Description

InformIT – Linear Algebra for Machine Learning 2020-12 is a InformIT course taught by Jon Krohn. Language: English; Duration: 6 hours and 32 minutes; 58 lessons.

What you will learn

The material covers mathematics.
The material covers algorithms.

Course specifications

Publisher: InformIT
Instructors: Jon Krohn
Language: English
Level: Intermediate
Duration: 6 hours and 32 minutes
Lecture count: 58
Subtitle: None
Quality: 720p
Edition: 2020-12

Course topics

AI & Data Video Tutorial Machine learning

A course topics image is not available for this resource.

Prerequisites

Prerequisite topics include mathematics.
Prerequisite topics include object-oriented and Python.

Pictures

Introduction video

How to open the files

Extract the files and play the included course media with a compatible player.

Download resources

Choose one edition and keep its parts together. Alternate providers are available when listed.

2020-12 · 720p · 1

Direct downloads

2020-12 · 720p

↓Download Part 1 – 2 GB

↓Download Part 2 – 2 GB

↓Download Part 3 – 2 GB

↓Download Part 4 – 2 GB

↓Download Part 5 – 2 GB

↓Download Part 6 – 1.54 GB

Archive password

Size

11.5 GB

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InformIT — Linear Algebra for Machine Learning 2020-12