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Udemy - Machine Learning with Javascript
Language: English | Size:6.75 GB
Genre:eLearning

Files Included :

001 Getting Started - How to Get Help.mp4 (8.35 MB)
MP4
004 Solving Machine Learning Problems.mp4 (62.77 MB)
MP4
005 A Complete Walkthrough.mp4 (63.3 MB)
MP4
006 App Setup.mp4 (8.13 MB)
MP4
007 Problem Outline.mp4 (22.9 MB)
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008 Identifying Relevant Data.mp4 (33.91 MB)
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009 Dataset Structures.mp4 (48.24 MB)
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010 Recording Observation Data.mp4 (12.68 MB)
MP4
011 What Type of Problem.mp4 (16.86 MB)
MP4
001 How K-Nearest Neighbor Works.mp4 (69.73 MB)
MP4
002 Lodash Review.mp4 (48.26 MB)
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003 Implementing KNN.mp4 (59.34 MB)
MP4
004 Finishing KNN Implementation.mp4 (37.96 MB)
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005 Testing the Algorithm.mp4 (44.96 MB)
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006 Interpreting Bad Results.mp4 (25.65 MB)
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007 Test and Training Data.mp4 (27.37 MB)
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008 Randomizing Test Data.mp4 (13.46 MB)
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009 Generalizing KNN.mp4 (38.99 MB)
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010 Gauging Accuracy.mp4 (45.97 MB)
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011 Printing a Report.mp4 (33.29 MB)
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012 Refactoring Accuracy Reporting.mp4 (33.81 MB)
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013 Investigating Optimal K Values.mp4 (112.41 MB)
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014 Updating KNN for Multiple Features.mp4 (48.83 MB)
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015 Multi-Dimensional KNN.mp4 (31.92 MB)
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016 N-Dimension Distance.mp4 (59.47 MB)
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017 Arbitrary Feature Spaces.mp4 (58.1 MB)
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018 Magnitude Offsets in Features.mp4 (46.23 MB)
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019 Feature Normalization.mp4 (54.09 MB)
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020 Normalization with MinMax.mp4 (54.4 MB)
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021 Applying Normalization.mp4 (38.91 MB)
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022 Feature Selection with KNN.mp4 (57.3 MB)
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023 Objective Feature Picking.mp4 (28.47 MB)
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024 Evaluating Different Feature Values.mp4 (21.01 MB)
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001 Let's Get Our Bearings.mp4 (46.8 MB)
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002 A Plan to Move Forward.mp4 (36.9 MB)
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003 Tensor Shape and Dimension.mp4 (70.3 MB)
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004 Elementwise Operations.mp4 (43.18 MB)
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005 Broadcasting Operations.mp4 (24.22 MB)
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006 Logging Tensor Data.mp4 (10.68 MB)
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007 Tensor Accessors.mp4 (10.92 MB)
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008 Creating Slices of Data.mp4 (27.97 MB)
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009 Tensor Concatenation.mp4 (27.84 MB)
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010 Summing Values Along an Axis.mp4 (30.04 MB)
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011 Massaging Dimensions with ExpandDims.mp4 (27.21 MB)
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001 KNN with Regression.mp4 (19.02 MB)
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002 A Change in Data Structure.mp4 (15.11 MB)
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003 KNN with Tensorflow.mp4 (59.55 MB)
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004 Maintaining Order Relationships.mp4 (36.11 MB)
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005 Sorting Tensors.mp4 (29.49 MB)
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006 Averaging Top Values.mp4 (47.53 MB)
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007 Moving to the Editor.mp4 (26.79 MB)
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008 Loading CSV Data.mp4 (68.81 MB)
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009 Running an Analysis.mp4 (20.82 MB)
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010 Reporting Error Percentages.mp4 (40.68 MB)
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011 Normalization or Standardization.mp4 (77.88 MB)
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012 Numerical Standardization with Tensorflow.mp4 (40.17 MB)
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013 Applying Standardization.mp4 (36.51 MB)
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014 Debugging Calculations.mp4 (75.03 MB)
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015 What Now.mp4 (17.76 MB)
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001 Linear Regression.mp4 (9.7 MB)
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002 Why Linear Regression.mp4 (29.91 MB)
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003 Understanding Gradient Descent.mp4 (77.88 MB)
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004 Guessing Coefficients with MSE.mp4 (70.81 MB)
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005 Observations Around MSE.mp4 (21.44 MB)
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006 Derivatives!.mp4 (20.72 MB)
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007 Gradient Descent in Action.mp4 (89.2 MB)
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008 Quick Breather and Review.mp4 (39.05 MB)
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009 Why a Learning Rate.mp4 (148.47 MB)
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010 Answering Common Questions.mp4 (29.84 MB)
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011 Gradient Descent with Multiple Terms.mp4 (16.76 MB)
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012 Multiple Terms in Action.mp4 (103.27 MB)
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001 Project Overview.mp4 (24.94 MB)
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002 Data Loading.mp4 (19.56 MB)
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003 Default Algorithm Options.mp4 (26.6 MB)
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004 Formulating the Training Loop.mp4 (8.7 MB)
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005 Initial Gradient Descent Implementation.mp4 (67.66 MB)
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006 Calculating MSE Slopes.mp4 (51.06 MB)
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007 Updating Coefficients.mp4 (26.02 MB)
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008 Interpreting Results.mp4 (89.66 MB)
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009 Matrix Multiplication.mp4 (30.58 MB)
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010 More on Matrix Multiplication.mp4 (43.58 MB)
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011 Matrix Form of Slope Equations.mp4 (22.66 MB)
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012 Simplification with Matrix Multiplication.mp4 (60.76 MB)
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013 How it All Works Together!.mp4 (110.57 MB)
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001 Refactoring the Linear Regression Class.mp4 (45.89 MB)
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002 Refactoring to One Equation.mp4 (63.81 MB)
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003 A Few More Changes.mp4 (58.55 MB)
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004 Same Results  Or Not.mp4 (12 MB)
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005 Calculating Model Accuracy.mp4 (56.49 MB)
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006 Implementing Coefficient of Determination.mp4 (47.48 MB)
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007 Dealing with Bad Accuracy.mp4 (57.68 MB)
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008 Reminder on Standardization.mp4 (18.83 MB)
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009 Data Processing in a Helper Method.mp4 (23.5 MB)
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010 Reapplying Standardization.mp4 (50.2 MB)
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011 Fixing Standardization Issues.mp4 (40.99 MB)
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012 Massaging Learning Rates.mp4 (22.77 MB)
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013 Moving Towards Multivariate Regression.mp4 (84.99 MB)
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014 Refactoring for Multivariate Analysis.mp4 (72.4 MB)
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015 Learning Rate Optimization.mp4 (53.01 MB)
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016 Recording MSE History.mp4 (32.67 MB)
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017 Updating Learning Rate.mp4 (27.96 MB)
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001 Observing Changing Learning Rate and MSE.mp4 (35.39 MB)
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002 Plotting MSE Values.mp4 (39.65 MB)
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003 Plotting MSE History against B Values.mp4 (36.13 MB)
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001 Batch and Stochastic Gradient Descent.mp4 (63.66 MB)
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002 Refactoring Towards Batch Gradient Descent.mp4 (23.6 MB)
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003 Determining Batch Size and Quantity.mp4 (53.93 MB)
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004 Iterating Over Batches.mp4 (26.41 MB)
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005 Evaluating Batch Gradient Descent Results.mp4 (50.7 MB)
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006 Making Predictions with the Model.mp4 (33.83 MB)
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001 Introducing Logistic Regression.mp4 (8.95 MB)
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002 Logistic Regression in Action.mp4 (17.76 MB)
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003 Bad Equation Fits.mp4 (33.59 MB)
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004 The Sigmoid Equation.mp4 (30.37 MB)
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005 Decision Boundaries.mp4 (35.04 MB)
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006 Changes for Logistic Regression.mp4 (3.39 MB)
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007 Project Setup for Logistic Regression.mp4 (46.88 MB)
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009 Importing Vehicle Data.mp4 (33.05 MB)
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010 Encoding Label Values.mp4 (29.85 MB)
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011 Updating Linear Regression for Logistic Regression.mp4 (54.31 MB)
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012 The Sigmoid Equation with Logistic Regression.mp4 (23.29 MB)
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013 A Touch More Refactoring.mp4 (78.65 MB)
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014 Gauging Classification Accuracy.mp4 (22.32 MB)
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015 Implementing a Test Function.mp4 (19.98 MB)
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016 Variable Decision Boundaries.mp4 (58.41 MB)
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017 Mean Squared Error vs Cross Entropy.mp4 (43.54 MB)
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018 Refactoring with Cross Entropy.mp4 (38.21 MB)
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019 Finishing the Cost Refactor.mp4 (42.11 MB)
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020 Plotting Changing Cost History.mp4 (33.29 MB)
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001 Multinominal Logistic Regression.mp4 (6.56 MB)
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002 A Smart Refactor to Multinominal Analysis.mp4 (14.51 MB)
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003 A Smarter Refactor!.mp4 (28.54 MB)
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004 A Single Instance Approach.mp4 (74.37 MB)
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005 Refactoring to Multi-Column Weights.mp4 (30.25 MB)
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006 A Problem to Test Multinominal Classification.mp4 (28.84 MB)
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007 Classifying Continuous Values.mp4 (19.67 MB)
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008 Training a Multinominal Model.mp4 (41.17 MB)
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009 Marginal vs Conditional Probability.mp4 (68.35 MB)
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010 Sigmoid vs Softmax.mp4 (44.6 MB)
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011 Refactoring Sigmoid to Softmax.mp4 (41.8 MB)
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012 Implementing Accuracy Gauges.mp4 (21.99 MB)
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013 Calculating Accuracy.mp4 (11.66 MB)
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001 Handwriting Recognition.mp4 (8.35 MB)
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002 Greyscale Values.mp4 (38.45 MB)
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003 Many Features.mp4 (36.72 MB)
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004 Flattening Image Data.mp4 (36.99 MB)
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005 Encoding Label Values.mp4 (38.26 MB)
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006 Implementing an Accuracy Gauge.mp4 (62.17 MB)
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007 Unchanging Accuracy.mp4 (7.03 MB)
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008 Debugging the Calculation Process.mp4 (77.59 MB)
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009 Dealing with Zero Variances.mp4 (22.96 MB)
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010 Backfilling Variance.mp4 (16.48 MB)
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001 Handing Large Datasets.mp4 (18.46 MB)
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002 Minimizing Memory Usage.mp4 (15.15 MB)
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003 Creating Memory Snapshots.mp4 (21.77 MB)
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004 The Javascript Garbage Collector.mp4 (22.56 MB)
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005 Shallow vs Retained Memory Usage.mp4 (46.68 MB)
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006 Measuring Memory Usage.mp4 (85.87 MB)
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007 Releasing References.mp4 (31.88 MB)
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008 Measuring Footprint Reduction.mp4 (26.87 MB)
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009 Optimization Tensorflow Memory Usage.mp4 (11.44 MB)
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010 Tensorflow's Eager Memory Usage.mp4 (20.13 MB)
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011 Cleaning up Tensors with Tidy.mp4 (9.42 MB)
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012 Implementing TF Tidy.mp4 (13.67 MB)
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013 Tidying the Training Loop.mp4 (41.06 MB)
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014 Measuring Reduced Memory Usage.mp4 (11 MB)
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015 One More Optimization.mp4 (21.45 MB)
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016 Final Memory Report.mp4 (21.11 MB)
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017 Plotting Cost History.mp4 (43.33 MB)
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018 NaN in Cost History.mp4 (35.86 MB)
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019 Fixing Cost History.mp4 (30.58 MB)
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020 Massaging Learning Parameters.mp4 (13.55 MB)
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021 Improving Model Accuracy.mp4 (33.65 MB)
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001 Loading CSV Files.mp4 (5.98 MB)
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002 A Test Dataset.mp4 (3.71 MB)
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003 Reading Files from Disk.mp4 (6.6 MB)
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004 Splitting into Columns.mp4 (6.7 MB)
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005 Dropping Trailing Columns.mp4 (7.67 MB)
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006 Parsing Number Values.mp4 (24.02 MB)
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007 Custom Value Parsing.mp4 (14.02 MB)
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008 Extracting Data Columns.mp4 (50.66 MB)
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009 Shuffling Data via Seed Phrase.mp4 (32.89 MB)
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010 Splitting Test and Training.mp4 (48.31 MB)
MP4

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