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【影视】 [FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

收录时间:2021-04-02 文档个数:116 文档大小:1.2 GB 最近下载:2025-05-16 人气:1533 磁力链接

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

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【影视】 [DesireCourse.Com] Udemy - Unsupervised Deep Learning in Python

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12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB

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【影视】 K-Means for Cluster Analysis and Unsupervised Learning in R

收录时间:2021-05-20 文档个数:71 文档大小:1.1 GB 最近下载:2025-05-15 人气:759 磁力链接

[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
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/1. Lab Installing Packages and Package Management in R.mp4 25.3 MB

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

收录时间:2022-01-18 文档个数:80 文档大小:924.3 MB 最近下载:2025-05-13 人气:813 磁力链接

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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【影视】 Unsupervised S01 (2012 360p re-webrip)

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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
Unsupervised S01E10 Youngbloods.mp4 49.2 MB
Unsupervised S01E01 Pilot.mp4 48.3 MB
Unsupervised S01E07 The Magic of Science.mp4 47.4 MB
Unsupervised S01E08 My Brother Brian.mp4 47.1 MB
Unsupervised S01E13 Reggie Dog Bites.mp4 46.9 MB
Unsupervised S01E05 Stupid Idiots.mp4 46.4 MB
Unsupervised S01E02 Rich Girl.mp4 46.2 MB
Unsupervised S01E06 Nits.mp4 45.3 MB
Unsupervised S01E04 Fires & Liars.mp4 44.2 MB
Unsupervised S01E09 Jesse Judge Lawncare Incorporated.mp4 42.7 MB

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【影视】 Unsupervised Machine Learning with Python

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[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4 294.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4 247.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/4. Section 6.3 K Means Code Walkthrough.mp4 207.9 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/2. Section 2.1 Numpy Basic Demos.mp4 195.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/6. Section 10.4 Clustering for BBC Text Dataset.mp4 195.0 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/2. Section 10.2 Clustering for Iris Flower Dataset.mp4 186.5 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/4. Section 5.3 DBSCAN Code Walkthrough.mp4 183.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4 169.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4 164.3 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4 153.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/2. Section 9.1 Principal Component Analysis Algorithm.mp4 148.1 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/4. Section 10.3 Clustering for MNIST Digits Dataset.mp4 131.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/1. Section 7.1 Normal Distribution Probability Density Function.mp4 130.6 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/3. Section 8.2 Comparison of Algorithms.mp4 120.3 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/1. Section 10.1 Clustering Quality Metrics.mp4 118.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/8. Section 3.4 Singular Value Decomposition.mp4 108.8 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4 107.2 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/2. Section 3.1 What is Data in Unsupervised Learning.mp4 105.7 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/3. Section 1.3 Course Resources and Set Up.mp4 103.4 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/3. Section 4.2 Hierarchical Clustering Code Design.mp4 103.0 MB

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