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[FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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视频 2021-5-26 15:25 2024-11-7 08:45 243 1.73 GB 50
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FreeCourseSite com Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2

文件列表
  1. 1. Welcome and Logistics/1. Introduction and Outline.mp460.48MB
  2. 1. Welcome and Logistics/5. Extra Resources.mp425.3MB
  3. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).mp429.32MB
  4. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp437.62MB
  5. 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp437.85MB
  6. 2. Numpy (New)/1. Numpy Section Introduction.mp424.07MB
  7. 2. Numpy (New)/10. Suggestion Box.mp416.13MB
  8. 2. Numpy (New)/2. Arrays vs Lists.mp450.77MB
  9. 2. Numpy (New)/3. Dot Product.mp426.33MB
  10. 2. Numpy (New)/4. Speed Test.mp414.74MB
  11. 2. Numpy (New)/5. Matrices.mp457.19MB
  12. 2. Numpy (New)/6. Solving Linear Systems.mp414.42MB
  13. 2. Numpy (New)/7. Generating Data.mp463.17MB
  14. 2. Numpy (New)/8. Numpy Exercise.mp44.69MB
  15. 2. Numpy (New)/9. Where to Learn More Numpy.mp438.86MB
  16. 3. Matplotlib (New)/1. Matplotlib Section Introduction.mp414.74MB
  17. 3. Matplotlib (New)/2. Line Chart.mp416.15MB
  18. 3. Matplotlib (New)/3. Scatterplot.mp417.9MB
  19. 3. Matplotlib (New)/4. Histogram.mp410.35MB
  20. 3. Matplotlib (New)/5. Plotting Images.mp438.63MB
  21. 3. Matplotlib (New)/6. Matplotlib Exercise.mp412.38MB
  22. 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp477.12MB
  23. 4. Pandas (New)/1. Pandas Section Introduction.mp45.88MB
  24. 4. Pandas (New)/2. Loading in Data.mp423.61MB
  25. 4. Pandas (New)/3. Selecting Rows and Columns.mp449.12MB
  26. 4. Pandas (New)/4. The apply() Function.mp410.43MB
  27. 4. Pandas (New)/5. Plotting with Pandas.mp413.38MB
  28. 4. Pandas (New)/6. Pandas Exercise.mp413.5MB
  29. 4. Pandas (New)/7. Where to Learn More Pandas.mp425.57MB
  30. 5. Scipy (New)/1. Scipy Section Introduction.mp46.31MB
  31. 5. Scipy (New)/2. PDF and CDF.mp414.49MB
  32. 5. Scipy (New)/3. Convolution.mp421.5MB
  33. 5. Scipy (New)/4. Scipy Exercise.mp46.38MB
  34. 5. Scipy (New)/5. Where to Learn More Scipy.mp438.94MB
  35. 6. Bonus Exercises/1. More Exercises.mp416.7MB
  36. 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp438.88MB
  37. 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.mp436.72MB
  38. 7. Machine Learning Basics/11. Machine Learning Section Summary.mp421.42MB
  39. 7. Machine Learning Basics/2. What is Classification.mp462.21MB
  40. 7. Machine Learning Basics/3. Classification in Code.mp4125.44MB
  41. 7. Machine Learning Basics/4. What is Regression.mp443.2MB
  42. 7. Machine Learning Basics/5. Regression in Code.mp461.85MB
  43. 7. Machine Learning Basics/6. What is a Feature Vector.mp432.83MB
  44. 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.mp419.26MB
  45. 7. Machine Learning Basics/8. All Data is the Same.mp421.34MB
  46. 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp445.51MB
  47. 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4186.24MB
  48. 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB
  49. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.mp419.1MB
  50. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp478.28MB
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