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[FreeCourseWorld.Com] Udemy - Machine Learning with Javascript
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2022-10-28 23:14
2024-12-21 19:19
152
10.1 GB
183
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FreeCourseWorld
Com
Udemy
-
Machine
Learning
with
Javascript
文件列表
01 What is Machine Learning/001 Getting Started - How to Get Help.mp4
8.35MB
01 What is Machine Learning/002 Solving Machine Learning Problems.mp4
62.77MB
01 What is Machine Learning/003 A Complete Walkthrough.mp4
109.13MB
01 What is Machine Learning/004 App Setup.mp4
19.27MB
01 What is Machine Learning/005 Problem Outline.mp4
31.21MB
01 What is Machine Learning/006 Identifying Relevant Data.mp4
33.91MB
01 What is Machine Learning/007 Dataset Structures.mp4
48.24MB
01 What is Machine Learning/008 Recording Observation Data.mp4
32.74MB
01 What is Machine Learning/009 What Type of Problem.mp4
47.03MB
02 Algorithm Overview/010 How K-Nearest Neighbor Works.mp4
93.32MB
02 Algorithm Overview/011 Lodash Review.mp4
64.93MB
02 Algorithm Overview/012 Implementing KNN.mp4
59.34MB
02 Algorithm Overview/013 Finishing KNN Implementation.mp4
50.28MB
02 Algorithm Overview/014 Testing the Algorithm.mp4
44.96MB
02 Algorithm Overview/015 Interpreting Bad Results.mp4
40.75MB
02 Algorithm Overview/016 Test and Training Data.mp4
45.2MB
02 Algorithm Overview/017 Randomizing Test Data.mp4
36MB
02 Algorithm Overview/018 Generalizing KNN.mp4
38.99MB
02 Algorithm Overview/019 Gauging Accuracy.mp4
54.01MB
02 Algorithm Overview/020 Printing a Report.mp4
33.29MB
02 Algorithm Overview/021 Refactoring Accuracy Reporting.mp4
52.3MB
02 Algorithm Overview/022 Investigating Optimal K Values.mp4
129.13MB
02 Algorithm Overview/023 Updating KNN for Multiple Features.mp4
70.61MB
02 Algorithm Overview/024 Multi-Dimensional KNN.mp4
44.2MB
02 Algorithm Overview/025 N-Dimension Distance.mp4
78.87MB
02 Algorithm Overview/026 Arbitrary Feature Spaces.mp4
71.25MB
02 Algorithm Overview/027 Magnitude Offsets in Features.mp4
64.06MB
02 Algorithm Overview/028 Feature Normalization.mp4
72.91MB
02 Algorithm Overview/029 Normalization with MinMax.mp4
67.04MB
02 Algorithm Overview/030 Applying Normalization.mp4
45.35MB
02 Algorithm Overview/031 Feature Selection with KNN.mp4
80.36MB
02 Algorithm Overview/032 Objective Feature Picking.mp4
65.97MB
02 Algorithm Overview/033 Evaluating Different Feature Values.mp4
27.97MB
03 Onwards to Tensorflow JS/034 Lets Get Our Bearings.mp4
76.61MB
03 Onwards to Tensorflow JS/035 A Plan to Move Forward.mp4
48.65MB
03 Onwards to Tensorflow JS/036 Tensor Shape and Dimension.mp4
114.28MB
03 Onwards to Tensorflow JS/037 Elementwise Operations.mp4
58.36MB
03 Onwards to Tensorflow JS/038 Broadcasting Operations.mp4
62.05MB
03 Onwards to Tensorflow JS/039 Logging Tensor Data.mp4
26MB
03 Onwards to Tensorflow JS/040 Tensor Accessors.mp4
30.46MB
03 Onwards to Tensorflow JS/041 Creating Slices of Data.mp4
58.91MB
03 Onwards to Tensorflow JS/042 Tensor Concatenation.mp4
44.13MB
03 Onwards to Tensorflow JS/043 Summing Values Along an Axis.mp4
41.36MB
03 Onwards to Tensorflow JS/044 Massaging Dimensions with ExpandDims.mp4
57.01MB
04 Applications of Tensorflow/045 KNN with Regression.mp4
54.98MB
04 Applications of Tensorflow/046 A Change in Data Structure.mp4
41.34MB
04 Applications of Tensorflow/047 KNN with Tensorflow.mp4
78.71MB
04 Applications of Tensorflow/048 Maintaining Order Relationships.mp4
57.75MB
04 Applications of Tensorflow/049 Sorting Tensors.mp4
62.84MB
04 Applications of Tensorflow/050 Averaging Top Values.mp4
58.13MB
04 Applications of Tensorflow/051 Moving to the Editor.mp4
34.33MB
04 Applications of Tensorflow/052 Loading CSV Data.mp4
89.32MB
04 Applications of Tensorflow/053 Running an Analysis.mp4
52.5MB
04 Applications of Tensorflow/054 Reporting Error Percentages.mp4
64.49MB
04 Applications of Tensorflow/055 Normalization or Standardization.mp4
92.97MB
04 Applications of Tensorflow/056 Numerical Standardization with Tensorflow.mp4
53.05MB
04 Applications of Tensorflow/057 Applying Standardization.mp4
41.46MB
04 Applications of Tensorflow/058 Debugging Calculations.mp4
86.71MB
04 Applications of Tensorflow/059 What Now.mp4
42.32MB
05 Getting Started with Gradient Descent/060 Linear Regression.mp4
25.38MB
05 Getting Started with Gradient Descent/061 Why Linear Regression.mp4
50.34MB
05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4
126.76MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4
93.46MB
05 Getting Started with Gradient Descent/064 Observations Around MSE.mp4
56.11MB
05 Getting Started with Gradient Descent/065 Derivatives.mp4
77.95MB
05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4
115.35MB
05 Getting Started with Gradient Descent/067 Quick Breather and Review.mp4
65.79MB
05 Getting Started with Gradient Descent/068 Why a Learning Rate.mp4
187.28MB
05 Getting Started with Gradient Descent/069 Answering Common Questions.mp4
40.94MB
05 Getting Started with Gradient Descent/070 Gradient Descent with Multiple Terms.mp4
44.19MB
05 Getting Started with Gradient Descent/071 Multiple Terms in Action.mp4
123.15MB
06 Gradient Descent with Tensorflow/072 Project Overview.mp4
57.04MB
06 Gradient Descent with Tensorflow/073 Data Loading.mp4
43.48MB
06 Gradient Descent with Tensorflow/074 Default Algorithm Options.mp4
62.66MB
06 Gradient Descent with Tensorflow/075 Formulating the Training Loop.mp4
27.67MB
06 Gradient Descent with Tensorflow/076 Initial Gradient Descent Implementation.mp4
87.92MB
06 Gradient Descent with Tensorflow/077 Calculating MSE Slopes.mp4
67.13MB
06 Gradient Descent with Tensorflow/078 Updating Coefficients.mp4
33.86MB
06 Gradient Descent with Tensorflow/079 Interpreting Results.mp4
101.71MB
06 Gradient Descent with Tensorflow/080 Matrix Multiplication.mp4
67.46MB
06 Gradient Descent with Tensorflow/081 More on Matrix Multiplication.mp4
63.24MB
06 Gradient Descent with Tensorflow/082 Matrix Form of Slope Equations.mp4
59.6MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4
90.79MB
06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4
143.82MB
07 Increasing Performance with Vectorized Solutions/085 Refactoring the Linear Regression Class.mp4
72.71MB
07 Increasing Performance with Vectorized Solutions/086 Refactoring to One Equation.mp4
84.8MB
07 Increasing Performance with Vectorized Solutions/087 A Few More Changes.mp4
66.16MB
07 Increasing Performance with Vectorized Solutions/088 Same Results Or Not.mp4
33.83MB
07 Increasing Performance with Vectorized Solutions/089 Calculating Model Accuracy.mp4
80.36MB
07 Increasing Performance with Vectorized Solutions/090 Implementing Coefficient of Determination.mp4
75.78MB
07 Increasing Performance with Vectorized Solutions/091 Dealing with Bad Accuracy.mp4
71.41MB
07 Increasing Performance with Vectorized Solutions/092 Reminder on Standardization.mp4
44.49MB
07 Increasing Performance with Vectorized Solutions/093 Data Processing in a Helper Method.mp4
37.17MB
07 Increasing Performance with Vectorized Solutions/094 Reapplying Standardization.mp4
57.96MB
07 Increasing Performance with Vectorized Solutions/095 Fixing Standardization Issues.mp4
47.84MB
07 Increasing Performance with Vectorized Solutions/096 Massaging Learning Rates.mp4
36.44MB
07 Increasing Performance with Vectorized Solutions/097 Moving Towards Multivariate Regression.mp4
121.42MB
07 Increasing Performance with Vectorized Solutions/098 Refactoring for Multivariate Analysis.mp4
82.35MB
07 Increasing Performance with Vectorized Solutions/099 Learning Rate Optimization.mp4
76.69MB
07 Increasing Performance with Vectorized Solutions/100 Recording MSE History.mp4
51.94MB
07 Increasing Performance with Vectorized Solutions/101 Updating Learning Rate.mp4
62.14MB
08 Plotting Data with Javascript/102 Observing Changing Learning Rate and MSE.mp4
45.83MB
08 Plotting Data with Javascript/103 Plotting MSE Values.mp4
61.39MB
08 Plotting Data with Javascript/104 Plotting MSE History against B Values.mp4
47.8MB
09 Gradient Descent Alterations/105 Batch and Stochastic Gradient Descent.mp4
77.23MB
09 Gradient Descent Alterations/106 Refactoring Towards Batch Gradient Descent.mp4
55.11MB
09 Gradient Descent Alterations/107 Determining Batch Size and Quantity.mp4
66.08MB
09 Gradient Descent Alterations/108 Iterating Over Batches.mp4
67.45MB
09 Gradient Descent Alterations/109 Evaluating Batch Gradient Descent Results.mp4
66.23MB
09 Gradient Descent Alterations/110 Making Predictions with the Model.mp4
79.49MB
10 Natural Binary Classification/111 Introducing Logistic Regression.mp4
23.44MB
10 Natural Binary Classification/112 Logistic Regression in Action.mp4
61.07MB
10 Natural Binary Classification/113 Bad Equation Fits.mp4
55.39MB
10 Natural Binary Classification/114 The Sigmoid Equation.mp4
45.44MB
10 Natural Binary Classification/115 Decision Boundaries.mp4
79.18MB
10 Natural Binary Classification/116 Changes for Logistic Regression.mp4
12.49MB
10 Natural Binary Classification/117 Project Setup for Logistic Regression.mp4
59.4MB
10 Natural Binary Classification/119 Importing Vehicle Data.mp4
38.95MB
10 Natural Binary Classification/120 Encoding Label Values.mp4
48.58MB
10 Natural Binary Classification/121 Updating Linear Regression for Logistic Regression.mp4
70.29MB
10 Natural Binary Classification/122 The Sigmoid Equation with Logistic Regression.mp4
32.77MB
10 Natural Binary Classification/123 A Touch More Refactoring.mp4
87.42MB
10 Natural Binary Classification/124 Gauging Classification Accuracy.mp4
36.7MB
10 Natural Binary Classification/125 Implementing a Test Function.mp4
54.71MB
10 Natural Binary Classification/126 Variable Decision Boundaries.mp4
68.31MB
10 Natural Binary Classification/127 Mean Squared Error vs Cross Entropy.mp4
60.2MB
10 Natural Binary Classification/128 Refactoring with Cross Entropy.mp4
49.45MB
10 Natural Binary Classification/129 Finishing the Cost Refactor.mp4
49.09MB
10 Natural Binary Classification/130 Plotting Changing Cost History.mp4
42.95MB
11 Multi-Value Classification/131 Multinominal Logistic Regression.mp4
25MB
11 Multi-Value Classification/132 A Smart Refactor to Multinominal Analysis.mp4
49.97MB
11 Multi-Value Classification/133 A Smarter Refactor.mp4
38.29MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4
103.55MB
11 Multi-Value Classification/135 Refactoring to Multi-Column Weights.mp4
48.49MB
11 Multi-Value Classification/136 A Problem to Test Multinominal Classification.mp4
48.45MB
11 Multi-Value Classification/137 Classifying Continuous Values.mp4
44.55MB
11 Multi-Value Classification/138 Training a Multinominal Model.mp4
66.08MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4
95.18MB
11 Multi-Value Classification/140 Sigmoid vs Softmax.mp4
62.75MB
11 Multi-Value Classification/141 Refactoring Sigmoid to Softmax.mp4
48.87MB
11 Multi-Value Classification/142 Implementing Accuracy Gauges.mp4
28.71MB
11 Multi-Value Classification/143 Calculating Accuracy.mp4
31.3MB
12 Image Recognition In Action/144 Handwriting Recognition.mp4
24.69MB
12 Image Recognition In Action/145 Greyscale Values.mp4
55.34MB
12 Image Recognition In Action/146 Many Features.mp4
44.76MB
12 Image Recognition In Action/147 Flattening Image Data.mp4
57.76MB
12 Image Recognition In Action/148 Encoding Label Values.mp4
62MB
12 Image Recognition In Action/149 Implementing an Accuracy Gauge.mp4
79.94MB
12 Image Recognition In Action/150 Unchanging Accuracy.mp4
20.3MB
12 Image Recognition In Action/151 Debugging the Calculation Process.mp4
89.04MB
12 Image Recognition In Action/152 Dealing with Zero Variances.mp4
47.9MB
12 Image Recognition In Action/153 Backfilling Variance.mp4
25.72MB
13 Performance Optimization/154 Handing Large Datasets.mp4
44.46MB
13 Performance Optimization/155 Minimizing Memory Usage.mp4
38.18MB
13 Performance Optimization/156 Creating Memory Snapshots.mp4
49.05MB
13 Performance Optimization/157 The Javascript Garbage Collector.mp4
55.8MB
13 Performance Optimization/158 Shallow vs Retained Memory Usage.mp4
56.89MB
13 Performance Optimization/159 Measuring Memory Usage.mp4
96.63MB
13 Performance Optimization/160 Releasing References.mp4
35.98MB
13 Performance Optimization/161 Measuring Footprint Reduction.mp4
43.3MB
13 Performance Optimization/162 Optimization Tensorflow Memory Usage.mp4
18.53MB
13 Performance Optimization/163 Tensorflows Eager Memory Usage.mp4
46.81MB
13 Performance Optimization/164 Cleaning up Tensors with Tidy.mp4
24.26MB
13 Performance Optimization/165 Implementing TF Tidy.mp4
37.59MB
13 Performance Optimization/166 Tidying the Training Loop.mp4
45.99MB
13 Performance Optimization/167 Measuring Reduced Memory Usage.mp4
18.11MB
13 Performance Optimization/168 One More Optimization.mp4
27.49MB
13 Performance Optimization/169 Final Memory Report.mp4
36.24MB
13 Performance Optimization/170 Plotting Cost History.mp4
47.59MB
13 Performance Optimization/171 NaN in Cost History.mp4
46.37MB
13 Performance Optimization/172 Fixing Cost History.mp4
46.77MB
13 Performance Optimization/173 Massaging Learning Parameters.mp4
22.55MB
13 Performance Optimization/174 Improving Model Accuracy.mp4
55.01MB
14 Appendix Custom CSV Loader/175 Loading CSV Files.mp4
15.85MB
14 Appendix Custom CSV Loader/176 A Test Dataset.mp4
9.58MB
14 Appendix Custom CSV Loader/177 Reading Files from Disk.mp4
18.59MB
14 Appendix Custom CSV Loader/178 Splitting into Columns.mp4
20.34MB
14 Appendix Custom CSV Loader/179 Dropping Trailing Columns.mp4
18.4MB
14 Appendix Custom CSV Loader/180 Parsing Number Values.mp4
31.36MB
14 Appendix Custom CSV Loader/181 Custom Value Parsing.mp4
36.72MB
14 Appendix Custom CSV Loader/182 Extracting Data Columns.mp4
57.27MB
14 Appendix Custom CSV Loader/183 Shuffling Data via Seed Phrase.mp4
52.14MB
14 Appendix Custom CSV Loader/184 Splitting Test and Training.mp4
75.65MB
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