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02-jump-right-in-machine-learning-for-spam-detection/attached_files/006-spam-detection-with-machine-learning-continued/ml-intro-3.pdf 892.7 kB
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03-solving-classification-problems/attached_files/009-random-variables/Random-Variable.pdf 973.0 kB
03-solving-classification-problems/attached_files/010-bayes-theorem/Bayes-Theorem.pdf 944.5 kB
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03-solving-classification-problems/attached_files/013-knearest-neighbors/Knn-1.pdf 835.5 kB
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03-solving-classification-problems/attached_files/015-support-vector-machines-introduced/Svm-1.pdf 856.8 kB
03-solving-classification-problems/attached_files/016-support-vector-machines-maximum-margin-hyperplane-and-kernel-trick/Svm-2.pdf 2.1 MB
03-solving-classification-problems/attached_files/017-artificial-neural-networksperceptrons-introduced/Ann-1.pdf 1.5 MB
03-solving-classification-problems/attached_files/017-artificial-neural-networksperceptrons-introduced/Ann-2.pdf 868.2 kB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Clustering-copy.pdf 3.1 MB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Ml-Clustering.pdf 973.9 kB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/019-clustering-kmeans-and-dbscan/Clustering-copy.pdf 3.1 MB
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- 收录时间:2021-03-27 文档个数:558 文档大小:10.8 GB 最近下载:2025-05-15 人气:2365 磁力链接
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06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4 150.8 MB
02 Algorithm Overview/022 Investigating Optimal K Values.mp4 135.4 MB
05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4 132.9 MB
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07 Increasing Performance with Vectorized Solutions/097 Moving Towards Multivariate Regression.mp4 127.3 MB
05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4 121.0 MB
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01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4 108.6 MB
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13 Performance Optimization/159 Measuring Memory Usage.mp4 101.3 MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4 99.8 MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4 98.0 MB
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04 Applications of Tensorflow/055 Normalization or Standardization.mp4 97.5 MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4 95.2 MB
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05 Getting Started with Gradient Descent/068 Why a Learning Rate.mp4 196.4 MB
06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4 150.8 MB
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05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4 132.9 MB
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05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4 121.0 MB
03 Onwards to Tensorflow JS/036 Tensor Shape and Dimension.mp4 119.8 MB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4 108.6 MB
06 Gradient Descent with Tensorflow/079 Interpreting Results.mp4 106.7 MB
13 Performance Optimization/159 Measuring Memory Usage.mp4 101.3 MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4 99.8 MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4 98.0 MB
02 Algorithm Overview/010 How K-Nearest Neighbor Works.mp4 97.9 MB
04 Applications of Tensorflow/055 Normalization or Standardization.mp4 97.5 MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4 95.2 MB
04 Applications of Tensorflow/052 Loading CSV Data.mp4 93.7 MB
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05 Getting Started with Gradient Descent/068 Why a Learning Rate.mp4 196.4 MB
06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4 150.8 MB
02 Algorithm Overview/022 Investigating Optimal K Values.mp4 135.4 MB
05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4 132.9 MB
05 Getting Started with Gradient Descent/071 Multiple Terms in Action.mp4 129.1 MB
07 Increasing Performance with Vectorized Solutions/097 Moving Towards Multivariate Regression.mp4 127.3 MB
05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4 121.0 MB
03 Onwards to Tensorflow JS/036 Tensor Shape and Dimension.mp4 119.8 MB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4 108.6 MB
06 Gradient Descent with Tensorflow/079 Interpreting Results.mp4 106.7 MB
13 Performance Optimization/159 Measuring Memory Usage.mp4 101.3 MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4 99.8 MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4 98.0 MB
02 Algorithm Overview/010 How K-Nearest Neighbor Works.mp4 97.9 MB
04 Applications of Tensorflow/055 Normalization or Standardization.mp4 97.5 MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4 95.2 MB
04 Applications of Tensorflow/052 Loading CSV Data.mp4 93.7 MB
12 Image Recognition In Action/151 Debugging the Calculation Process.mp4 93.4 MB
06 Gradient Descent with Tensorflow/076 Initial Gradient Descent Implementation.mp4 92.2 MB
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01 What is Machine Learning/001 Getting Started - How to Get Help-en.srt 1.8 kB
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01 What is Machine Learning/002 Solving Machine Learning Problems-en.srt 9.5 kB
01 What is Machine Learning/002 Solving Machine Learning Problems.mp4 65.8 MB
01 What is Machine Learning/003 A Complete Walkthrough-en.srt 15.5 kB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
01 What is Machine Learning/004 App Setup-en.srt 3.5 kB
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01 What is Machine Learning/005 Problem Outline-en.srt 5.0 kB
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01 What is Machine Learning/007 Dataset Structures-en.srt 9.4 kB
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01 What is Machine Learning/008 Recording Observation Data-en.srt 6.2 kB
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01 What is Machine Learning/009 What Type of Problem-en.srt 7.8 kB
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01 What is Machine Learning/001 Getting Started - How to Get Help.mp4 8.8 MB
01 What is Machine Learning/002 Solving Machine Learning Problems-en.srt 9.5 kB
01 What is Machine Learning/002 Solving Machine Learning Problems.mp4 65.8 MB
01 What is Machine Learning/003 A Complete Walkthrough-en.srt 15.5 kB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
01 What is Machine Learning/004 App Setup-en.srt 3.5 kB
01 What is Machine Learning/004 App Setup.mp4 20.2 MB
01 What is Machine Learning/005 Problem Outline-en.srt 5.0 kB
01 What is Machine Learning/005 Problem Outline.mp4 32.7 MB
01 What is Machine Learning/006 Identifying Relevant Data-en.srt 6.8 kB
01 What is Machine Learning/006 Identifying Relevant Data.mp4 35.6 MB
01 What is Machine Learning/007 Dataset Structures-en.srt 9.4 kB
01 What is Machine Learning/007 Dataset Structures.mp4 50.6 MB
01 What is Machine Learning/008 Recording Observation Data-en.srt 6.2 kB
01 What is Machine Learning/008 Recording Observation Data.mp4 34.3 MB
01 What is Machine Learning/009 What Type of Problem-en.srt 7.8 kB
01 What is Machine Learning/009 What Type of Problem.mp4 49.3 MB
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Mean Machine (2001) WEB-DL 1080p [2xUKR_ENG] [Hurtom].mkv 10.8 GB
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Pirate Fetish Machine 18 Five Doors to Ecstasy-avi/Pirate Fetish Machine 18 Five Doors to Ecstasy.avi 735.5 MB
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