FreeTutorials Eu Udemy machine learning with javascript | D405DD907319ECEFCABC95E47ABC2A8238EF6766

FreeTutorials Eu Udemy machine learning with javascript

Name	[FreeTutorials.Eu] Udemy - machine-learning-with-javascript	DOWNLOAD Copy Link
Total Size	10.8 GB
Total Files	371
Hash	D405DD907319ECEFCABC95E47ABC2A8238EF6766

/01 What is Machine Learning/
001 Getting Started - How to Get Help-en.srt	1.8 KB
001 Getting Started - How to Get Help.mp4	8.8 MB
002 Solving Machine Learning Problems-en.srt	9.5 KB
002 Solving Machine Learning Problems.mp4	65.8 MB
003 A Complete Walkthrough-en.srt	15.5 KB
003 A Complete Walkthrough.mp4	114.4 MB
004 App Setup-en.srt	3.5 KB
004 App Setup.mp4	20.2 MB
005 Problem Outline-en.srt	5.0 KB
005 Problem Outline.mp4	32.7 MB
006 Identifying Relevant Data-en.srt	6.8 KB
006 Identifying Relevant Data.mp4	35.6 MB
007 Dataset Structures-en.srt	9.4 KB
007 Dataset Structures.mp4	50.6 MB
008 Recording Observation Data-en.srt	6.2 KB
008 Recording Observation Data.mp4	34.3 MB
009 What Type of Problem-en.srt	7.8 KB
009 What Type of Problem.mp4	49.3 MB
/02 Algorithm Overview/
010 How K-Nearest Neighbor Works-en.srt	13.3 KB
010 How K-Nearest Neighbor Works.mp4	97.9 MB
011 Lodash Review-en.srt	15.6 KB
011 Lodash Review.mp4	68.1 MB
012 Implementing KNN-en.srt	10.8 KB
012 Implementing KNN.mp4	62.2 MB
013 Finishing KNN Implementation-en.srt	9.0 KB
013 Finishing KNN Implementation.mp4	52.7 MB
014 Testing the Algorithm-en.srt	7.3 KB
014 Testing the Algorithm.mp4	47.1 MB
015 Interpreting Bad Results-en.srt	6.6 KB
015 Interpreting Bad Results.mp4	42.7 MB
016 Test and Training Data-en.srt	6.2 KB
016 Test and Training Data.mp4	47.4 MB
017 Randomizing Test Data-en.srt	5.8 KB
017 Randomizing Test Data.mp4	37.7 MB
018 Generalizing KNN-en.srt	5.8 KB
018 Generalizing KNN.mp4	40.9 MB
019 Gauging Accuracy-en.srt	8.2 KB
019 Gauging Accuracy.mp4	56.6 MB
020 Printing a Report-en.srt	5.1 KB
020 Printing a Report.mp4	34.9 MB
021 Refactoring Accuracy Reporting-en.srt	7.8 KB
021 Refactoring Accuracy Reporting.mp4	54.8 MB
022 Investigating Optimal K Values-en.srt	18.5 KB
022 Investigating Optimal K Values.mp4	135.4 MB
023 Updating KNN for Multiple Features-en.srt	10.5 KB
023 Updating KNN for Multiple Features.mp4	74.0 MB
024 Multi-Dimensional KNN-en.srt	6.5 KB
024 Multi-Dimensional KNN.mp4	46.4 MB
025 N-Dimension Distance-en.srt	15.6 KB
025 N-Dimension Distance.mp4	82.7 MB
026 Arbitrary Feature Spaces-en.srt	13.7 KB
026 Arbitrary Feature Spaces.mp4	74.7 MB
027 Magnitude Offsets in Features-en.srt	8.9 KB
027 Magnitude Offsets in Features.mp4	67.2 MB
028 Feature Normalization-en.srt	11.9 KB
028 Feature Normalization.mp4	76.4 MB
029 Normalization with MinMax-en.srt	10.6 KB
029 Normalization with MinMax.mp4	70.3 MB
030 Applying Normalization-en.srt	7.1 KB
030 Applying Normalization.mp4	47.6 MB
031 Feature Selection with KNN-en.srt	13.0 KB
031 Feature Selection with KNN.mp4	84.3 MB
032 Objective Feature Picking-en.srt	9.6 KB
032 Objective Feature Picking.mp4	69.2 MB
033 Evaluating Different Feature Values-en.srt	4.3 KB
033 Evaluating Different Feature Values.mp4	29.3 MB
/03 Onwards to Tensorflow JS/
034 Lets Get Our Bearings-en.srt	12.6 KB
034 Lets Get Our Bearings.mp4	80.3 MB
035 A Plan to Move Forward-en.srt	7.9 KB
035 A Plan to Move Forward.mp4	51.0 MB
036 Tensor Shape and Dimension-en.srt	19.5 KB
036 Tensor Shape and Dimension.mp4	119.8 MB
037 Elementwise Operations-en.srt	12.2 KB
037 Elementwise Operations.mp4	61.2 MB
038 Broadcasting Operations-en.srt	11.0 KB
038 Broadcasting Operations.mp4	65.1 MB
039 Logging Tensor Data-en.srt	6.4 KB
039 Logging Tensor Data.mp4	27.3 MB
040 Tensor Accessors-en.srt	8.8 KB
040 Tensor Accessors.mp4	31.9 MB
041 Creating Slices of Data-en.srt	11.9 KB
041 Creating Slices of Data.mp4	61.8 MB
042 Tensor Concatenation-en.srt	8.7 KB
042 Tensor Concatenation.mp4	46.3 MB
043 Summing Values Along an Axis-en.srt	8.5 KB
043 Summing Values Along an Axis.mp4	43.4 MB
044 Massaging Dimensions with ExpandDims-en.srt	12.6 KB
044 Massaging Dimensions with ExpandDims.mp4	59.8 MB
/04 Applications of Tensorflow/
045 KNN with Regression-en.srt	8.2 KB
045 KNN with Regression.mp4	57.6 MB
046 A Change in Data Structure-en.srt	6.7 KB
046 A Change in Data Structure.mp4	43.4 MB
047 KNN with Tensorflow-en.srt	15.3 KB
047 KNN with Tensorflow.mp4	82.5 MB
048 Maintaining Order Relationships-en.srt	10.9 KB
048 Maintaining Order Relationships.mp4	60.6 MB
049 Sorting Tensors-en.srt	12.4 KB
049 Sorting Tensors.mp4	65.9 MB
050 Averaging Top Values-en.srt	12.1 KB
050 Averaging Top Values.mp4	61.0 MB
051 Moving to the Editor-en.srt	5.4 KB
051 Moving to the Editor.mp4	36.0 MB
052 Loading CSV Data-en.srt	15.4 KB
052 Loading CSV Data.mp4	93.7 MB
053 Running an Analysis-en.srt	9.6 KB
053 Running an Analysis.mp4	55.0 MB
054 Reporting Error Percentages-en.srt	9.5 KB
054 Reporting Error Percentages.mp4	67.6 MB
055 Normalization or Standardization-en.srt	12.0 KB
055 Normalization or Standardization.mp4	97.5 MB
056 Numerical Standardization with Tensorflow-en.srt	12.1 KB
056 Numerical Standardization with Tensorflow.mp4	55.6 MB
057 Applying Standardization-en.srt	6.3 KB
057 Applying Standardization.mp4	43.5 MB
058 Debugging Calculations-en.srt	13.3 KB
058 Debugging Calculations.mp4	90.9 MB
059 What Now-en.srt	6.5 KB
059 What Now.mp4	44.4 MB
/05 Getting Started with Gradient Descent/
060 Linear Regression-en.srt	4.6 KB
060 Linear Regression.mp4	26.6 MB
061 Why Linear Regression-en.srt	7.8 KB
061 Why Linear Regression.mp4	52.8 MB
062 Understanding Gradient Descent-en.srt	19.9 KB
062 Understanding Gradient Descent.mp4	132.9 MB
063 Guessing Coefficients with MSE-en.srt	15.8 KB
063 Guessing Coefficients with MSE.mp4	98.0 MB
064 Observations Around MSE-en.srt	9.5 KB
064 Observations Around MSE.mp4	58.8 MB
065 Derivatives-en.srt	11.2 KB
065 Derivatives.mp4	81.7 MB
066 Gradient Descent in Action-en.srt	18.9 KB
066 Gradient Descent in Action.mp4	121.0 MB
067 Quick Breather and Review-en.srt	9.4 KB
067 Quick Breather and Review.mp4	69.0 MB
068 Why a Learning Rate-en.srt	26.6 KB
068 Why a Learning Rate.mp4	196.4 MB
069 Answering Common Questions-en.srt	6.1 KB
069 Answering Common Questions.mp4	42.9 MB
070 Gradient Descent with Multiple Terms-en.srt	7.6 KB
070 Gradient Descent with Multiple Terms.mp4	46.3 MB
071 Multiple Terms in Action-en.srt	16.9 KB
071 Multiple Terms in Action.mp4	129.1 MB
/06 Gradient Descent with Tensorflow/
072 Project Overview-en.srt	9.7 KB
072 Project Overview.mp4	59.8 MB
073 Data Loading-en.srt	8.0 KB
073 Data Loading.mp4	45.6 MB
074 Default Algorithm Options-en.srt	13.0 KB
074 Default Algorithm Options.mp4	65.7 MB
075 Formulating the Training Loop-en.srt	5.2 KB
075 Formulating the Training Loop.mp4	29.0 MB
076 Initial Gradient Descent Implementation-en.srt	14.6 KB
076 Initial Gradient Descent Implementation.mp4	92.2 MB
077 Calculating MSE Slopes-en.srt	9.9 KB
077 Calculating MSE Slopes.mp4	70.4 MB
078 Updating Coefficients-en.srt	5.1 KB
078 Updating Coefficients.mp4	35.5 MB
079 Interpreting Results-en.srt	15.8 KB
079 Interpreting Results.mp4	106.7 MB
080 Matrix Multiplication-en.srt	11.6 KB
080 Matrix Multiplication.mp4	70.7 MB
081 More on Matrix Multiplication-en.srt	9.7 KB
081 More on Matrix Multiplication.mp4	66.3 MB
082 Matrix Form of Slope Equations-en.srt	9.8 KB
082 Matrix Form of Slope Equations.mp4	62.5 MB
083 Simplification with Matrix Multiplication-en.srt	14.8 KB
083 Simplification with Matrix Multiplication.mp4	95.2 MB
084 How it All Works Together-en.srt	21.4 KB
084 How it All Works Together.mp4	150.8 MB
/07 Increasing Performance with Vectorized Solutions/
085 Refactoring the Linear Regression Class-en.srt	11.9 KB
085 Refactoring the Linear Regression Class.mp4	76.2 MB
086 Refactoring to One Equation-en.srt	14.2 KB
086 Refactoring to One Equation.mp4	88.9 MB
087 A Few More Changes-en.srt	10.3 KB
087 A Few More Changes.mp4	69.4 MB
088 Same Results Or Not-en.srt	5.6 KB
088 Same Results Or Not.mp4	35.5 MB
089 Calculating Model Accuracy-en.srt	13.6 KB
089 Calculating Model Accuracy.mp4	84.3 MB
090 Implementing Coefficient of Determination-en.srt	12.0 KB
090 Implementing Coefficient of Determination.mp4	79.5 MB
091 Dealing with Bad Accuracy-en.srt	12.2 KB
091 Dealing with Bad Accuracy.mp4	74.9 MB
092 Reminder on Standardization-en.srt	7.1 KB
092 Reminder on Standardization.mp4	46.6 MB
093 Data Processing in a Helper Method-en.srt	5.7 KB
093 Data Processing in a Helper Method.mp4	39.0 MB
094 Reapplying Standardization-en.srt	8.7 KB
094 Reapplying Standardization.mp4	60.8 MB
095 Fixing Standardization Issues-en.srt	9.2 KB
095 Fixing Standardization Issues.mp4	50.2 MB
096 Massaging Learning Rates-en.srt	4.8 KB
096 Massaging Learning Rates.mp4	38.2 MB
097 Moving Towards Multivariate Regression-en.srt	18.6 KB
097 Moving Towards Multivariate Regression.mp4	127.3 MB
098 Refactoring for Multivariate Analysis-en.srt	12.2 KB
098 Refactoring for Multivariate Analysis.mp4	86.4 MB
099 Learning Rate Optimization-en.srt	12.8 KB
099 Learning Rate Optimization.mp4	80.4 MB
100 Recording MSE History-en.srt	8.3 KB
100 Recording MSE History.mp4	54.5 MB
101 Updating Learning Rate-en.srt	10.3 KB
101 Updating Learning Rate.mp4	65.2 MB
/08 Plotting Data with Javascript/
102 Observing Changing Learning Rate and MSE-en.srt	7.0 KB
102 Observing Changing Learning Rate and MSE.mp4	48.1 MB
103 Plotting MSE Values-en.srt	8.4 KB
103 Plotting MSE Values.mp4	64.4 MB
104 Plotting MSE History against B Values-en.srt	7.2 KB
104 Plotting MSE History against B Values.mp4	50.1 MB
/09 Gradient Descent Alterations/
105 Batch and Stochastic Gradient Descent-en.srt	11.7 KB
105 Batch and Stochastic Gradient Descent.mp4	81.0 MB
106 Refactoring Towards Batch Gradient Descent-en.srt	8.2 KB
106 Refactoring Towards Batch Gradient Descent.mp4	57.8 MB
107 Determining Batch Size and Quantity-en.srt	9.0 KB
107 Determining Batch Size and Quantity.mp4	69.3 MB
108 Iterating Over Batches-en.srt	12.4 KB
108 Iterating Over Batches.mp4	70.7 MB
109 Evaluating Batch Gradient Descent Results-en.srt	9.3 KB
109 Evaluating Batch Gradient Descent Results.mp4	69.5 MB
110 Making Predictions with the Model-en.srt	12.2 KB
110 Making Predictions with the Model.mp4	83.3 MB
/10 Natural Binary Classification/
111 Introducing Logistic Regression-en.srt	4.0 KB
111 Introducing Logistic Regression.mp4	24.6 MB
112 Logistic Regression in Action-en.srt	11.1 KB
112 Logistic Regression in Action.mp4	64.0 MB
113 Bad Equation Fits-en.srt	8.8 KB
113 Bad Equation Fits.mp4	58.1 MB
114 The Sigmoid Equation-en.srt	7.4 KB
114 The Sigmoid Equation.mp4	47.7 MB
115 Decision Boundaries-en.srt	12.2 KB
115 Decision Boundaries.mp4	83.0 MB
116 Changes for Logistic Regression-en.srt	2.0 KB
116 Changes for Logistic Regression.mp4	13.1 MB
117 Project Setup for Logistic Regression-en.srt	9.5 KB
117 Project Setup for Logistic Regression.mp4	62.3 MB
118 Project Download.html	1.1 KB
118 regressions.zip	35.1 KB
119 Importing Vehicle Data-en.srt	6.8 KB
119 Importing Vehicle Data.mp4	40.8 MB
120 Encoding Label Values-en.srt	7.0 KB
120 Encoding Label Values.mp4	50.9 MB
121 Updating Linear Regression fro Logistic Regression-en.srt	11.4 KB
121 Updating Linear Regression fro Logistic Regression.mp4	73.7 MB
122 The Sigmoid Equation with Logistic Regression-en.srt	6.9 KB
122 The Sigmoid Equation with Logistic Regression.mp4	34.4 MB
123 A Touch More Refactoring-en.srt	12.1 KB
123 A Touch More Refactoring.mp4	91.7 MB
124 Gauging Classification Accuracy-en.srt	5.6 KB
124 Gauging Classification Accuracy.mp4	38.5 MB
125 Implementing a Test Function-en.srt	8.8 KB
125 Implementing a Test Function.mp4	57.4 MB
126 Variable Decision Boundaries-en.srt	11.7 KB
126 Variable Decision Boundaries.mp4	71.6 MB
127 Mean Squared Error vs Cross Entropy-en.srt	9.1 KB
127 Mean Squared Error vs Cross Entropy.mp4	63.1 MB
128 Refactoring with Cross Entropy-en.srt	8.4 KB
128 Refactoring with Cross Entropy.mp4	51.8 MB
129 Finishing the Cost Refactor-en.srt	7.0 KB
129 Finishing the Cost Refactor.mp4	51.5 MB
130 Plotting Changing Cost History-en.srt	5.8 KB
130 Plotting Changing Cost History.mp4	45.0 MB
/11 Multi-Value Classification/
131 Multinominal Logistic Regression-en.srt	3.7 KB
131 Multinominal Logistic Regression.mp4	26.2 MB
132 A Smart Refactor to Multinominal Analysis-en.srt	8.4 KB
132 A Smart Refactor to Multinominal Analysis.mp4	52.4 MB
133 A Smarter Refactor-en.srt	6.1 KB
133 A Smarter Refactor.mp4	40.2 MB
134 A Single Instance Approach-en.srt	15.7 KB
134 A Single Instance Approach.mp4	108.6 MB
135 Refactoring to Multi-Column Weights-en.srt	7.8 KB
135 Refactoring to Multi-Column Weights.mp4	50.8 MB
136 A Problem to Test Multinominal Classification-en.srt	7.3 KB
136 A Problem to Test Multinominal Classification.mp4	50.8 MB
137 Classifying Continuous Values-en.srt	7.2 KB
137 Classifying Continuous Values.mp4	46.7 MB
138 Training a Multinominal Model-en.srt	10.1 KB
138 Training a Multinominal Model.mp4	69.3 MB
139 Marginal vs Conditional Probability-en.srt	16.4 KB
139 Marginal vs Conditional Probability.mp4	99.8 MB
140 Sigmoid vs Softmax-en.srt	10.1 KB
140 Sigmoid vs Softmax.mp4	65.8 MB
141 Refactoring Sigmoid to Softmax-en.srt	7.7 KB
141 Refactoring Sigmoid to Softmax.mp4	51.2 MB
142 Implementing Accuracy Gauges-en.srt	4.4 KB
142 Implementing Accuracy Gauges.mp4	30.1 MB
143 Calculating Accuracy-en.srt	5.2 KB
143 Calculating Accuracy.mp4	32.8 MB
/12 Image Recognition In Action/
144 Handwriting Recognition-en.srt	3.7 KB
144 Handwriting Recognition.mp4	25.9 MB
145 Greyscale Values-en.srt	8.1 KB
145 Greyscale Values.mp4	58.0 MB
146 Many Features-en.srt	5.5 KB
146 Many Features.mp4	46.9 MB
147 Flattening Image Data-en.srt	9.0 KB
147 Flattening Image Data.mp4	60.6 MB
148 Encoding Label Values-en.srt	8.7 KB
148 Encoding Label Values.mp4	65.0 MB
149 Implementing an Accuracy Gauge-en.srt	11.7 KB
149 Implementing an Accuracy Gauge.mp4	83.8 MB
150 Unchanging Accuracy-en.srt	3.3 KB
150 Unchanging Accuracy.mp4	21.3 MB
151 Debugging the Calculation Process-en.srt	13.3 KB
151 Debugging the Calculation Process.mp4	93.4 MB
152 Dealing with Zero Variances-en.srt	10.2 KB
152 Dealing with Zero Variances.mp4	50.2 MB
153 Backfilling Variance-en.srt	4.2 KB
153 Backfilling Variance.mp4	27.0 MB
/13 Performance Optimization/
154 Handing Large Datasets-en.srt	7.2 KB
154 Handing Large Datasets.mp4	46.6 MB
155 Minimizing Memory Usage-en.srt	7.7 KB
155 Minimizing Memory Usage.mp4	40.0 MB
156 Creating Memory Snapshots-en.srt	8.4 KB
156 Creating Memory Snapshots.mp4	51.4 MB
157 The Javascript Garbage Collector-en.srt	10.4 KB
157 The Javascript Garbage Collector.mp4	58.5 MB
158 Shallow vs Retained Memory Usage-en.srt	9.3 KB
158 Shallow vs Retained Memory Usage.mp4	59.7 MB
159 Measuring Memory Usage-en.srt	14.2 KB
159 Measuring Memory Usage.mp4	101.3 MB
160 Releasing References-en.srt	5.1 KB
160 Releasing References.mp4	37.7 MB
161 Measuring Footprint Reduction-en.srt	6.4 KB
161 Measuring Footprint Reduction.mp4	45.4 MB
162 Optimization Tensorflow Memory Usage-en.srt	2.7 KB
162 Optimization Tensorflow Memory Usage.mp4	19.4 MB
163 Tensorflows Eager Memory Usage-en.srt	7.1 KB
163 Tensorflows Eager Memory Usage.mp4	49.1 MB
164 Cleaning up Tensors with Tidy-en.srt	4.5 KB
164 Cleaning up Tensors with Tidy.mp4	25.4 MB
165 Implementing TF Tidy-en.srt	5.5 KB
165 Implementing TF Tidy.mp4	39.4 MB
166 Tidying the Training Loop-en.srt	6.4 KB
166 Tidying the Training Loop.mp4	48.2 MB
167 Measuring Reduced Memory Usage-en.srt	2.5 KB
167 Measuring Reduced Memory Usage.mp4	19.0 MB
168 One More Optimization-en.srt	3.8 KB
168 One More Optimization.mp4	28.8 MB
169 Final Memory Report-en.srt	4.6 KB
169 Final Memory Report.mp4	38.0 MB
170 Plotting Cost History-en.srt	6.8 KB
170 Plotting Cost History.mp4	49.9 MB
171 NaN in Cost History-en.srt	7.1 KB
171 NaN in Cost History.mp4	48.6 MB
172 Fixing Cost History-en.srt	7.3 KB
172 Fixing Cost History.mp4	49.0 MB
173 Massaging Learning Parameters-en.srt	2.8 KB
173 Massaging Learning Parameters.mp4	23.6 MB
174 Improving Model Accuracy-en.srt	6.9 KB
174 Improving Model Accuracy.mp4	57.7 MB
/14 Appendix Custom CSV Loader/
175 Loading CSV Files-en.srt	3.5 KB
175 Loading CSV Files.mp4	16.6 MB
176 A Test Dataset-en.srt	3.0 KB
176 A Test Dataset.mp4	10.0 MB
177 Reading Files from Disk-en.srt	4.5 KB
177 Reading Files from Disk.mp4	19.5 MB
178 Splitting into Columns-en.srt	4.4 KB
178 Splitting into Columns.mp4	21.3 MB
179 Dropping Trailing Columns-en.srt	4.0 KB
179 Dropping Trailing Columns.mp4	19.3 MB
180 Parsing Number Values-en.srt	5.6 KB
180 Parsing Number Values.mp4	32.9 MB
181 Custom Value Parsing-en.srt	6.7 KB
181 Custom Value Parsing.mp4	38.5 MB
182 Extracting Data Columns-en.srt	7.9 KB
182 Extracting Data Columns.mp4	60.0 MB
183 Shuffling Data via Seed Phrase-en.srt	8.7 KB
183 Shuffling Data via Seed Phrase.mp4	54.7 MB
184 Splitting Test and Training-en.srt	12.3 KB
184 Splitting Test and Training.mp4	79.3 MB
/
[FreeCoursesOnline.Me].url	0.1 KB
[FreeTutorials.Eu].url	0.1 KB
[FTU Forum].url	1.4 KB
Total files 371