Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)
File List
- 10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4 168.0 MB
- 10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 109.2 MB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 81.2 MB
- 01 - Introduction and Outline/002 Where to get the Code and Data.mp4 73.2 MB
- 04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.mp4 69.5 MB
- 06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.mp4 65.2 MB
- 06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.mp4 64.3 MB
- 02 - Markov Models/004 The Math of Markov Chains.mp4 58.9 MB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 56.1 MB
- 06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).mp4 54.3 MB
- 05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.mp4 50.6 MB
- 02 - Markov Models/002 Markov Models.mp4 45.9 MB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 42.5 MB
- 06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).mp4 41.7 MB
- 05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.mp4 41.5 MB
- 09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.mp4 40.7 MB
- 13 - Appendix FAQ Finale/002 BONUS.mp4 39.9 MB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 37.1 MB
- 07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 34.7 MB
- 04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.mp4 34.3 MB
- 01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 34.1 MB
- 02 - Markov Models/003 Probability Smoothing and Log-Space.mp4 34.0 MB
- 05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.mp4 33.7 MB
- 05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.mp4 33.6 MB
- 02 - Markov Models/001 The Markov Property.mp4 32.3 MB
- 03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.mp4 29.7 MB
- 03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.mp4 29.6 MB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 27.5 MB
- 04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).mp4 27.3 MB
- 03 - Markov Models Example Problems and Applications/006 Suggestion Box.mp4 27.2 MB
- 04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).mp4 26.0 MB
- 04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).mp4 24.0 MB
- 09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.mp4 23.3 MB
- 04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).mp4 21.8 MB
- 06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.mp4 20.9 MB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4 20.9 MB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4 17.9 MB
- 01 - Introduction and Outline/003 How to Succeed in this Course.mp4 16.2 MB
- 04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).mp4 15.9 MB
- 08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.mp4 15.4 MB
- 05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.mp4 15.2 MB
- 04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.mp4 15.0 MB
- 04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.mp4 13.3 MB
- 04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.mp4 12.7 MB
- 03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.mp4 12.3 MB
- 04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).mp4 12.1 MB
- 04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.mp4 11.6 MB
- 04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).mp4 11.3 MB
- 04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.mp4 10.9 MB
- 04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).mp4 10.5 MB
- 04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.mp4 10.3 MB
- 05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.mp4 10.1 MB
- 08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.mp4 9.7 MB
- 04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.mp4 9.5 MB
- 10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.mp4 8.9 MB
- 04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.mp4 8.9 MB
- 04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).mp4 8.1 MB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4 7.6 MB
- 06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.mp4 7.2 MB
- 07 - HMMs for Classification/001 Unsupervised or Supervised.mp4 6.7 MB
- 13 - Appendix FAQ Finale/001 What is the Appendix.mp4 6.1 MB
- 07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.mp4 5.3 MB
- 03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.mp4 5.1 MB
- 09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.mp4 4.6 MB
- 03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.mp4 4.3 MB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.9 KB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.5 KB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).srt 22.5 KB
- 04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).srt 20.0 KB
- 10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.srt 19.8 KB
- 02 - Markov Models/004 The Math of Markov Chains.srt 19.4 KB
- 04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).srt 18.1 KB
- 01 - Introduction and Outline/002 Where to get the Code and Data.srt 16.9 KB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.6 KB
- 02 - Markov Models/002 Markov Models.srt 16.5 KB
- 04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).srt 16.1 KB
- 05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.srt 15.0 KB
- 04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.srt 14.7 KB
- 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).srt 14.7 KB
- 10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.2 KB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.srt 14.0 KB
- 04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).srt 13.8 KB
- 03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.srt 13.3 KB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).srt 13.3 KB
- 06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).srt 12.4 KB
- 05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.srt 12.2 KB
- 04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).srt 11.6 KB
- 06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.srt 11.4 KB
- 06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.srt 10.7 KB
- 02 - Markov Models/003 Probability Smoothing and Log-Space.srt 10.3 KB
- 04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.srt 10.2 KB
- 03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.srt 10.2 KB
- 02 - Markov Models/001 The Markov Property.srt 9.4 KB
- 04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.srt 9.3 KB
- 04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.srt 9.1 KB
- 04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).srt 9.1 KB
- 05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.srt 8.8 KB
- 04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.srt 8.6 KB
- 04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).srt 8.5 KB
- 04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.srt 8.5 KB
- 07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt 8.4 KB
- 05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.srt 8.0 KB
- 13 - Appendix FAQ Finale/002 BONUS.srt 7.8 KB
- 04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.srt 7.5 KB
- 04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).srt 7.3 KB
- 09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.srt 7.3 KB
- 03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.srt 7.0 KB
- 08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.srt 6.8 KB
- 10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.srt 6.6 KB
- 04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.srt 6.5 KB
- 01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.srt 6.5 KB
- 05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.srt 6.3 KB
- 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.srt 6.1 KB
- 09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.srt 6.0 KB
- 04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.srt 5.9 KB
- 04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).srt 5.6 KB
- 05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.srt 5.5 KB
- 06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.srt 5.3 KB
- 08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.srt 4.9 KB
- 03 - Markov Models Example Problems and Applications/006 Suggestion Box.srt 4.7 KB
- 03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.srt 4.6 KB
- 01 - Introduction and Outline/003 How to Succeed in this Course.srt 4.4 KB
- 06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.srt 4.4 KB
- 07 - HMMs for Classification/001 Unsupervised or Supervised.srt 3.9 KB
- 13 - Appendix FAQ Finale/001 What is the Appendix.srt 3.8 KB
- 03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.srt 3.6 KB
- 09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.srt 3.5 KB
- 07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.srt 3.5 KB
- 06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).srt 3.2 KB
- 04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.srt 2.6 KB
- 01 - Introduction and Outline/002 Github-Link.url 105 bytes
- 01 - Introduction and Outline/external-links.txt 102 bytes
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