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unsupervised machine learning hidden markov models python

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Files:: 129
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Uploaded On:: Dec. 28, 2020, 6:16 a.m.
Added By:: tuts756
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Info Hash:: E8A07608D69660775F41C9520BD56B383C6EF9C3

Description The Hidden Markov Model or HMM is all about learning sequences. A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you’re going to default. In short, sequences are everywhere, and being able to analyze them is an important skill in your data science toolbox. The easiest way to appreciate the kind of information you get from a sequence is to consider what you are reading right now. If I had written the previous sentence backwards, it wouldn’t make much sense to you, even though it contained all the same words. So order is important. While the current fad in deep learning is to use recurrent neural networks to model sequences, I want to first introduce you guys to a machine learning algorithm that has been around for several decades now – the Hidden Markov Model. This course follows directly from my first course in Unsupervised Machine Learning for Cluster Analysis, where you learned how to measure the probability distribution of a random variable. In this course, you’ll learn to measure the probability distribution of a sequence of random variables. You guys know how much I love deep learning, so there is a little twist in this course. We’ve already covered gradient descent and you know how central it is for solving deep learning problems. I claimed that gradient descent could be used to optimize any objective function. In this course I will show you how you can use gradient descent to solve for the optimal parameters of an HMM, as an alternative to the popular expectation-maximization algorithm. We’re going to do it in Theano and Tensorflow, which are popular libraries for deep learning. This is also going to teach you how to work with sequences in Theano and Tensorflow, which will be very useful when we cover recurrent neural networks and LSTMs. This course is also going to go through the many practical applications of Markov models and hidden Markov models. We’re going to look at a model of sickness and health, and calculate how to predict how long you’ll stay sick, if you get sick. We’re going to talk about how Markov models can be used to analyze how people interact with your website, and fix problem areas like high bounce rate, which could be affecting your SEO. We’ll build language models that can be used to identify a writer and even generate text – imagine a machine doing your writing for you. HMMs have been very successful in natural language processing or NLP. We’ll look at what is possibly the most recent and prolific application of Markov models – Google’s PageRank algorithm. And finally we’ll discuss even more practical applications of Markov models, including generating images, smartphone autosuggestions, and using HMMs to answer one of the most fundamental questions in biology – how is DNA, the code of life, translated into physical or behavioral attributes of an organism? All of the materials of this course can be downloaded and installed for FREE. We will do most of our work in Numpy and Matplotlib, along with a little bit of Theano. I am always available to answer your questions and help you along your data science journey. This course focuses on “how to build and understand“, not just “how to use”. Anyone can learn to use an API in 15 minutes after reading some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you. See you in class! “If you can’t implement it, you don’t understand it” Or as the great physicist Richard Feynman said: “What I cannot create, I do not understand”. My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code? After doing the same thing with 10 datasets, you realize you didn’t learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times… Suggested Prerequisites: calculus linear algebra probability Be comfortable with the multivariate Gaussian distribution Python coding: if/else, loops, lists, dicts, sets Numpy coding: matrix and vector operations, loading a CSV file WHAT ORDER SHOULD I TAKE YOUR COURSES IN?: Check out the lecture “Machine Learning and AI Prerequisite Roadmap” (available in the FAQ of any of my courses, including the free Numpy course) Who this course is for: Students and professionals who do data analysis, especially on sequence data Professionals who want to optimize their website experience Students who want to strengthen their machine learning knowledge and practical skillset Students and professionals interested in DNA analysis and gene expression Students and professionals interested in modeling language and generating text from a model Requirements Familiarity with probability and statistics Understand Gaussian mixture models Be comfortable with Python and Numpy Last Updated 12/2020

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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 186.3 MB
TutsNode.com.txt 63 bytes
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp4 6.8 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/1. Introduction and Outline/3. Where to get the Code and Data.mp4 2.1 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/2. Markov Models/1. The Markov Property.mp4 24.1 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp4 5.5 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 26.9 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp4 8.7 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp4 10.2 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 42.3 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 31.3 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/4. The 3 Problems of an HMM.mp4 28.0 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 65.1 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/6. The Forward-Backward Algorithm (part 2).mp4 27.6 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/8. The Viterbi Algorithm (part 1).mp4 27.6 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/10. HMM Training (part 1).mp4 20.6 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 40.0 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 60.1 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 55.6 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 33.9 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/15. Baum-Welch Updates for Multiple Observations.mp4 7.5 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/15. Baum-Welch Updates for Multiple Observations.srt 5.9 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 47.4 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/17. The underflow problem and how to solve it.mp4 7.7 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/18. Discrete HMM Updates in Code with Scaling.mp4 29.1 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/19. Scaled Viterbi Algorithm in Log Space.mp4 9.2 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 22.8 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 23.8 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.srt 12.8 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 30.7 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 25.9 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.srt 6.4 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 23.1 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp4 16.4 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.srt 8.9 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp4 16.5 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.srt 5.2 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp4 14.9 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.srt 4.6 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 46.7 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).srt 13.1 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp4 15.3 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).srt 3.3 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 45.4 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 22.5 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.srt 10.8 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp4 4.1 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.srt 3.6 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 24.4 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt 8.8 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp4 8.5 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.srt 7.0 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp4 14.4 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.srt 5.2 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/9. Theano, Tensorflow, and Machine Learning Basics Review/1. (Review) Gaussian Mixture Models.mp4 5.0 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/9. Theano, Tensorflow, and Machine Learning Basics Review/1. (Review) Gaussian Mixture Models.srt 3.7 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/9. Theano, Tensorflow, and Machine Learning Basics Review/2. (Review) Theano Tutorial.mp4 19.9 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/9. Theano, Tensorflow, and Machine Learning Basics Review/2. (Review) Theano Tutorial.srt 7.9 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/9. Theano, Tensorflow, and Machine Learning Basics Review/3. (Review) Tensorflow Tutorial.mp4 13.9 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/9. Theano, Tensorflow, and Machine Learning Basics Review/3. (Review) Tensorflow Tutorial.srt 5.9 KB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt 20.1 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.5 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 24.5 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).srt 22.8 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 14.8 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).srt 13.3 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.srt 14.1 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 7.8 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.srt 6.1 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 18.3 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).srt 14.5 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.8 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.3 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.6 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.0 KB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/13. Appendix FAQ Finale/1. What is the Appendix.mp4 5.5 MB
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[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/13. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.8 MB
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/13. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 7.9 KB

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