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TORRENT DETAILS

Deep Learning Prerequisites The Numpy Stack In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	27027294827c09fe193c87daae869c3559401b42
Size:	666.6 MB in 75 files
Release Date(s):	Torrent Release: 14-11-2019 by user
Swarm:	0 Seeds & 0 Peers
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DESCRIPTION

Deep Learning Prerequisites: The Numpy Stack in Python

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
Rating - 4.5 (14,571 ratings)
196,554 students enrolled

Udemy link - https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/

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FILE LIST

Filename		Size
	1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4	10.1 MB
	1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.srt	8.2 KB
	1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp4	7.5 MB
	1. Introduction and Outline/2. Where to get the code (and how to install libraries).srt	4.9 KB
	1. Introduction and Outline/3. How will you practice what you've learned in this course.html	163 B
	1. Introduction and Outline/4. Python 2 or Python 3.mp4	1.8 MB
	1. Introduction and Outline/4. Python 2 or Python 3.srt	1.5 KB
	2. Numpy/1. Lists vs. Arrays.mp4	10.7 MB
	2. Numpy/1. Lists vs. Arrays.srt	7.5 KB
	2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4	8.2 MB
	2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.srt	5.6 KB
	2. Numpy/3. Dot product 2 Speed comparison.mp4	3.1 MB
	2. Numpy/3. Dot product 2 Speed comparison.srt	1.5 KB
	2. Numpy/4. Vectors and Matrices.mp4	6.2 MB
	2. Numpy/4. Vectors and Matrices.srt	4.7 KB
	2. Numpy/5. Generating Matrices to Work With.mp4	6.4 MB
	2. Numpy/5. Generating Matrices to Work With.srt	3.8 KB
	2. Numpy/6. Matrix Products.mp4	4.4 MB
	2. Numpy/6. Matrix Products.srt	3.3 KB
	2. Numpy/7. More Matrix Operations.mp4	12 MB
	2. Numpy/7. More Matrix Operations.srt	7.8 KB
	2. Numpy/8. Solving a Linear System.mp4	4.6 MB
	2. Numpy/8. Solving a Linear System.srt	2.9 KB
	2. Numpy/9. Word Problem.mp4	3.3 MB
	2. Numpy/9. Word Problem.srt	1.6 KB
	3. Pandas/1. Manual Data Loading.mp4	8.1 MB
	3. Pandas/1. Manual Data Loading.srt	5.6 KB
	3. Pandas/2. DataFrames.mp4	7 MB
	3. Pandas/2. DataFrames.srt	4.3 KB
	3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4	8.2 MB
	3. Pandas/3. More about DataFrames Selecting Rows and Columns.srt	5.3 KB
	3. Pandas/4. Even More about DataFrames Column Names.mp4	5.8 MB
	3. Pandas/4. Even More about DataFrames Column Names.srt	3.4 KB
	3. Pandas/5. The apply() Function.mp4	5.4 MB
	3. Pandas/5. The apply() Function.srt	3.2 KB
	3. Pandas/6. Joins.mp4	4 MB
	3. Pandas/6. Joins.srt	2.4 KB
	3. Pandas/7. .values vs .as_matrix().mp4	33.3 MB
	3. Pandas/7. .values vs .as_matrix().srt	8.8 KB
	4. Matplotlib/1. Line Chart.mp4	5.5 MB
	4. Matplotlib/1. Line Chart.srt	3.5 KB
	4. Matplotlib/2. Scatterplot.mp4	6.2 MB
	4. Matplotlib/2. Scatterplot.srt	3.4 KB
	4. Matplotlib/3. Histogram.mp4	6.5 MB
	4. Matplotlib/3. Histogram.srt	3.2 KB
	4. Matplotlib/4. Plotting Images.mp4	12.2 MB
	4. Matplotlib/4. Plotting Images.srt	5.5 KB
	5. Scipy/1. Gaussian PDF and CDF.mp4	8.5 MB
	5. Scipy/1. Gaussian PDF and CDF.srt	6 KB
	5. Scipy/2. Sampling from a Gaussian Distribution (1-D).mp4	4.5 MB
	5. Scipy/2. Sampling from a Gaussian Distribution (1-D).srt	1.7 KB
	5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4	7.5 MB
	5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).srt	2.9 KB
	5. Scipy/4. Sampling from a General Multivariate Normal.mp4	5 MB
	5. Scipy/4. Sampling from a General Multivariate Normal.srt	2.7 KB
	5. Scipy/5. Other Interesting Scipy Functions.mp4	10 MB
	5. Scipy/5. Other Interesting Scipy Functions.srt	6.5 KB
	6. Appendix FAQ/1. Exercises.mp4	16.7 MB
	6. Appendix FAQ/1. Exercises.srt	10.5 KB
	6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4	35 MB
	6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.srt	8.5 KB
	6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4	186.2 MB
	6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt	20.1 KB
	6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.9 MB
	6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.5 KB
	6. Appendix FAQ/5. Python 2 vs Python 3.mp4	19.1 MB
	6. Appendix FAQ/5. Python 2 vs Python 3.srt	6.1 KB
	6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4	78.3 MB
	6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.srt	14.1 KB
	6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4	29.3 MB
	6. Appendix FAQ/7. What order should I take your courses in (part 1).srt	16 KB
	6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4	37.6 MB
	6. Appendix FAQ/8. What order should I take your courses in (part 2).srt	23 KB
	6. Appendix FAQ/9. Where to get Udemy coupons and FREE deep learning material.mp4	4 MB
	6. Appendix FAQ/9. Where to get Udemy coupons and FREE deep learning material.srt	3.4 KB

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