Udemy - Deep Learning Prerequisites: The Numpy Stack in Python V2

Numpy, Scipy, Pandas, and Matplotlib: prep for deep learning, machine learning, and artificial intelligence.
Basic operations in Numpy, Scipy, Pandas, and Matplotlib.
Vector, Matrix, and Tensor manipulation.
Visualizing data.
Reading, writing, and manipulating DataFrames.

Description​

Welcome! This is Deep Learning, Machine Learning, and Data Science—prerequisites: The Numpy Stack in Python (V2).
I created this course because many students experience a huge gap between machine learning "theory" and writing actual code.
As I've always said: "If you can't implement it, then you don't understand it".
Without basic knowledge of data manipulation, vectors, and matrices, students are not able to put their great ideas into working form on a computer.
This course closes that gap by teaching you all the basic operations needed to implement machine learning and deep learning algorithms.
The goal is that, after you take this course, you will learn about machine learning algorithms and implement those algorithms in code using the tools and techniques you learned in this course.

Suggested Prerequisites:

• linear algebra
• probability
• Python Programming

Who this course is for:​

• Anyone who wants to implement Machine Learning algorithms

LIMITED TIME ONLY​

You do not have permission to view the full content of this post. Log in or register now.

​