Machine Learning

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  • 1/500 Students
  • -
  • 2 Lessons /1 Quizes
Already conquered the basics of Ultimate Learning Pro? Want to learn more and get more done? This course is the follow-up to "Ultimate Learning Pro Basics" and it will show you how to further set up your LMS.

Course Description

–Today’s Artificial Intelligence (AI) has far surpassed the hype of blockchain and quantum computing. The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. This tutorial will give an introduction to machine learning and its implementation in Artificial Intelligence.

Target Audience:

This tutorial has been prepared for professionals aspiring to learn the complete picture of machine learning and artificial intelligence. This tutorial caters the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of artificial intelligence.

Prerequisites

The learners of this tutorial are expected to know the basics of Python programming. Besides, they need to have a solid understanding of computer programing and fundamentals.

If you are new to this arena, we suggest you pick up tutorials based on these concepts first, before you embark on with Machine Learning.

Today’s Artificial Intelligence (AI) has far surpassed the hype of blockchain and quantum computing. This is due to the fact that huge computing resources are easily available to the common man. The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. The easy availability of High Performance Computing (HPC) has resulted in a sudden increased demand for IT professionals having Machine Learning skills.

In this tutorial, you will learn in detail about −

What is the crux of machine learning?

  • What are the different types in machine learning?
  • What are the different algorithms available for developing machine learning models?
  • What tools are available for developing these models?
  • What are the programming language choices?
  • What platforms support development and deployment of Machine Learning applications?
  • What IDEs (Integrated Development Environment) are available?
  • How to quickly upgrade your skills in this important area?
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Additional Details

  • Beginner
  • 5 Weeks
  • 10 points
  • February 23, 2020 2:32 pm
Course Curriculum

Chapter 1

2 Lessons / 1 Quizes
Machine Learning Test 10 points 30m
Activating Notifications 10 points 30m
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