Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)

磁力链接/BT种子名称

Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)

磁力链接/BT种子简介

种子哈希：e9cd6ab2f8d7ce194db3dbc118eb210270d51e33
文件大小： 1.91G
已经下载：174次
下载速度：极快
收录时间：2025-07-09
最近下载：2025-10-08

地址随时变，回家记住路

小野猫.com黑猫警长.com哆啦a猫.com御猫.com科目三.com猫哭老鼠.com女猫.com☜☜☜找最新地址请保存左面网址

磁力链接

magnet:?xt=urn:btih:E9CD6AB2F8D7CE194DB3DBC118EB210270D51E33
推荐使用PIKPAK网盘下载资源，PIKPAK是目前最好用网盘，10T超大空间，不和谐任何资源，支持无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 在线观看 世界之窗 含羞草 极乐禁地 91视频 51品茶 逼哩逼哩 萝莉岛 欲漫涩 91短视频 成人快手 抖阴破解版 ai色色 pilipili 草榴社区 哆哔涩漫 好色先生 疯马秀 TikTok成人版 悠悠禁区 波多 听泉鉴鲍 xvideo 外网天堂 PornHub 抖音Max 呦乐园 拔萝卜 糖心视频 麻豆Vlog 暗网Xvideo

资源截图

API Integration

最近搜索

文件列表

  • 10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4 176.2 MB
  • 10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.5 MB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.1 MB
  • 01 - Introduction and Outline/002 Where to get the Code and Data.mp4 76.8 MB
  • 04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.mp4 72.9 MB
  • 06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.mp4 68.4 MB
  • 06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.mp4 67.4 MB
  • 02 - Markov Models/004 The Math of Markov Chains.mp4 61.8 MB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
  • 06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).mp4 56.9 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.mp4 53.0 MB
  • 02 - Markov Models/002 Markov Models.mp4 48.1 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 44.5 MB
  • 06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).mp4 43.7 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.mp4 43.5 MB
  • 09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.mp4 42.7 MB
  • 13 - Appendix FAQ Finale/002 BONUS.mp4 41.9 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 38.9 MB
  • 07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 36.4 MB
  • 04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.mp4 35.9 MB
  • 01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 35.8 MB
  • 02 - Markov Models/003 Probability Smoothing and Log-Space.mp4 35.7 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.mp4 35.3 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.mp4 35.3 MB
  • 02 - Markov Models/001 The Markov Property.mp4 33.8 MB
  • 03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.mp4 31.2 MB
  • 03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.mp4 31.1 MB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 28.8 MB
  • 04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).mp4 28.6 MB
  • 03 - Markov Models Example Problems and Applications/006 Suggestion Box.mp4 28.5 MB
  • 04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).mp4 27.3 MB
  • 04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).mp4 25.2 MB
  • 09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.mp4 24.5 MB
  • 04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).mp4 22.9 MB
  • 06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.mp4 22.0 MB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4 21.9 MB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4 18.7 MB
  • 01 - Introduction and Outline/003 How to Succeed in this Course.mp4 17.0 MB
  • 04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).mp4 16.7 MB
  • 08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.mp4 16.1 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.mp4 15.9 MB
  • 04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.mp4 15.8 MB
  • 04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.mp4 14.0 MB
  • 04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.mp4 13.3 MB
  • 03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.mp4 12.9 MB
  • 04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).mp4 12.6 MB
  • 04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.mp4 12.1 MB
  • 04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).mp4 11.8 MB
  • 04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.mp4 11.5 MB
  • 04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).mp4 11.0 MB
  • 04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.mp4 10.8 MB
  • 05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.mp4 10.6 MB
  • 08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.mp4 10.2 MB
  • 04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.mp4 9.9 MB
  • 10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.mp4 9.4 MB
  • 04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.mp4 9.3 MB
  • 04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).mp4 8.5 MB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4 8.0 MB
  • 06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.mp4 7.5 MB
  • 07 - HMMs for Classification/001 Unsupervised or Supervised.mp4 7.0 MB
  • 13 - Appendix FAQ Finale/001 What is the Appendix.mp4 6.4 MB
  • 07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.mp4 5.6 MB
  • 03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.mp4 5.4 MB
  • 09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.mp4 4.9 MB
  • 03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.mp4 4.5 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 32.6 kB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).srt 24.1 kB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).srt 23.1 kB
  • 04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).srt 20.4 kB
  • 10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.srt 20.2 kB
  • 02 - Markov Models/004 The Math of Markov Chains.srt 19.8 kB
  • 04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).srt 18.6 kB
  • 01 - Introduction and Outline/002 Where to get the Code and Data.srt 17.3 kB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).srt 17.0 kB
  • 02 - Markov Models/002 Markov Models.srt 16.9 kB
  • 04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).srt 16.5 kB
  • 05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.srt 15.4 kB
  • 04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.srt 15.1 kB
  • 12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).srt 15.1 kB
  • 10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.6 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 14.4 kB
  • 04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).srt 14.1 kB
  • 03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.srt 13.7 kB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).srt 13.6 kB
  • 06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).srt 12.7 kB
  • 05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.srt 12.5 kB
  • 04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).srt 11.9 kB
  • 06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.srt 11.6 kB
  • 06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.srt 11.0 kB
  • 02 - Markov Models/003 Probability Smoothing and Log-Space.srt 10.5 kB
  • 04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.srt 10.5 kB
  • 03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.srt 10.5 kB
  • 02 - Markov Models/001 The Markov Property.srt 9.7 kB
  • 04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.srt 9.5 kB
  • 04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.srt 9.3 kB
  • 04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).srt 9.3 kB
  • 05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.srt 9.0 kB
  • 04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.srt 8.8 kB
  • 04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).srt 8.7 kB
  • 04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.srt 8.7 kB
  • 07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt 8.6 kB
  • 05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.srt 8.2 kB
  • 13 - Appendix FAQ Finale/002 BONUS.srt 8.0 kB
  • 04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.srt 7.7 kB
  • 04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).srt 7.5 kB
  • 09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.srt 7.5 kB
  • 03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.srt 7.2 kB
  • 08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.srt 6.9 kB
  • 10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.srt 6.8 kB
  • 04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.srt 6.7 kB
  • 01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.srt 6.6 kB
  • 05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.srt 6.5 kB
  • 11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.srt 6.2 kB
  • 09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.srt 6.1 kB
  • 04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.srt 6.0 kB
  • 04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).srt 5.7 kB
  • 05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.srt 5.6 kB
  • 06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.srt 5.4 kB
  • 08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.srt 5.1 kB
  • 03 - Markov Models Example Problems and Applications/006 Suggestion Box.srt 4.9 kB
  • 03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.srt 4.8 kB
  • 01 - Introduction and Outline/003 How to Succeed in this Course.srt 4.5 kB
  • 06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.srt 4.5 kB
  • 07 - HMMs for Classification/001 Unsupervised or Supervised.srt 4.0 kB
  • 13 - Appendix FAQ Finale/001 What is the Appendix.srt 3.9 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 3.6 kB
  • 07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.srt 3.6 kB
  • 06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).srt 3.3 kB
  • 04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.srt 2.7 kB
  • 01 - Introduction and Outline/002 Github-Link.url 105 Bytes
  • 01 - Introduction and Outline/external-links.txt 102 Bytes

温馨提示

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！