming to Solve the Wyndor Glass Problem.mp4 5.64MB
12. Demo - Linear Programming to Solve the Wyndor Glass Problem.vtt 4.27KB
12. Demo - Paired Sample t-test on Anorexia Data.mp4 6.38MB
12. Demo - Paired Sample t-test on Anorexia Data.vtt 5.26KB
12. Summary and Further Study.mp4 2.09MB
12. Summary and Further Study.vtt 2.06KB
2. Data Preparation.mp4 11.25MB
2. Data Preparation.vtt 7.60KB
2. Demo - Calculating the Derivative of a Function.mp4 9.34MB
2. Demo - Calculating the Derivative of a Function.vtt 7.58KB
2. Demo - Exploring and Preparing Data for Linear Discriminant Analysis.mp4 13.86MB
2. Demo - Exploring and Preparing Data for Linear Discriminant Analysis.vtt 9.46KB
2. Demo - Implementing Matrix Decomposition.mp4 30.85MB
2. Demo - Implementing Matrix Decomposition.vtt 10.20KB
2. Demo - Linear and Polynomial Extrapolation.mp4 11.81MB
2. Demo - Linear and Polynomial Extrapolation.vtt 8.34KB
2. Demo - Manifold Learning Using Metric and Non-metric MDS.mp4 20.05MB
2. Demo - Manifold Learning Using Metric and Non-metric MDS.vtt 11.02KB
2. Demo - One Sample T-test and Z-test.mp4 11.42MB
2. Demo - One Sample T-test and Z-test.vtt 8.78KB
2. Demo - Performing Bootstrapping on Real Data.mp4 19.15MB
2. Demo - Performing Bootstrapping on Real Data.vtt 11.46KB
2. Demo - Solving ODEs - Van Der Pols Equation.mp4 10.36MB
2. Demo - Solving ODEs - Van Der Pols Equation.vtt 5.33KB
2. Demo - Using Least Squares Calculations.mp4 16.09MB
2. Demo - Using Least Squares Calculations.vtt 8.20KB
2. Difference Equations.mp4 9.84MB
2. Difference Equations.vtt 8.59KB
2. Differential Algebraic Equations.mp4 8.50MB
2. Differential Algebraic Equations.vtt 6.56KB
2. Interpreting Derivatives.mp4 7.54MB
2. Interpreting Derivatives.vtt 7.24KB
2. Linear Discriminant Analysis and Quadratic Discriminant Analysis.mp4 5.88MB
2. Linear Discriminant Analysis and Quadratic Discriminant Analysis.vtt 4.54KB
2. Linear Regression.mp4 7.95MB
2. Linear Regression.vtt 7.85KB
2. MC Basics in R.mp4 12.87MB
2. MC Basics in R.vtt 13.61KB
2. Partial Least Squares Regression.mp4 8.22MB
2. Partial Least Squares Regression.vtt 6.52KB
2. Prerequisites and Course Outline.mp4 1.92MB
2. Prerequisites and Course Outline.mp4 4.46MB
2. Prerequisites and Course Outline.vtt 2.06KB
2. Prerequisites and Course Outline.vtt 3.79KB
2. Random Walk.mp4 10.28MB
2. Random Walk.vtt 8.23KB
2. Regression Metrics and Bootstrapping.mp4 8.19MB
2. Regression Metrics and Bootstrapping.vtt 6.21KB
2. Two Sample t-test.mp4 9.38MB
2. Two Sample t-test.vtt 6.26KB
2. Understanding Hypothesis Testing.mp4 9.01MB
2. Understanding Hypothesis Testing.vtt 8.13KB
3. Case Resampling and Residual Resampling.mp4 6.53MB
3. Case Resampling and Residual Resampling.vtt 4.70KB
3. Chi-squared Test.mp4 8.10MB
3. Chi-squared Test.vtt 6.85KB
3. Demo - Calculating the kth Item in a Series.mp4 20.07MB
3. Demo - Calculating the kth Item in a Series.vtt 8.97KB
3. Demo - Exploring Data for Regression Analysis.mp4 9.05MB
3. Demo - Exploring Data for Regression Analysis.vtt 6.37KB
3. Demo - Interpolation Using Spline and Smoothing Techniques.mp4 4.80MB
3. Demo - Interpolation Using Spline and Smoothing Techniques.vtt 2.66KB
3. Demo - Manifold Learning Using t-SNE, Isomap, and LLE.mp4 16.69MB
3. Demo - Manifold Learning Using t-SNE, Isomap, and LLE.vtt 8.25KB
3. Demo - Performing Bootstrapping Using the Boot Method.mp4 8.70MB
3. Demo - Performing Bootstrapping Using the Boot Method.vtt 5.87KB
3. Demo - Performing Linear Discriminant Analysis on Glass Data.mp4 16.55MB
3. Demo - Performing Linear Discriminant Analysis on Glass Data.vtt 11.22KB
3. Demo - Performing Principal Component Analysis.mp4 15.10MB
3. Demo - Performing Principal Component Analysis.vtt 9.00KB
3. Demo - Solving Differential Equations.mp4 11.14MB
3. Demo - Solving Differential Equations.vtt 8.81KB
3. Demo - Solving ODEs - Chaotic Solutions to Lorenzs Equation.mp4 7.83MB
3. Demo - Solving ODEs - Chaotic Solutions to Lorenzs Equation.vtt 3.69KB
3. Demo - Two Sample T-test.mp4 14.45MB
3. Demo - Two Sample T-test.vtt 10.34KB
3. Fitting Robust Linear Models.mp4 6.59MB
3. Fitting Robust Linear Models.vtt 5.69KB
3. Introducing Numerical Methods.mp4 6.07MB
3. Introducing Numerical Methods.vtt 5.92KB
3. Parametric and Historical VaR.mp4 14.23MB
3. Parametric and Historical VaR.vtt 8.79KB
3. Partial Differential Equations.mp4 10.12MB
3. Partial Differential Equations.vtt 7.71KB
3. Rolling the Dice.mp4 11.62MB
3. Rolling the Dice.vtt 9.55KB
3. Simulating Random Walk with MC.mp4 18.71MB
3. Simulating Random Walk with MC.vtt 11.08KB
3. The T-test and the Z-test.mp4 8.73MB
3. The T-test and the Z-test.vtt 7.89KB
3. Understanding Mathematical Models and Statistical Models.mp4 12.20MB
3. Understanding Mathematical Models and Statistical Models.vtt 11.52KB
3. Verhulsts Decreasing Growth Model.mp4 6.56MB
3. Verhulsts Decreasing Growth Model.vtt 5.54KB
4. AB Testing with Monte Carlo.mp4 13.14MB
4. AB Testing with Monte Carlo.vtt 10.92KB
4. Demo - Bootstrapping Multiple Statistics.mp4 13.95MB
4. Demo - Bootstrapping Multiple Statistics.vtt 9.72KB
4. Demo - Estimating R2 of Regression Models Using Bootstrapping.mp4 11.89MB
4. Demo - Estimating R2 of Regression Models Using Bootstrapping.vtt 8.17KB
4. Demo - Exploring the Automobile Dataset.mp4 11.41MB
4. Demo - Exploring the Automobile Dataset.vtt 7.61KB
4. Demo - Iterative Techniques - Jacobi Method to Solve Linear Equations.mp4 10.76MB
4. Demo - Iterative Techniques - Jacobi Method to Solve Linear Equations.vtt 7.22KB
4. Demo - Kernel PCA for Non-linearly Separable Data.mp4 9.95MB
4. Demo - Kernel PCA for Non-linearly Separable Data.vtt 6.53KB
4. Demo - Linear Discriminant Analysis (LDA) and Visualization.mp4 19.49MB
4. Demo - Linear Discriminant Analysis (LDA) and Visualization.vtt 11.29KB
4. Demo - Performing Linear Regression and Interpretings Results.mp4 14.87MB
4. Demo - Performing Linear Regression and Interpretings Results.vtt 10.03KB
4. Demo - Performing Quadratic Discriminant Analysis on Glass Data.mp4 6.38MB
4. Demo - Performing Quadratic Discriminant Analysis on Glass Data.vtt 4.93KB
4. Demo - Regression Using Principal Components.mp4 11.38MB
4. Demo - Regression Using Principal Components.vtt 6.56KB
4. Demo - Solving DAEs - An Auto-catalytic Chemical Reaction.mp4 14.04MB
4. Demo - Solving DAEs - An Auto-catalytic Chemical Reaction.vtt 8.33KB
4. Demo - Solving Verhulsts Equation for Population Growth.mp4 10.16MB
4. Demo - Solving Verhulsts Equation for Population Growth.vtt 8.02KB
4. Demo - Type I and Type II Errors.mp4 12.56MB
4. Demo - Type I and Type II Errors.vtt 9.07KB
4. Direct and Iterative Numerical Methods.mp4 8.19MB
4. Direct and Iterative Numerical Methods.vtt 7.00KB
4. Estimating Pi.mp4 8.90MB
4. Estimating Pi.vtt 5.79KB
4. Mathematical Models and Statistical Models - Differences and Applicati.mp4 9.39MB
4. Mathematical Models and Statistical Models - Differences and Applicati.vtt 8.86KB
4. Modeling Value at Risk - A Simplistic Model.mp4 8.45MB
4. Modeling Value at Risk - A Simplistic Model.vtt 7.68KB
4. Monte Carlo VaR.mp4 14.14MB
4. Monte Carlo VaR.vtt 8.57KB
4. Point Estimates and Confidence Intervals.mp4 21.04MB
4. Point Estimates and Confidence Intervals.vtt 12.84KB
4. Solving Partial Differential Equations.mp4 3.84MB
4. Solving Partial Differential Equations.vtt 3.27KB
5. Data and Metadata.mp4 9.06MB
5. Data and Metadata.vtt 9.50KB
5. Demo - Direct Techniques - Gaussian Elimination to Solve Linear Equations.mp4 5.86MB
5. Demo - Direct Techniques - Gaussian Elimination to Solve Linear Equations.vtt 3.94KB
5. Demo - Estimating Coefficients Using Bootstrapping.mp4 12.48MB
5. Demo - Estimating Coefficients Using Bootstrapping.vtt 8.20KB
5. Demo - LDA Using All Column Values.mp4 6.65MB
5. Demo - LDA Using All Column Values.vtt 3.90KB
5. Demo - One Sample T-test.mp4 11.07MB
5. Demo - One Sample T-test.vtt 8.39KB
5. Demo - Performing Chi2 Analysis.mp4 10.88MB
5. Demo - Performing Chi2 Analysis.vtt 8.49KB
5. Demo - Principal Components Regression.mp4 11.07MB
5. Demo - Principal Components Regression.vtt 7.30KB
5. Demo - Solving DAEs - The Pendulum Equation.mp4 4.44MB
5. Demo - Solving DAEs - The Pendulum Equation.vtt 2.61KB
5. Inserting a Prior into the Simulations.mp4 7.30MB
5. Inserting a Prior into the Simulations.vtt 7.53KB
5. Introducing the Bayesian Bootstrap.mp4 8.92MB
5. Introducing the Bayesian Bootstrap.vtt 6.40KB
5. Logistic Regression.mp4 8.13MB
5. Logistic Regression.vtt 7.60KB
5. Module Summary.mp4 2.87MB
5. Module Summary.vtt 3.01KB
5. Numerical Instability and Errors.mp4 6.94MB
5. Numerical Instability and Errors.vtt 5.55KB
5. Predictions on Commodities Data.mp4 22.91MB
5. Predictions on Commodities Data.vtt 15.23KB
5. The 8 Queens Problem.mp4 11.95MB
5. The 8 Queens Problem.vtt 11.62KB
5. The Diffusion Equation.mp4 6.74MB
5. The Diffusion Equation.vtt 5.34KB
5. Understanding Monte Carlo Simulations.mp4 6.29MB
5. Understanding Monte Carlo Simulations.vtt 6.06KB
6. Bayesian Bootstrap Algorithm.mp4 5.18MB
6. Bayesian Bootstrap Algorithm.vtt 3.53KB
6. Conclusion.mp4 1.24MB
6. Conclusion.vtt 1.26KB
6. Delay Differential Equations.mp4 6.04MB
6. Delay Differential Equations.vtt 4.86KB
6. Demo - Case Resampling and Residual Resampling Using the Boot() Method.mp4 10.64MB
6. Demo - Case Resampling and Residual Resampling Using the Boot() Method.vtt 5.69KB
6. Demo - Creating an Environment to Run the R Kernel on Jupyter Notebook.mp4 6.75MB
6. Demo - Creating an Environment to Run the R Kernel on Jupyter Notebook.vtt 3.67KB
6. Demo - Discretizing Continuous Data.mp4 10.18MB
6. Demo - Discretizing Continuous Data.vtt 6.66KB
6. Demo - Interpreting the Results of Chi2 Analysis.mp4 11.22MB
6. Demo - Interpreting the Results of Chi2 Analysis.vtt 8.40KB
6. Demo - One Sample Z-test.mp4 7.12MB
6. Demo - One Sample Z-test.vtt 5.59KB
6. Demo - Partial Least Squares Regression.mp4 7.95MB
6. Demo - Partial Least Squares Regression.vtt 6.35KB
6. Demo - Quadratic Discriminant Analysis.mp4 4.97MB
6. Demo - Quadratic Discriminant Analysis.vtt 3.00KB
6. Demo - Solving PDEs - The Diffusion Equation for Heat Transfer.mp4 12.91MB
6. Demo - Solving PDEs - The Diffusion Equation for Heat Transfer.vtt 7.11KB
6. Interpolation and Extrapolation.mp4 3.82MB
6. Interpolation and Extrapolation.vtt 3.82KB
6. Local Search Optimization Techniques.mp4 9.39MB
6. Local Search Optimization Techniques.vtt 9.15KB
6. Odds Ratio and the Forest Plot.mp4 3.06MB
6. Odds Ratio and the Forest Plot.vtt 2.95KB
6. Using Monte Carlo Simulations to Model Value at Risk.mp4 7.83MB
6. Using Monte Carlo Simulations to Model Value at Risk.vtt 7.66KB
7. Constant, Linear, Polynomial, and Spline Interpolation.mp4 8.33MB
7. Constant, Linear, Polynomial, and Spline Interpolation.vtt 6.79KB
7. Demo - Associating Metadata Using the Comment Function.mp4 3.85MB
7. Demo - Associating Metadata Using the Comment Function.vtt 3.70KB
7. Demo - Fitting a Robust Linear Model.mp4 15.18MB
7. Demo - Fitting a Robust Linear Model.vtt 10.40KB
7. Demo - One-way ANOVA.mp4 12.98MB
7. Demo - One-way ANOVA.vtt 9.66KB
7. Demo - Performing Bayesian Bootstrapping.mp4 12.83MB
7. Demo - Performing Bayesian Bootstrapping.vtt 8.81KB
7. Demo - Performing Logistic Regression.mp4 9.58MB
7. Demo - Performing Logistic Regression.vtt 6.91KB
7. Demo - Rounding Errors and Approximation Errors.mp4 9.01MB
7. Demo - Rounding Errors and Approximation Errors.vtt 5.67KB
7. Demo - Setting up Helper Functions to Solve the 8 Queens Optimization Prob.mp4 16.19MB
7. Demo - Setting up Helper Functions to Solve the 8 Queens Optimization Prob.vtt 13.25KB
7. Demo - Solving DDEs - Infectious Disease Modeling.mp4 12.16MB
7. Demo - Solving DDEs - Infectious Disease Modeling.vtt 7.83KB
7. Demo - Two Sample T-test.mp4 11.99MB
7. Demo - Two Sample T-test.vtt 7.63KB
7. Infectious Disease Modeling.mp4 9.34MB
7. Infectious Disease Modeling.vtt 7.11KB
7. Summary and Further Study.mp4 2.57MB
7. Summary and Further Study.vtt 2.72KB
8. Demo - Accuracy, Sensitivity, and Specificity of the Logistic Regression Model.mp4 15.14MB
8. Demo - Accuracy, Sensitivity, and Specificity of the Logistic Regression Model.vtt 11.47KB
8. Demo - Applying Local Search Optimization to Solve the Eight Queens Proble.mp4 11.51MB
8. Demo - Applying Local Search Optimization to Solve the Eight Queens Proble.vtt 9.24KB
8. Demo - Approximating Derivate Calculations.mp4 9.90MB
8. Demo - Approximating Derivate Calculations.vtt 6.64KB
8. Demo - Assumptions of One-way ANOVA and Alternatives.mp4 6.35MB
8. Demo - Assumptions of One-way ANOVA and Alternatives.vtt 4.40KB
8. Demo - Paired Sample T-test and Z-test.mp4 9.56MB
8. Demo - Paired Sample T-test and Z-test.vtt 6.88KB
8. Demo - Querying and Setting Metadata Using the Meta Function.mp4 13.97MB
8. Demo - Querying and Setting Metadata Using the Meta Function.vtt 9.69KB
8. Demo - Robust Regression Using the Boston Housing Dataset.mp4 19.41MB
8. Demo - Robust Regression Using the Boston Housing Dataset.vtt 11.56KB
8. Introducing the Smoothed Bootstrap.mp4 4.49MB
8. Introducing the Smoothed Bootstrap.vtt 3.60KB
8. System of Linear Equations.mp4 5.32MB
8. System of Linear Equations.vtt 4.45KB
9. Demo - Eulers Method and Numerical Instability.mp4 18.57MB
9. Demo - Eulers Method and Numerical Instability.vtt 12.56KB
9. Demo - Smoothed Bootstrap.mp4 7.54MB
9. Demo - Smoothed Bootstrap.vtt 5.79KB
9. Demo - Two-way ANOVA.mp4 14.95MB
9. Demo - Two-way ANOVA.vtt 11.92KB
9. Gaussian Elimination and Jacobi Method.mp4 10.72MB
9. Gaussian Elimination and Jacobi Method.vtt 9.30KB
9. Summary and Further Study.mp4 2.13MB
9. Summary and Further Study.vtt 2.17KB
A3. Binomial Coefficient Analysis with R (Deepika Singh, 2019).html 19.45KB
A3. Binomial Coefficient Analysis with R (Deepika Singh, 2019).png 110.63KB
A4. Beta and Gamma Function Implementation in R (Deepika Singh, 2020).html 52.26KB
A4. Beta and Gamma Function Implementation in R (Deepika Singh, 2020).png 314.18KB
exercise.7z 2.46MB
exercise.7z 5.17MB
exercise.7z 4.04MB
exercise.7z 4.20MB
exercise.7z 9.88MB
exercise.7z 8.93MB
exercise.7z 5.08MB
exercise.7z 3.60MB
exercise.7z 2.16MB
playlist.m3u 2.86KB
playlist.m3u 4.67KB
playlist.m3u 3.31KB
playlist.m3u 3.16KB
playlist.m3u 2.68KB
playlist.m3u 1.03KB
playlist.m3u 3.12KB
playlist.m3u 2.79KB
playlist.m3u 1.27KB
scr_2022-05.png 189.90KB
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United States (US) 1
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