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Deep Learning Prerequisites: The Numpy Stack in Python

Video Introducing this tutorial


Introduction and Outline :
What’s this course about? How can you succeed? What should you know first?
Where to get the code (and how to install libraries)
How will you practice what you've learned in this course?
1 question
Python 2 or Python 3?

Numpy :
Lists vs. Arrays
Dot product 1: For loop vs. cosine method vs. dot function
Dot product 2: Speed comparison
Vectors and Matrices
Generating Matrices to Work With
Matrix Products
More Matrix Operations
Solving a Linear System
Word Problem

Pandas :
Manual Data Loading
DataFrames
More about DataFrames: Selecting Rows and Columns
Even More about DataFrames: Column Names
The apply() Function
Joins

Matplotlib :
Line Chart
Scatterplot
Histogram
Plotting Images

Scipy :
Gaussian PDF and CDF
Sampling from a Gaussian Distribution (1-D)
Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical)
Sampling from a General Multivariate Normal
Other Interesting Scipy Functions

Appendix :
Exercises
Bonus Section on Machine Learning Basics
Windows-Focused Environment Setup 2018
How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow
Python 2 vs Python 3
Proof that using Jupyter Notebook is the same as not using it
What order should I take your courses in? (part 1)
What order should I take your courses in? (part 2)
Where to get Udemy coupons and FREE deep learning material