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【影视】 Unsupervised S01 (Xvid)

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Unsupervised S01E01 Pilot.avi 183.7 MB
Unsupervised S01E02 Rich Girl.avi 183.4 MB
Unsupervised S01E03 Field of Dreams... and Dogs.avi 183.1 MB
Unsupervised S01E04 Fires & Liars.avi 183.2 MB
Unsupervised S01E05 Stupid Idiots.avi 183.5 MB
Unsupervised S01E06 Nits.avi 183.6 MB
Unsupervised S01E07 The Magic of Science.avi 183.6 MB
Unsupervised S01E08 My Brother Brian.avi 183.7 MB
Unsupervised S01E09 Jesse Judge Lawncare Incorporated.avi 183.7 MB
Unsupervised S01E10 Youngbloods.avi 183.6 MB

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【影视】 Unsupervised s01 ketchuptv

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Unsupervised s01e01 ketchuptv.avi 185.0 MB
Unsupervised s01e02 ketchuptv.avi 185.9 MB
Unsupervised s01e03 ketchuptv.avi 183.2 MB
Unsupervised s01e04 ketchuptv.avi 181.7 MB
Unsupervised s01e05 ketchuptv.avi 184.1 MB
Unsupervised s01e06 ketchuptv.avi 182.5 MB
Unsupervised s01e07 ketchuptv.avi 181.4 MB
Unsupervised s01e08 ketchuptv.avi 181.5 MB
Unsupervised s01e09 ketchuptv.avi 185.6 MB
Unsupervised s01e10 ketchuptv.avi 181.8 MB

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

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10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
4. Hidden Markov Models for Discrete Observations/16. 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. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
12/4. What order should I take your courses in (part 2).mp4 39.5 MB
4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
2. Markov Models/2. Markov Models.mp4 34.1 MB
4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
12/3. What order should I take your courses in (part 1).mp4 30.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (Updated 12 - 2020).zip

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[ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (Updated 12 - 2020).zip 1.7 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Cluster Analysis & Unsupervised Machine Learning in R.zip

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【影视】 Unsupervised

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Unsupervised.S01E01.HDTV.XviD-LOL.avi 183.7 MB
unsupervised.s01e06.hdtv.xvid-fqm.avi 183.6 MB
Unsupervised.S01E05.HDTV.XviD-ASAP.avi 183.5 MB
Unsupervised.S01E02.HDTV.XviD-LOL.avi 183.4 MB
Unsupervised.S01E04.HDTV.XviD-LOL.avi 183.2 MB
Unsupervised.S01E03.HDTV.XviD-LOL.avi 183.1 MB
unsupervised.110.hdtv-lol.mp4 137.2 MB
unsupervised.108.hdtv-lol.mp4 131.1 MB
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【影视】 Cluster Analysis and Unsupervised Machine Learning in Python

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Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB

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

收录时间:2022-02-09 文档个数:116 文档大小:1.2 GB 最近下载:2025-05-06 人气:192 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】 [FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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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】 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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