04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.en.srt

04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.en.txt

04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.ja.srt

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04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.ko.srt

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003.Linear model as the simplest neural network/004. Linear classification.mp4

003.Linear model as the simplest neural network/004. Linear classification.srt

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13. Decision Trees and Random Forests/4. Random Forest - Classification Consulting Project.mp4

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13. Decision Trees and Random Forests/5. Random Forest Classification Consulting Project Solutions.mp4

13. Decision Trees and Random Forests/5. Random Forest Classification Consulting Project Solutions.vtt

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5. Text Classification/1. Introduction to Text Classification.mp4

5. Text Classification/1. Introduction to Text Classification.vtt

5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4

5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.vtt

5. Text Classification/11. Text Classification Code Along Project.mp4

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/01.Advanced Text Processing in Spark and Building a Classification Model/0101.The Course Overview.mp4

01.Advanced Text Processing in Spark and Building a Classification Model/0102.Analyzing Text Input Data.mp4

01.Advanced Text Processing in Spark and Building a Classification Model/0103.Feature Generation from Text – Count Vectorizer, TFIDF, LDA.mp4

01.Advanced Text Processing in Spark and Building a Classification Model/0104.Extracting Features from Data – Transforming Text into Vector of Numbers.mp4

01.Advanced Text Processing in Spark and Building a Classification Model/0105.Bag-of-Words and Skip Gram.mp4

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08.Machine Learning with Dask/0803.Using Dask-ML for Classification.mp4

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/02.Machine Learning Packages spark.mllib vs. spark.ml/0210.Demo Wine Classification Using Decision Trees in spark.mllib.mp4

03.Building Classification and Regression Models in Spark ML/0301.Module Overview.mp4

03.Building Classification and Regression Models in Spark ML/0302.ML Pipelines, Estimators, and Transformers.mp4

03.Building Classification and Regression Models in Spark ML/0303.Training and Prediction Pipeline Stages.mp4

03.Building Classification and Regression Models in Spark ML/0304.Feature Engineering.mp4

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05 Modules/05-06 Using Default Block Adding Checkpoints with Notify Resource Classification.mp4

12 Hiera/12-04 Using Hiera for Node Classification Overriding Properties with Additional Data.mp4

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2 - Deep Models with MxNet and TensorFlow/Mini Project - CIFAR Classification.mp4

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6 - Endpoint Hunting/04_Malware Classifications.mp4

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08.Classification.mp4

31.Error Function for Binary Classification.mp4

32.Error Function for Multiclass Classification.mp4

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12. Traffic Sign Classification/1. Overview.mp4

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12. Traffic Sign Classification/10. Section 12 - Outro.mp4

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12. Traffic Sign Classification/2. Traffic Signs Starter Code.html

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~Get Your Course Here !/03.CISM Domain 1 Information Security Governance/0311.Data Classification.mp4

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07 Algorithms/006 Classification.mp4

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3. Types (Classification) of Sets/1. Introductory Note.html

3. Types (Classification) of Sets/2. Finite and Infinite sets.mp4

3. Types (Classification) of Sets/3. Empty (Null) Set.mp4

3. Types (Classification) of Sets/4. Singleton (Unit) Set.mp4

3. Types (Classification) of Sets/5. Equal and Equivalent sets.mp4

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/12. Traffic Sign Classification/3. Preprocessing Images.mp4

6. Intro to Neural Networks/4. Classification.mp4

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9. Multiclass Classification/1. Overview.mp4

9. Multiclass Classification/1. Overview.vtt

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3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.mp4

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3. Bidirectional RNNs/5. Image Classification Code.mp4

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21-08 Classification of the workers....mp3

21-07 9 Classification of the workers....mp3

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002.How to from plain texts to their classification/006. Text preprocessing.mp4

002.How to from plain texts to their classification/006. Text preprocessing.srt

002.How to from plain texts to their classification/007. Feature extraction from text.mp4

002.How to from plain texts to their classification/007. Feature extraction from text.srt

002.How to from plain texts to their classification/008. Linear models for sentiment analysis.mp4

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5. Chemical Reactions/4. Quiz – Classification of Solutes in Aqueous Solution.html

9. Periodic Relationships/1. Ground State Electron Configurations and Classification of Elements.mp4

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