Mammoth Club All levels 5 sections 12 lectures

Machine Learning Theory for Business

Understanding Machine Learning Concepts and Applications for Business Decision-Making

01
Skill level
All levels
02
Sections
5
03
Lectures
12
04
Instructor
John Bura
What's inside

This course includes.

5
Sections
12
Lectures
11
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

5 sections · 12 lectures
+ 01 What is machine learning 4 lectures
01-01 Hash Table Or Dictionary Visualized With Time And Space Complexity Locked
01-02 Types Of Machine Learning Locked
01-03 What Is Supervised Learning Locked
01-04 What Is Unsupervised Learning Locked
+ 02 What machine learning can and cannot do 1 lecture
02 What machine learning can and cannot do Locked
+ 03a Machine learning model examples 3 lectures
01 What Is Linear Regression Locked
02 What Is Logistic Regression Locked
03 Make Decisions With Decision Trees Locked
+ 03b Deep Learning and Neural Networks 3 lectures
00A What Is Deep Learning Locked
00B What Is A Neural Network Locked
Source Files Locked
+ 04 What are machine learning libraries 1 lecture
04 What are machine learning libraries Locked
Description

About this course.

In this course you will Learn the Following:

  • What is machine learning
  • What machine learning can and cannot do
  • Machine learning model examples
  • Deep learning and neural networks
  • What are machine learning libraries

Knowing the fundamentals of machine learning can be crucial for you business, you can create your own algorithms to help guide you on certain trends that are the most current.

In this day and age trends can go by so fast, and you don't want to be left behind or worse, try to capitalize on it when people have already moved on and be considered as someone who is behind the times


Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

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Understanding Machine Learning Concepts and Applications for Business Decision-Making

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