Linear Algebra for Data Science in Python

By: 365 Careers Ltd.

Write A Review

eText | 19 July 2019 | Edition Number 1

At a Glance

Format
PDF

eText

$155.09

or 4 interest-free payments of $38.77 with

Instant online reading in your Booktopia eTextbook Library *

Read online on

Desktop

Tablet

Mobile

Not downloadable to your eReader or an app

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This is a straightforward course to learn Linear Algebra Fundamentals for Data Science in Python. Vectorizing your code is an essential skill to make your calculations faster and take advantage of the full capabilities of modern machine and deep learning packages. In this course, you will learn about scalars, vectors, and matrices. You will see how and why to use linear algebra in your Python code and the geometrical meaning of these objects. Addition, subtraction and dot product are only some of the operations you will be able to perform. We will also look into the different syntactical errors you can encounter while vectorizing your code to make sure you have acquired the skills to use linear algebra in your data science projects.

All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Linear-Algebra-for-Data-Science-in-Python