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【影视】 [DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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Unsupervised S01E03 Field of Dreams ... and Dogs.mp4 51.9 MB
Unsupervised S01E12 Black Squirrels.mp4 50.8 MB
Unsupervised S01E11 The Great Traveler's Road.mp4 49.7 MB
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Unsupervised S01E07 The Magic of Science.mp4 47.4 MB
Unsupervised S01E08 My Brother Brian.mp4 47.1 MB
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【影视】 K-Means for Cluster Analysis and Unsupervised Learning in R

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[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/4. Unsupervised learning K-Means in R Theory & Practise/5. K-means clustering Application to email marketing.mp4 116.0 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/5. Advanced K-Means Clustering Analysis/1. Starting with Fuzzy K-means in R.mp4 107.1 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/7. Your Independent Project in K-Means CLuster Analysis/2. Project Assignment.mp4 71.6 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/5. Advanced K-Means Clustering Analysis/2. Entropy Weighted K-Means in R.mp4 64.9 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/5. Advanced K-Means Clustering Analysis/3. Selecting the number of clusters for unsupervised Clustering methods (K-Means).mp4 62.2 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/7. Your Independent Project in K-Means CLuster Analysis/1. Introduction to Your Project based on a case study.mp4 60.9 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/4. Lab data types and data structures in R.mp4 50.4 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/2. Software used in this course/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/1. Introduction/2. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/6. Performance Evaluation of Unsupervised Learning CLustering Algorithms in R/1. How to assess a Clustering Tendency of the dataset.mp4 44.4 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/2. Software used in this course/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/6. Performance Evaluation of Unsupervised Learning CLustering Algorithms in R/2. Assessing the performance of unsupervised learning (clustering) algorithms.mp4 40.3 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/5. Vectors' operations in R.mp4 37.7 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/8. Functions in R - overview.mp4 33.8 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/7. Your Independent Project in K-Means CLuster Analysis/1.1 samsungData.rda 28.6 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/3. Overview of data types and data structures in R.mp4 28.5 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/6. Performance Evaluation of Unsupervised Learning CLustering Algorithms in R/3. How to compare the performance of different unsupervised clustering algoritms.mp4 28.5 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/9. Lab For Loops in R.mp4 26.0 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/4. Unsupervised learning K-Means in R Theory & Practise/6. Heatmaps to visualize K-Means Results in R Examplery Lab.mp4 25.9 MB
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【影视】 [FreeCoursesOnline.Me] [Packt] Unsupervised Clustering in Mesos [Integrated Course] [FCO]

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00003 Exploratory_Data_Analysis.mp4 83.8 MB
00010 Extreme_Learning_Machine.mp4 51.9 MB
00011 The_SuperEnsemble.mp4 48.5 MB
00013 Simulated_Annealing.mp4 48.3 MB
00017 MLP_versus_DLVQ_versus_Jordan_versus_Elman.mp4 47.1 MB
00012 Genetic_Algorithms.mp4 45.3 MB
00016 Keras_and_TensorFlow.mp4 43.6 MB
00004 Outlier_Detection.mp4 40.5 MB
00009 Stacking.mp4 33.2 MB
00002 Mesos_Initial_Setup.mp4 32.2 MB
00005 Sample_Selection_and_Dimensionality_Reduction.mp4 31.1 MB
00015 Self-Control_and_Self-Training.mp4 29.9 MB
00019 Prioritizing_Attention.mp4 29.4 MB
00008 Continuous_Prediction.mp4 28.9 MB
00006 Creating_Training_and_Testing_a_model_of_Neural_Networks.mp4 28.2 MB
00018 Error_Correction_and_Boltzmann_Rule.mp4 27.2 MB
00014 Grafana_with_Webhook.mp4 18.4 MB
00007 Bayesian_Hyper-Parameterization.mp4 18.1 MB
00001 The_Course_Overview.mp4 2.1 MB
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【影视】 [FreeTutorials.Us] unsupervised-machine-learning-hidden-markov-models-in-python

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01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 7.1 MB
01 Introduction and Outline/002 Unsupervised or Supervised.mp4 5.5 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4 2.2 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4 9.2 MB
02 Markov Models/005 The Markov Property.mp4 8.7 MB
02 Markov Models/006 Markov Models.mp4 8.6 MB
02 Markov Models/007 The Math of Markov Chains.mp4 9.5 MB
03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4 5.8 MB
03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4 4.9 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 16.6 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4 9.1 MB
04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4 10.7 MB
04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4 3.3 MB
04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4 7.7 MB
04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4 7.1 MB
04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4 6.3 MB
04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4 5.3 MB
04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp4 6.0 MB
04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp4 4.6 MB

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