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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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- 【音乐】 K.Markov - Mental Radio (2017)
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07 Mental 7.flac 159.6 MB
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05 Mental 5.flac 92.9 MB
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13 Mental 13.flac 89.6 MB
01 Mental 1.flac 78.3 MB
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08 Mental 8.flac 75.5 MB
06 Mental 6.flac 73.5 MB
15 Mental 15.flac 69.0 MB
14 Mental 14.flac 61.8 MB
11 Mental 11.flac 53.6 MB
cover.jpg 416.9 kB
Folder.auCDtect.txt 6.1 kB
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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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- 【音乐】 K.Markov - Asteroid Field
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1. Asteroid Field.mp3 56.9 MB
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3. Meteor Shower.mp3 47.1 MB
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- 【音乐】 K. Markov - Visitors (2020)
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07 - Dream Creatures.flac 51.2 MB
01 - Visitors.flac 48.7 MB
02 - Close Encounter.flac 47.6 MB
06 - Alien Plant.flac 45.5 MB
04 - Gone Too Far.flac 42.4 MB
05 - Exotic Landscape.flac 42.0 MB
03 - Fluid Emotions.flac 34.3 MB
cover.png 1.2 MB
Folder.auCDtect.txt 3.4 kB
foo_dr.txt 1.3 kB
playlist.m3u8 173 Bytes
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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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- 【音乐】 K.Markov - 2016 Works
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01 2016 Works.flac 299.6 MB
cover3.jpg 1.7 MB
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- 【音乐】 K. Markov - Interactivity (2019)
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05 - Inner Alchemy.flac 81.7 MB
04 - Reverse Evolution.flac 68.1 MB
03 - Grand Illusion.flac 65.7 MB
02 - Interactivity.flac 65.1 MB
01 - Mind Control.flac 63.5 MB
cover.jpg 59.4 kB
Folder.auCDtect.txt 2.7 kB
foo_dr.txt 1.2 kB
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- 【影视】 [ TutGator.com ] Udemy - Future Land Use with GIS - TerrSet - CA Markov - ArcGIS
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~Get Your Files Here !/3. Preparing Landuse related Drivers/1. Getting Ready Our Landuse for future Input.mp4 219.1 MB
~Get Your Files Here !/11. Validation of Results/2. Validation Method 2 ArcGIS.mp4 159.8 MB
~Get Your Files Here !/14. Additional GIS Task you may need it to prepare data/2. Method 1 for mosaic of DEM in ArcGIS.mp4 156.2 MB
~Get Your Files Here !/12. After Validation Generate Future images and understand concept of Matrix/1. Future Landuse image Generation for year 2030,2050,2100.mp4 153.9 MB
~Get Your Files Here !/5. Downloading DEM and Prepare data of Landuse and Slope for Model input/3. Process landuse with Erdas to be ready for model.mp4 147.4 MB
~Get Your Files Here !/5. Downloading DEM and Prepare data of Landuse and Slope for Model input/2. Prepare Elevation Model for use with Prediction model.mp4 145.2 MB
~Get Your Files Here !/7. Zero and one Road Layer generation (Optional)/1. Adding optional road layer to main data.mp4 145.0 MB
~Get Your Files Here !/12. After Validation Generate Future images and understand concept of Matrix/2. Modification of Future image with Matrix probability.mp4 144.5 MB
~Get Your Files Here !/12. After Validation Generate Future images and understand concept of Matrix/3. Generation video of Urban Growth and Intermediate stage images till 2100 year.mp4 120.6 MB
~Get Your Files Here !/10. Machine Learning in Action – CA Markov Chain Model, Future Predictions/1. Running the Machine Learning and MLP Model.mp4 112.1 MB
~Get Your Files Here !/12. After Validation Generate Future images and understand concept of Matrix/4. Understanding Model Settings what to change and run Model again, understanding.mp4 94.3 MB
~Get Your Files Here !/3. Preparing Landuse related Drivers/2. Urban Landuse Setting up for Model.mp4 89.8 MB
~Get Your Files Here !/5. Downloading DEM and Prepare data of Landuse and Slope for Model input/4. Process Landuse in ArcGIS (Optional).mp4 85.7 MB
~Get Your Files Here !/4. Roads Process/3. Street Map Conversion.mp4 85.4 MB
~Get Your Files Here !/4. Roads Process/4. Cut Vector layer to study area.mp4 84.8 MB
~Get Your Files Here !/4. Roads Process/1. Downloading for Roads.mp4 78.5 MB
~Get Your Files Here !/2. About Software and Methodology/5. Landuse that we already Have – A look.mp4 73.2 MB
~Get Your Files Here !/6. Data Management/1. Arrange Data for Batch Processing.mp4 71.5 MB
~Get Your Files Here !/11. Validation of Results/1. Validation Method 1 Terrset.mp4 71.4 MB
~Get Your Files Here !/8. Project Setup and Starting Land change Model in Terrset, Data conversion/3. Setting up Land Change Modeler and Image modification.mp4 67.4 MB
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- 【影视】 [GigaCourse.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】 [DesireCourse.Com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
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04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp4 49.7 MB
06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp4 49.0 MB
06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp4 47.6 MB
09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp4 32.2 MB
04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
09 Appendix/047 How to Code by Yourself part 1.mp4 25.7 MB
07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp4 25.6 MB
05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp4 24.9 MB
05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp4 24.2 MB
06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp4 23.5 MB
09 Appendix/044 Theano Tutorial.mp4 20.8 MB
05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp4 17.2 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 16.6 MB
06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp4 16.0 MB
06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp4 15.7 MB
09 Appendix/048 How to Code by Yourself part 2.mp4 15.5 MB
08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp4 15.1 MB
09 Appendix/045 Tensorflow Tutorial.mp4 14.6 MB
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- 【音乐】 K.Markov - Orion [2021]
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1. Orion.mp3 44.3 MB
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- 【音乐】 Markov Space - Mixed 22 [2023]
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Compilations/2019 - 2018 collection/02. Parallel Universe.flac 574.3 MB
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Compilations/2019 - 2018 collection/02. Parallel Universe.flac 574.3 MB
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Compilations/2019 - 2018 collection/06. Solar Waves.flac 563.0 MB
Albums/2018 - Solar Waves/01. Solar Waves.flac 563.0 MB
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Albums/2013 - A New Day/07. Soundscapes.flac 333.1 MB
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Albums/2015 - Liquid/02. Linear Change.flac 327.5 MB
Compilations/2019 - 2018 collection/07. Electronic City.flac 325.7 MB
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Albums/2015 - Transmission/02. Return of Pioneer 10.flac 314.0 MB
Albums/2015 - Liquid/01. Free Fall.flac 302.9 MB
Compilations/2016 - 2016 Works/01. 2016 Works.flac 298.5 MB
Albums/2017 - Plattenspieler/01. Seite A.flac 283.9 MB
Albums/2016 - Species/01. Species.flac 283.3 MB
Singles & EPs/2017 - Machine Learning/01. Machine Learning.flac 279.3 MB
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Compilations/2019 - 2018 collection/02. Parallel Universe.flac 574.3 MB
Compilations/2019 - 2018 collection/05. Neural Network.flac 566.3 MB
Compilations/2019 - 2018 collection/06. Solar Waves.flac 563.0 MB
Albums/2018 - Solar Waves/01. Solar Waves.flac 563.0 MB
Compilations/2018 - 2018 Works/01. 2018 Works.flac 378.5 MB
Compilations/2019 - 2018 collection/03. Frequency.flac 358.7 MB
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Albums/2013 - A New Day/07. Soundscapes.flac 333.1 MB
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Albums/2015 - Liquid/02. Linear Change.flac 327.5 MB
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Albums/2015 - Liquid/01. Free Fall.flac 302.9 MB
Compilations/2016 - 2016 Works/01. 2016 Works.flac 298.5 MB
Albums/2017 - Plattenspieler/01. Seite A.flac 283.9 MB
Albums/2016 - Species/01. Species.flac 283.3 MB
Singles & EPs/2017 - Machine Learning/01. Machine Learning.flac 279.3 MB
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