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种子名称： [FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
文件类型： 视频
文件数目： 50个文件
文件大小： 1.73 GB
收录时间： 2021-5-26 15:25
已经下载： 3次
资源热度： 251
最近下载： 2024-12-22 11:43

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

1. Welcome and Logistics/1. Introduction and Outline.mp460.48MB

1. Welcome and Logistics/5. Extra Resources.mp425.3MB

10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).mp429.32MB

10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp437.62MB

11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp437.85MB

2. Numpy (New)/1. Numpy Section Introduction.mp424.07MB

2. Numpy (New)/10. Suggestion Box.mp416.13MB

2. Numpy (New)/2. Arrays vs Lists.mp450.77MB

2. Numpy (New)/3. Dot Product.mp426.33MB

2. Numpy (New)/4. Speed Test.mp414.74MB

2. Numpy (New)/5. Matrices.mp457.19MB

2. Numpy (New)/6. Solving Linear Systems.mp414.42MB

2. Numpy (New)/7. Generating Data.mp463.17MB

2. Numpy (New)/8. Numpy Exercise.mp44.69MB

2. Numpy (New)/9. Where to Learn More Numpy.mp438.86MB

3. Matplotlib (New)/1. Matplotlib Section Introduction.mp414.74MB

3. Matplotlib (New)/2. Line Chart.mp416.15MB

3. Matplotlib (New)/3. Scatterplot.mp417.9MB

3. Matplotlib (New)/4. Histogram.mp410.35MB

3. Matplotlib (New)/5. Plotting Images.mp438.63MB

3. Matplotlib (New)/6. Matplotlib Exercise.mp412.38MB

3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp477.12MB

4. Pandas (New)/1. Pandas Section Introduction.mp45.88MB

4. Pandas (New)/2. Loading in Data.mp423.61MB

4. Pandas (New)/3. Selecting Rows and Columns.mp449.12MB

4. Pandas (New)/4. The apply() Function.mp410.43MB

4. Pandas (New)/5. Plotting with Pandas.mp413.38MB

4. Pandas (New)/6. Pandas Exercise.mp413.5MB

4. Pandas (New)/7. Where to Learn More Pandas.mp425.57MB

5. Scipy (New)/1. Scipy Section Introduction.mp46.31MB

5. Scipy (New)/2. PDF and CDF.mp414.49MB

5. Scipy (New)/3. Convolution.mp421.5MB

5. Scipy (New)/4. Scipy Exercise.mp46.38MB

5. Scipy (New)/5. Where to Learn More Scipy.mp438.94MB

6. Bonus Exercises/1. More Exercises.mp416.7MB

7. Machine Learning Basics/1. Machine Learning Section Introduction.mp438.88MB

7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.mp436.72MB

7. Machine Learning Basics/11. Machine Learning Section Summary.mp421.42MB

7. Machine Learning Basics/2. What is Classification.mp462.21MB

7. Machine Learning Basics/3. Classification in Code.mp4125.44MB

7. Machine Learning Basics/4. What is Regression.mp443.2MB

7. Machine Learning Basics/5. Regression in Code.mp461.85MB

7. Machine Learning Basics/6. What is a Feature Vector.mp432.83MB

7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.mp419.26MB

7. Machine Learning Basics/8. All Data is the Same.mp421.34MB

7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp445.51MB

8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4186.24MB

8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB

9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.mp419.1MB

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