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种子名称： [DesireCourse.Com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
文件类型： 视频
文件数目： 49个文件
文件大小： 710.41 MB
收录时间： 2019-1-25 00:12
已经下载： 3次
资源热度： 209
最近下载： 2025-1-24 02:08

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[DesireCourse.Com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python.torrent

01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp46.78MB

01 Introduction and Outline/002 Unsupervised or Supervised.mp45.27MB

01 Introduction and Outline/003 Where to get the Code and Data.mp42.09MB

01 Introduction and Outline/004 How to Succeed in this Course.mp48.78MB

02 Markov Models/005 The Markov Property.mp48.31MB

02 Markov Models/006 Markov Models.mp48.17MB

02 Markov Models/007 The Math of Markov Chains.mp49.04MB

03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp45.54MB

03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp44.63MB

03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp415.82MB

03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp426.93MB

03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp48.72MB

04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp410.17MB

04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp43.14MB

04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp47.34MB

04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp46.78MB

04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp46.03MB

04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp45.03MB

04 Hidden Markov Models for Discrete Observations/019 Visual Intuition for the Viterbi Algorithm.mp45.73MB

04 Hidden Markov Models for Discrete Observations/020 The Baum-Welch Algorithm.mp44.35MB

04 Hidden Markov Models for Discrete Observations/021 Baum-Welch Explanation and Intuition.mp411.96MB

04 Hidden Markov Models for Discrete Observations/022 Baum-Welch Updates for Multiple Observations.mp47.48MB

04 Hidden Markov Models for Discrete Observations/023 Discrete HMM in Code.mp447.42MB

04 Hidden Markov Models for Discrete Observations/024 The underflow problem and how to solve it.mp47.65MB

04 Hidden Markov Models for Discrete Observations/025 Discrete HMM Updates in Code with Scaling.mp429.14MB

04 Hidden Markov Models for Discrete Observations/026 Scaled Viterbi Algorithm in Log Space.mp49.23MB

05 Discrete HMMs Using Deep Learning Libraries/027 Gradient Descent Tutorial.mp48.43MB

05 Discrete HMMs Using Deep Learning Libraries/028 Theano Scan Tutorial.mp423.76MB

05 Discrete HMMs Using Deep Learning Libraries/029 Discrete HMM in Theano.mp430.74MB

05 Discrete HMMs Using Deep Learning Libraries/030 Improving our Gradient Descent-Based HMM.mp48MB

05 Discrete HMMs Using Deep Learning Libraries/031 Tensorflow Scan Tutorial.mp423.07MB

05 Discrete HMMs Using Deep Learning Libraries/032 Discrete HMM in Tensorflow.mp416.44MB

06 HMMs for Continuous Observations/033 Gaussian Mixture Models with Hidden Markov Models.mp46.27MB

06 HMMs for Continuous Observations/034 Generating Data from a Real-Valued HMM.mp414.94MB

06 HMMs for Continuous Observations/035 Continuous-Observation HMM in Code part 1.mp446.69MB

06 HMMs for Continuous Observations/036 Continuous-Observation HMM in Code part 2.mp415.28MB

06 HMMs for Continuous Observations/037 Continuous HMM in Theano.mp445.41MB

06 HMMs for Continuous Observations/038 Continuous HMM in Tensorflow.mp422.45MB

07 HMMs for Classification/039 Generative vs. Discriminative Classifiers.mp44.12MB

07 HMMs for Classification/040 HMM Classification on Poetry Data Robert Frost vs. Edgar Allan Poe.mp424.39MB

08 Bonus Example Parts-of-Speech Tagging/041 Parts-of-Speech Tagging Concepts.mp48.51MB

08 Bonus Example Parts-of-Speech Tagging/042 POS Tagging with an HMM.mp414.38MB

09 Appendix/043 Review of Gaussian Mixture Models.mp44.99MB

09 Appendix/044 Theano Tutorial.mp419.86MB

09 Appendix/045 Tensorflow Tutorial.mp413.88MB

09 Appendix/046 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB

09 Appendix/047 How to Code by Yourself part 1.mp424.53MB

09 Appendix/048 How to Code by Yourself part 2.mp414.8MB

09 Appendix/049 BONUS Where to get Udemy coupons and FREE deep learning material.mp44.02MB