002.Introduction to Deep Learning/003. Supervised Learning with Neural Networks.mp4

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Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4

Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.vtt

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02.Understanding Approaches to Machine Learning/02.07.Supervised vs. Unsupervised Learning.mp4

05.Understanding and Implementing Clustering Model/05.02.Clustering as an Unsupervised Learning Technique.mp4

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10. Unsupervised Learning Clustering/1. Clustering.mp4

10. Unsupervised Learning Clustering/1. Clustering.vtt

10. Unsupervised Learning Clustering/2. k_Means Clustering.mp4

10. Unsupervised Learning Clustering/2. k_Means Clustering.vtt

9. Unsupervised Learning Dimensionality Reduction/1. Dimensionality Reduction Concept.mp4

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5. ES (Evolution Strategies)/5. ES for Supervised Learning.mp4

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07 - Supervised Learning - 1.mp4

09 - Supervised Learning - II.mp4

10 - Unsupervised Learning.mp4

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002.Introduction/004. Supervised Learning.mp4

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002.Introduction/005. Unsupervised Learning.mp4

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028.Clustering/077. Unsupervised Learning Introduction.mp4

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22. Unsupervised Learning/1. Introduction to Clustering.mp4

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22. Unsupervised Learning/1.1 Unsupervised.zip.zip

22. Unsupervised Learning/2. Segmentation.mp4

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02.Predicting Sales with Supervised Learning/0201.Classification versus Regression.mp4

02.Predicting Sales with Supervised Learning/0202.Training, Testing, and Validation.mp4

02.Predicting Sales with Supervised Learning/0203.Boosting and Ensembles.mp4

02.Predicting Sales with Supervised Learning/0204.Small Data and Cross Validation.mp4

02.Predicting Sales with Supervised Learning/0205.Building Artificial Neural Networks.mp4

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2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4

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2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html

2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf

2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4

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4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4

4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.vtt

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1. Introduction and Outline/6. What are the practical applications of unsupervised deep learning.mp4

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supervised-learning/01_mashinnoie-obuchieniie-i-linieinyie-modieli/01_znakomstvo-s-kursom/01_kak-priekrasny-mashinnoie-obuchieniie-i-analiz-dannykh.mp4

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supervised-learning/01_mashinnoie-obuchieniie-i-linieinyie-modieli/01_znakomstvo-s-kursom/02_kak-ustroiena-spietsializatsiia-i-zachiem-ieie-prokhodit.ru.srt

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6. Data Mining. Semi-supervised learning.mp4

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07 Pre-Processing the Data to Apply Methodology/006 Semi-Supervised Techniques.mp4

09 The Data Mining Tasks to Find the Fraudulent Transactions/007 Supervised and Unsupervised Approaches.mp4

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/8 - 1 - 1 Neurons as Classifiers and Supervised Learning (2557).mp4

7 - 2 - 2 Introduction to Unsupervised Learning (2206).mp4

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Volume 46/#3/02 - Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation.pdf

Volume 56/#1-2/01 - Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval.pdf

Volume 62/#3/00 - Information-Theoretic Active Polygons for Unsupervised Texture Segmentation.pdf

Volume 69/#2/01 - Model Selection for Unsupervised Learning of Visual Context.pdf

Volume 70/#1/05 - Unsupervised Learning of Image Manifolds by Semidefinite Programming.pdf

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Video Lectures/01.3-V2-Introduction-SupervisedLearning.mp4

Video Lectures/01.4-V2-Introduction-UnsupervisedLearning.mp4

Video Lectures/14.1-Clustering-UnsupervisedLearningIntroduction.mp4

Video Lectures/16.5-AnomalyDetection-AnomalyDetectionVsSupervisedLearning-V1.mp4

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