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[FreeCourseSite.com] Udemy - Machine Learning with Javascript
magnet:?xt=urn:btih:44f562c8175106661ac3ea453e1d198043cd747a&dn=[FreeCourseSite.com] Udemy - Machine Learning with Javascript
磁力链接详情
Hash值:
44f562c8175106661ac3ea453e1d198043cd747a
点击数:
102
文件大小:
10.1 GB
文件数量:
183
创建日期:
2020-2-10 07:07
最后访问:
2024-7-20 23:28
访问标签:
FreeCourseSite
com
Udemy
-
Machine
Learning
with
Javascript
文件列表详情
1. What is Machine Learning/1. Getting Started - How to Get Help.mp4 8.36 MB
1. What is Machine Learning/2. Solving Machine Learning Problems.mp4 62.78 MB
1. What is Machine Learning/3. A Complete Walkthrough.mp4 109.14 MB
1. What is Machine Learning/4. App Setup.mp4 19.27 MB
1. What is Machine Learning/5. Problem Outline.mp4 31.22 MB
1. What is Machine Learning/6. Identifying Relevant Data.mp4 33.91 MB
1. What is Machine Learning/7. Dataset Structures.mp4 48.25 MB
1. What is Machine Learning/8. Recording Observation Data.mp4 32.74 MB
1. What is Machine Learning/9. What Type of Problem.mp4 47.04 MB
10. Natural Binary Classification/1. Introducing Logistic Regression.mp4 23.45 MB
10. Natural Binary Classification/10. Encoding Label Values.mp4 48.59 MB
10. Natural Binary Classification/11. Updating Linear Regression for Logistic Regression.mp4 70.29 MB
10. Natural Binary Classification/12. The Sigmoid Equation with Logistic Regression.mp4 32.78 MB
10. Natural Binary Classification/13. A Touch More Refactoring.mp4 87.43 MB
10. Natural Binary Classification/14. Gauging Classification Accuracy.mp4 36.71 MB
10. Natural Binary Classification/15. Implementing a Test Function.mp4 54.71 MB
10. Natural Binary Classification/16. Variable Decision Boundaries.mp4 68.32 MB
10. Natural Binary Classification/17. Mean Squared Error vs Cross Entropy.mp4 60.2 MB
10. Natural Binary Classification/18. Refactoring with Cross Entropy.mp4 49.46 MB
10. Natural Binary Classification/19. Finishing the Cost Refactor.mp4 49.1 MB
10. Natural Binary Classification/2. Logistic Regression in Action.mp4 61.07 MB
10. Natural Binary Classification/20. Plotting Changing Cost History.mp4 42.95 MB
10. Natural Binary Classification/3. Bad Equation Fits.mp4 55.39 MB
10. Natural Binary Classification/4. The Sigmoid Equation.mp4 45.45 MB
10. Natural Binary Classification/5. Decision Boundaries.mp4 79.18 MB
10. Natural Binary Classification/6. Changes for Logistic Regression.mp4 12.5 MB
10. Natural Binary Classification/7. Project Setup for Logistic Regression.mp4 59.41 MB
10. Natural Binary Classification/9. Importing Vehicle Data.mp4 38.96 MB
11. Multi-Value Classification/1. Multinominal Logistic Regression.mp4 25 MB
11. Multi-Value Classification/10. Sigmoid vs Softmax.mp4 62.76 MB
11. Multi-Value Classification/11. Refactoring Sigmoid to Softmax.mp4 48.88 MB
11. Multi-Value Classification/12. Implementing Accuracy Gauges.mp4 28.72 MB
11. Multi-Value Classification/13. Calculating Accuracy.mp4 31.31 MB
11. Multi-Value Classification/2. A Smart Refactor to Multinominal Analysis.mp4 49.97 MB
11. Multi-Value Classification/3. A Smarter Refactor!.mp4 38.3 MB
11. Multi-Value Classification/4. A Single Instance Approach.mp4 103.56 MB
11. Multi-Value Classification/5. Refactoring to Multi-Column Weights.mp4 48.5 MB
11. Multi-Value Classification/6. A Problem to Test Multinominal Classification.mp4 48.46 MB
11. Multi-Value Classification/7. Classifying Continuous Values.mp4 44.56 MB
11. Multi-Value Classification/8. Training a Multinominal Model.mp4 66.09 MB
11. Multi-Value Classification/9. Marginal vs Conditional Probability.mp4 95.19 MB
12. Image Recognition In Action/1. Handwriting Recognition.mp4 24.7 MB
12. Image Recognition In Action/10. Backfilling Variance.mp4 25.73 MB
12. Image Recognition In Action/2. Greyscale Values.mp4 55.35 MB
12. Image Recognition In Action/3. Many Features.mp4 44.77 MB
12. Image Recognition In Action/4. Flattening Image Data.mp4 57.77 MB
12. Image Recognition In Action/5. Encoding Label Values.mp4 62.01 MB
12. Image Recognition In Action/6. Implementing an Accuracy Gauge.mp4 79.95 MB
12. Image Recognition In Action/7. Unchanging Accuracy.mp4 20.3 MB
12. Image Recognition In Action/8. Debugging the Calculation Process.mp4 89.05 MB
12. Image Recognition In Action/9. Dealing with Zero Variances.mp4 47.91 MB
13. Performance Optimization/1. Handing Large Datasets.mp4 44.47 MB
13. Performance Optimization/10. Tensorflow's Eager Memory Usage.mp4 46.81 MB
13. Performance Optimization/11. Cleaning up Tensors with Tidy.mp4 24.27 MB
13. Performance Optimization/12. Implementing TF Tidy.mp4 37.6 MB
13. Performance Optimization/13. Tidying the Training Loop.mp4 45.99 MB
13. Performance Optimization/14. Measuring Reduced Memory Usage.mp4 18.12 MB
13. Performance Optimization/15. One More Optimization.mp4 27.5 MB
13. Performance Optimization/16. Final Memory Report.mp4 36.25 MB
13. Performance Optimization/17. Plotting Cost History.mp4 47.6 MB
13. Performance Optimization/18. NaN in Cost History.mp4 46.37 MB
13. Performance Optimization/19. Fixing Cost History.mp4 46.78 MB
13. Performance Optimization/2. Minimizing Memory Usage.mp4 38.19 MB
13. Performance Optimization/20. Massaging Learning Parameters.mp4 22.56 MB
13. Performance Optimization/21. Improving Model Accuracy.mp4 55.02 MB
13. Performance Optimization/3. Creating Memory Snapshots.mp4 49.06 MB
13. Performance Optimization/4. The Javascript Garbage Collector.mp4 55.81 MB
13. Performance Optimization/5. Shallow vs Retained Memory Usage.mp4 56.9 MB
13. Performance Optimization/6. Measuring Memory Usage.mp4 96.64 MB
13. Performance Optimization/7. Releasing References.mp4 35.98 MB
13. Performance Optimization/8. Measuring Footprint Reduction.mp4 43.31 MB
13. Performance Optimization/9. Optimization Tensorflow Memory Usage.mp4 18.54 MB
14. Appendix Custom CSV Loader/1. Loading CSV Files.mp4 15.86 MB
14. Appendix Custom CSV Loader/10. Splitting Test and Training.mp4 75.66 MB
14. Appendix Custom CSV Loader/2. A Test Dataset.mp4 9.59 MB
14. Appendix Custom CSV Loader/3. Reading Files from Disk.mp4 18.6 MB
14. Appendix Custom CSV Loader/4. Splitting into Columns.mp4 20.35 MB
14. Appendix Custom CSV Loader/5. Dropping Trailing Columns.mp4 18.41 MB
14. Appendix Custom CSV Loader/6. Parsing Number Values.mp4 31.37 MB
14. Appendix Custom CSV Loader/7. Custom Value Parsing.mp4 36.72 MB
14. Appendix Custom CSV Loader/8. Extracting Data Columns.mp4 57.28 MB
14. Appendix Custom CSV Loader/9. Shuffling Data via Seed Phrase.mp4 52.14 MB
2. Algorithm Overview/1. How K-Nearest Neighbor Works.mp4 93.33 MB
2. Algorithm Overview/10. Gauging Accuracy.mp4 54.02 MB
2. Algorithm Overview/11. Printing a Report.mp4 33.3 MB
2. Algorithm Overview/12. Refactoring Accuracy Reporting.mp4 52.31 MB
2. Algorithm Overview/13. Investigating Optimal K Values.mp4 129.14 MB
2. Algorithm Overview/14. Updating KNN for Multiple Features.mp4 70.62 MB
2. Algorithm Overview/15. Multi-Dimensional KNN.mp4 44.21 MB
2. Algorithm Overview/16. N-Dimension Distance.mp4 78.88 MB
2. Algorithm Overview/17. Arbitrary Feature Spaces.mp4 71.26 MB
2. Algorithm Overview/18. Magnitude Offsets in Features.mp4 64.06 MB
2. Algorithm Overview/19. Feature Normalization.mp4 72.92 MB
2. Algorithm Overview/2. Lodash Review.mp4 64.94 MB
2. Algorithm Overview/20. Normalization with MinMax.mp4 67.05 MB
2. Algorithm Overview/21. Applying Normalization.mp4 45.36 MB
2. Algorithm Overview/22. Feature Selection with KNN.mp4 80.37 MB
2. Algorithm Overview/23. Objective Feature Picking.mp4 65.98 MB
2. Algorithm Overview/24. Evaluating Different Feature Values.mp4 27.97 MB
2. Algorithm Overview/3. Implementing KNN.mp4 59.34 MB
2. Algorithm Overview/4. Finishing KNN Implementation.mp4 50.28 MB
2. Algorithm Overview/5. Testing the Algorithm.mp4 44.97 MB
2. Algorithm Overview/6. Interpreting Bad Results.mp4 40.76 MB
2. Algorithm Overview/7. Test and Training Data.mp4 45.21 MB
2. Algorithm Overview/8. Randomizing Test Data.mp4 36.01 MB
2. Algorithm Overview/9. Generalizing KNN.mp4 39 MB
3. Onwards to Tensorflow JS!/1. Let's Get Our Bearings.mp4 76.62 MB
3. Onwards to Tensorflow JS!/10. Creating Slices of Data.mp4 58.92 MB
3. Onwards to Tensorflow JS!/11. Tensor Concatenation.mp4 44.14 MB
3. Onwards to Tensorflow JS!/12. Summing Values Along an Axis.mp4 41.37 MB
3. Onwards to Tensorflow JS!/13. Massaging Dimensions with ExpandDims.mp4 57.02 MB
3. Onwards to Tensorflow JS!/2. A Plan to Move Forward.mp4 48.66 MB
3. Onwards to Tensorflow JS!/3. Tensor Shape and Dimension.mp4 114.29 MB
3. Onwards to Tensorflow JS!/5. Elementwise Operations.mp4 58.36 MB
3. Onwards to Tensorflow JS!/6. Broadcasting Operations.mp4 62.06 MB
3. Onwards to Tensorflow JS!/8. Logging Tensor Data.mp4 26 MB
3. Onwards to Tensorflow JS!/9. Tensor Accessors.mp4 30.46 MB
4. Applications of Tensorflow/1. KNN with Regression.mp4 54.99 MB
4. Applications of Tensorflow/10. Reporting Error Percentages.mp4 64.5 MB
4. Applications of Tensorflow/11. Normalization or Standardization.mp4 92.97 MB
4. Applications of Tensorflow/12. Numerical Standardization with Tensorflow.mp4 53.06 MB
4. Applications of Tensorflow/13. Applying Standardization.mp4 41.47 MB
4. Applications of Tensorflow/14. Debugging Calculations.mp4 86.72 MB
4. Applications of Tensorflow/15. What Now.mp4 42.33 MB
4. Applications of Tensorflow/2. A Change in Data Structure.mp4 41.35 MB
4. Applications of Tensorflow/3. KNN with Tensorflow.mp4 78.72 MB
4. Applications of Tensorflow/4. Maintaining Order Relationships.mp4 57.76 MB
4. Applications of Tensorflow/5. Sorting Tensors.mp4 62.85 MB
4. Applications of Tensorflow/6. Averaging Top Values.mp4 58.13 MB
4. Applications of Tensorflow/7. Moving to the Editor.mp4 34.33 MB
4. Applications of Tensorflow/8. Loading CSV Data.mp4 89.33 MB
4. Applications of Tensorflow/9. Running an Analysis.mp4 52.5 MB
5. Getting Started with Gradient Descent/1. Linear Regression.mp4 25.39 MB
5. Getting Started with Gradient Descent/10. Answering Common Questions.mp4 40.95 MB
5. Getting Started with Gradient Descent/11. Gradient Descent with Multiple Terms.mp4 44.2 MB
5. Getting Started with Gradient Descent/12. Multiple Terms in Action.mp4 123.16 MB
5. Getting Started with Gradient Descent/2. Why Linear Regression.mp4 50.35 MB
5. Getting Started with Gradient Descent/3. Understanding Gradient Descent.mp4 126.77 MB
5. Getting Started with Gradient Descent/4. Guessing Coefficients with MSE.mp4 93.47 MB
5. Getting Started with Gradient Descent/5. Observations Around MSE.mp4 56.11 MB
5. Getting Started with Gradient Descent/6. Derivatives!.mp4 77.96 MB
5. Getting Started with Gradient Descent/7. Gradient Descent in Action.mp4 115.36 MB
5. Getting Started with Gradient Descent/8. Quick Breather and Review.mp4 65.8 MB
5. Getting Started with Gradient Descent/9. Why a Learning Rate.mp4 187.28 MB
6. Gradient Descent with Tensorflow/1. Project Overview.mp4 57.04 MB
6. Gradient Descent with Tensorflow/10. More on Matrix Multiplication.mp4 63.25 MB
6. Gradient Descent with Tensorflow/11. Matrix Form of Slope Equations.mp4 59.6 MB
6. Gradient Descent with Tensorflow/12. Simplification with Matrix Multiplication.mp4 90.8 MB
6. Gradient Descent with Tensorflow/13. How it All Works Together!.mp4 143.82 MB
6. Gradient Descent with Tensorflow/2. Data Loading.mp4 43.49 MB
6. Gradient Descent with Tensorflow/3. Default Algorithm Options.mp4 62.66 MB
6. Gradient Descent with Tensorflow/4. Formulating the Training Loop.mp4 27.68 MB
6. Gradient Descent with Tensorflow/5. Initial Gradient Descent Implementation.mp4 87.93 MB
6. Gradient Descent with Tensorflow/6. Calculating MSE Slopes.mp4 67.14 MB
6. Gradient Descent with Tensorflow/7. Updating Coefficients.mp4 33.86 MB
6. Gradient Descent with Tensorflow/8. Interpreting Results.mp4 101.71 MB
6. Gradient Descent with Tensorflow/9. Matrix Multiplication.mp4 67.47 MB
7. Increasing Performance with Vectorized Solutions/1. Refactoring the Linear Regression Class.mp4 72.72 MB
7. Increasing Performance with Vectorized Solutions/10. Reapplying Standardization.mp4 57.96 MB
7. Increasing Performance with Vectorized Solutions/11. Fixing Standardization Issues.mp4 47.85 MB
7. Increasing Performance with Vectorized Solutions/12. Massaging Learning Rates.mp4 36.44 MB
7. Increasing Performance with Vectorized Solutions/13. Moving Towards Multivariate Regression.mp4 121.42 MB
7. Increasing Performance with Vectorized Solutions/14. Refactoring for Multivariate Analysis.mp4 82.36 MB
7. Increasing Performance with Vectorized Solutions/15. Learning Rate Optimization.mp4 76.69 MB
7. Increasing Performance with Vectorized Solutions/16. Recording MSE History.mp4 51.95 MB
7. Increasing Performance with Vectorized Solutions/17. Updating Learning Rate.mp4 62.15 MB
7. Increasing Performance with Vectorized Solutions/2. Refactoring to One Equation.mp4 84.81 MB
7. Increasing Performance with Vectorized Solutions/3. A Few More Changes.mp4 66.16 MB
7. Increasing Performance with Vectorized Solutions/4. Same Results Or Not.mp4 33.84 MB
7. Increasing Performance with Vectorized Solutions/5. Calculating Model Accuracy.mp4 80.37 MB
7. Increasing Performance with Vectorized Solutions/6. Implementing Coefficient of Determination.mp4 75.79 MB
7. Increasing Performance with Vectorized Solutions/7. Dealing with Bad Accuracy.mp4 71.42 MB
7. Increasing Performance with Vectorized Solutions/8. Reminder on Standardization.mp4 44.5 MB
7. Increasing Performance with Vectorized Solutions/9. Data Processing in a Helper Method.mp4 37.18 MB
8. Plotting Data with Javascript/1. Observing Changing Learning Rate and MSE.mp4 45.84 MB
8. Plotting Data with Javascript/2. Plotting MSE Values.mp4 61.4 MB
8. Plotting Data with Javascript/3. Plotting MSE History against B Values.mp4 47.81 MB
9. Gradient Descent Alterations/1. Batch and Stochastic Gradient Descent.mp4 77.24 MB
9. Gradient Descent Alterations/2. Refactoring Towards Batch Gradient Descent.mp4 55.11 MB
9. Gradient Descent Alterations/3. Determining Batch Size and Quantity.mp4 66.09 MB
9. Gradient Descent Alterations/4. Iterating Over Batches.mp4 67.46 MB
9. Gradient Descent Alterations/5. Evaluating Batch Gradient Descent Results.mp4 66.24 MB
9. Gradient Descent Alterations/6. Making Predictions with the Model.mp4 79.49 MB
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