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【影视】 [GigaCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2
收录时间:2023-12-17 文档个数:113 文档大小:2.4 GB 最近下载:2025-05-15 人气:2373 磁力链接
  • mp49 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
  • mp48 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
  • mp49 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
  • mp411 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • mp411 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
  • mp47 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
  • mp410 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • mp42 - Numpy New/9 - Generating Data.mp4 90.7 MB
  • mp48 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
  • mp48 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
  • mp412 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
  • mp41 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
  • mp42 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
  • mp43 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
  • mp42 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
  • mp48 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
  • mp48 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
  • mp42 - Numpy New/7 - Matrices.mp4 36.5 MB
  • mp48 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
  • mp48 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB
【影视】 [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2
收录时间:2024-10-06 文档个数:108 文档大小:2.4 GB 最近下载:2025-05-15 人气:297 磁力链接
  • mp49 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
  • mp48 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
  • mp49 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
  • mp411 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • mp411 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
  • mp47 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
  • mp410 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • mp42 - Numpy New/9 - Generating Data.mp4 90.7 MB
  • mp48 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
  • mp48 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
  • mp412 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
  • mp41 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
  • mp42 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
  • mp43 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
  • mp42 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
  • mp48 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
  • mp48 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
  • mp42 - Numpy New/7 - Matrices.mp4 36.5 MB
  • mp48 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
  • mp48 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB
【影视】 [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
收录时间:2021-03-06 文档个数:106 文档大小:1.9 GB 最近下载:2025-05-16 人气:464 磁力链接
  • mp48. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp47. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • mp49. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • mp47. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • mp47. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp47. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • mp48. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp47. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • mp45. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • mp47. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • mp42. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp411. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp410. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
【影视】 [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
收录时间:2021-03-20 文档个数:106 文档大小:1.9 GB 最近下载:2025-05-16 人气:1626 磁力链接
  • mp48. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp47. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • mp49. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • mp47. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • mp47. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp47. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • mp48. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp47. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • mp45. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • mp47. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • mp42. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp411. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp410. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]
收录时间:2021-03-07 文档个数:103 文档大小:1.9 GB 最近下载:2025-05-15 人气:2115 磁力链接
  • mp48. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp47. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • mp49. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • mp47. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • mp47. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp47. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • mp48. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp47. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • mp45. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • mp47. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • mp42. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp411. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp410. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]
收录时间:2024-05-25 文档个数:103 文档大小:1.9 GB 最近下载:2025-05-16 人气:302 磁力链接
  • mp48. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp47. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • mp49. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • mp47. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • mp47. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp47. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • mp48. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp47. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • mp45. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • mp47. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • mp42. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp411. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp410. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
【影视】 Deep Learning Prerequisites The Numpy Stack in Python (V2+)
收录时间:2021-03-13 文档个数:102 文档大小:1.9 GB 最近下载:2025-05-16 人气:2464 磁力链接
  • mp4[TutsNode.com] - Deep Learning Prerequisites/08 Setting Up Your Environment (FAQ by Student Request)/044 Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/035 Classification in Code.mp4 131.5 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/047 Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/03 Matplotlib (New)/019 Where to Learn More Matplotlib.mp4 80.9 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/009 Generating Data.mp4 66.2 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/034 What is Classification_.mp4 65.2 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/037 Regression in Code.mp4 64.9 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/01 Welcome and Logistics/001 Introduction and Outline.mp4 63.4 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/007 Matrices.mp4 60.0 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/004 Arrays vs Lists.mp4 53.2 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/04 Pandas (New)/022 Selecting Rows and Columns.mp4 51.5 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/041 Comparing Different Machine Learning Models.mp4 47.7 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/08 Setting Up Your Environment (FAQ by Student Request)/045 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/036 What is Regression_.mp4 45.3 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/05 Scipy (New)/031 Where to Learn More Scipy.mp4 40.8 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/07 Machine Learning Basics/033 Machine Learning_ Section Introduction.mp4 40.8 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/02 Numpy (New)/011 Where to Learn More Numpy.mp4 40.7 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/03 Matplotlib (New)/017 Plotting Images.mp4 40.5 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/11 Appendix _ FAQ Finale/050 BONUS_ Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp4[TutsNode.com] - Deep Learning Prerequisites/10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)/049 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
【影视】 c.suite setup 4.5.6 with prerequisites
收录时间:2021-04-04 文档个数:18 文档大小:1.7 GB 最近下载:2025-05-15 人气:1148 磁力链接
  • mp4c.suite Video/2. Разработка стратегии управления в модуле c.Strategy.mp4 499.3 MB
  • exePrerequisites_setup.exe 397.8 MB
  • mp4c.suite Video/3. Разработка пользовательского интерфейса в модуле c.Mask.mp4 255.7 MB
  • exeCarel c.strategy_4.5.6.exe 122.2 MB
  • exec.touch 2.9.0.601 installer.exe 115.1 MB
  • exec.web_2.5.9_setup.exe 88.2 MB
  • mp4c.suite Video/4. Конфигурирование внешних связей контроллера в модуле c.Design.mp4 75.7 MB
  • exeCarel c.factory_4.5.6.exe 50.3 MB
  • exeCarel c.mask_4.5.6.exe 31.8 MB
  • exeCarel c.design_4.5.6.exe 28.4 MB
  • mp4c.suite Video/31-Overview_LD_SFC_languages.mp4 26.8 MB
  • mp4c.suite Video/1. Введение Общая информация о среде разработки c.Suite.mp4 15.7 MB
  • exeCarel Virtual pCO_4.5.6.exe 1.2 MB
  • pdfc.suite Video/1tool-c.suite tips_and_tricks.pdf 1.0 MB
  • exeLibraries_setup.exe 886.2 kB
  • exeSetup.exe 295.4 kB
  • PNGc.suite Video/DeviceCreator1.PNG 111.4 kB
  • PNGc.suite Video/DeviceCreator2.PNG 87.9 kB
【影视】 B&W Photography. Shoot Prerequisites
收录时间:2017-07-27 文档个数:5 文档大小:1.4 GB 最近下载:2025-05-15 人气:2604 磁力链接
  • mp400-03-Prerequisite-Exposure Essentials.mp4 485.1 MB
  • mp400-04-Prerequisite-Camera Gear.mp4 385.2 MB
  • mp400-05-Prerequisite-Lighting Essentials.mp4 278.8 MB
  • mp400-02-Prerequisite-Camera Settings.mp4 202.9 MB
  • mp400-01-Prerequisite-Introduction.mp4 32.6 MB
【影视】 [GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
收录时间:2021-04-16 文档个数:119 文档大小:1.3 GB 最近下载:2025-05-14 人气:660 磁力链接
  • mp47. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • srt2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 84.1 MB
  • srt7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 82.1 MB
  • mp47. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • srt4. Practical concerns/11. Practical Section Summary.srt 82.1 MB
  • mp41. Start Here/1. Introduction and Outline.mp4 49.2 MB
  • mp47. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp47. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • mp47. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • mp47. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 39.4 MB
  • mp47. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 30.7 MB
  • mp42. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
  • mp43. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
  • mp44. Practical concerns/8. The donut problem.mp4 25.9 MB
  • mp47. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp46. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
  • mp44. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
  • mp47. Appendix FAQ/2. Gradient Descent Tutorial.mp4 23.9 MB
  • mp46. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • mp43. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB
【影视】 tutsgalaxy.-com-udemy-deep-learning-prerequisites-linear-regression-in-python
收录时间:2023-12-17 文档个数:106 文档大小:1.3 GB 最近下载:2025-04-25 人气:203 磁力链接
  • mp46. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp46. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • srt6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
  • mp41. Welcome/1. Welcome.mp4 52.1 MB
  • srt6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
  • mp46. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp46. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • srt4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
  • mp46. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp46. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • srt6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
  • mp46. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • mp42. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • mp46. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp44. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • mp44. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • mp42. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • srt6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
  • mp42. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
收录时间:2023-12-21 文档个数:102 文档大小:1.3 GB 最近下载:2025-02-06 人气:139 磁力链接
  • mp46. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp46. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • srt6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
  • mp41. Welcome/1. Welcome.mp4 52.1 MB
  • srt6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
  • mp46. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • srt4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
  • mp46. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • mp46. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp46. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • srt6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
  • mp46. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • mp42. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • mp46. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp44. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • mp44. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • mp42. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • srt6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
  • mp42. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python
收录时间:2022-01-10 文档个数:122 文档大小:1.2 GB 最近下载:2025-05-13 人气:1095 磁力链接
  • mp48/1. Anaconda Environment Setup.mp4 195.3 MB
  • mp49. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp41. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
  • mp48/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • mp41. Start Here/2. How to Succeed in this Course.mp4 45.9 MB
  • mp41. Start Here/1. Introduction and Outline.mp4 41.3 MB
  • mp410/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • srt11. Appendix FAQ Finale/2. BONUS.srt 39.7 MB
  • mp411. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
  • mp410/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • mp410/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • mp42/5. Interpretation of Logistic Regression Output.mp4 29.3 MB
  • mp43. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
  • mp44. Practical concerns/8. The donut problem.mp4 25.9 MB
  • mp49. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp46. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
  • mp44. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
  • mp47. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
  • mp46. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • mp43. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python
收录时间:2021-03-29 文档个数:114 文档大小:1.2 GB 最近下载:2025-02-07 人气:768 磁力链接
  • mp48. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp49. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • mp41. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
  • mp48. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp410. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • mp411. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
  • mp410. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
  • mp410. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
  • mp41. Start Here/2. How to Succeed in this Course.mp4 29.3 MB
  • mp44. Practical concerns/8. The donut problem.mp4 25.9 MB
  • mp42/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • mp49. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp46. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
  • mp44. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
  • mp47. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
  • mp46. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • mp42/9. Moore's Law Derivation.mp4 21.2 MB
  • mp42/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • mp42/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
收录时间:2021-04-01 文档个数:113 文档大小:1.2 GB 最近下载:2025-05-06 人气:453 磁力链接
  • mp46. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp41. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
  • mp47. 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 82.1 MB
  • mp41. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
  • mp41. Welcome/1. Welcome.mp4 52.1 MB
  • mp46. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp48/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • mp49. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp48/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • mp43. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
  • mp48/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • mp42. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • mp47. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp44. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • mp44. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • mp42. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
  • mp42. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • mp48/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • mp42. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
  • mp44. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
收录时间:2022-05-12 文档个数:76 文档大小:1.2 GB 最近下载:2025-05-16 人气:561 磁力链接
  • mp46. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp46. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.3 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp46. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp46. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp46. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
  • mp46. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
  • mp46. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
  • mp42. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • mp41. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
  • mp42. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
  • mp44. Pandas (New)/2. Loading in Data.mp4 24.8 MB
  • mp45. Scipy (New)/3. Convolution.mp4 22.5 MB
  • mp46. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
  • mp43. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
收录时间:2021-03-22 文档个数:78 文档大小:1.2 GB 最近下载:2025-03-09 人气:71 磁力链接
  • mp46. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp46. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp46. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp46. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp46. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
  • mp46. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
  • mp46. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
  • mp42. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • mp41. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
  • mp42. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
  • mp44. Pandas (New)/2. Loading in Data.mp4 24.8 MB
  • mp45. Scipy (New)/3. Convolution.mp4 22.5 MB
  • mp46. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
  • mp43. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
【影视】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
收录时间:2021-03-08 文档个数:85 文档大小:1.2 GB 最近下载:2025-05-15 人气:1200 磁力链接
  • mp46. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp46. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp42. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • mp41. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • mp42. Numpy (New)/5. Matrices.mp4 60.0 MB
  • mp42. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • mp44. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • mp46. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • mp43. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • mp46. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp46. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
  • mp46. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
  • mp46. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
  • mp42. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • mp41. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
  • mp42. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
  • mp44. Pandas (New)/2. Loading in Data.mp4 24.8 MB
  • mp45. Scipy (New)/3. Convolution.mp4 22.5 MB
  • mp46. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
  • mp43. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
收录时间:2021-04-18 文档个数:108 文档大小:1.2 GB 最近下载:2025-01-20 人气:72 磁力链接
  • mp46. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • mp47. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • mp43. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • mp41. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
  • mp41. Welcome/1. Welcome.mp4 52.1 MB
  • mp46. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • mp48. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • mp49. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • mp48. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
  • mp48. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
  • mp41. Welcome/4. How to Succeed in this Course.mp4 29.3 MB
  • mp42. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • mp47. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp44. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • mp44. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • mp42. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
  • mp42. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • mp42. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • mp48. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • mp42. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.3 MB
【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
收录时间:2022-01-15 文档个数:110 文档大小:1.1 GB 最近下载:2025-05-13 人气:795 磁力链接
  • mp46. Setting Up Your Environment (FAQ by Student Request)/1. Anaconda Environment Setup.mp4 195.3 MB
  • mp47. 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 82.1 MB
  • mp41. Welcome/3. Statistics vs. Machine Learning.mp4 58.2 MB
  • mp46. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • mp41. Welcome/2. How to Succeed in this Course.mp4 46.0 MB
  • mp41. Welcome/1. Introduction and Outline.mp4 44.8 MB
  • mp48/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • mp49. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
  • mp48/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • mp43. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
  • mp48/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • mp42. 1-D Linear Regression Theory and Code/4. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • mp47. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • mp44. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • mp44. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • mp42. 1-D Linear Regression Theory and Code/11. Moore's Law Derivation.mp4 21.2 MB
  • mp42. 1-D Linear Regression Theory and Code/3. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • mp48/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • mp42. 1-D Linear Regression Theory and Code/10. Demonstrating Moore's Law in Code.mp4 18.3 MB
  • mp44. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB

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