Setup Menus in Admin Panel

  • LOGIN
  • No products in the cart.

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it. While it is true that working as a Machine Learning engineer does involve a lot of mathematics and programming, we believe that anyone can understand the basic concepts of Machine Learning, and given the importance of this technology, everyone should. The big AI breakthroughs sound like science fiction, but they come down to a simple idea: the use of data to train statistical algorithms. In this course you will learn to understand the basic idea of machine learning, even if you don’t have any background in math or programming. Not only that, you will get hands on and use user friendly tools developed at Goldsmiths, University of London to actually do a machine learning project: training a computer to recognise images. This course is for a lot of different people. It could be a good first step into a technical career in Machine Learning, after all it is always better to start with the high level concepts before the technical details, but it is also great if your role is non-technical. You might be a manager or other non-technical role in a company that is considering using Machine Learning. You really need to understand this technology, and this course is a great place to get that understanding. Or you might just be following the news reports about AI and interested in finding out more about the hottest new technology of the moment. Whoever you are, we are looking forward to guiding you through you first machine learning project.

NB this course is designed to introduce you to Machine Learning without needing any programming. That means that we don’t cover the programming based machine learning tools like python and TensorFlow.

WHAT YOU WILL LEARN

  • Y​ou will understand the basic of how modern machine learning technologies work

  • Y​ou will be able to explain and predict how data affects the results of machine learning

  • Y​ou will be able to use a non-programming based platform train a machine learning module using a dataset

  • Y​ou will be able to form an informed opinion on the benefits and dangers of machine learning to societ

Course Curriculum

Section 1: Introduction
Introduction to Software Training FREE 00:40:00
Praesent sit amet lacus imperdiet, semper libero non, convallis lectus. Nunc nisi quam, dignissim ut luctus non, dignissim pellentesque massa. Etiam ac fermentum risus, vitae dictum quam.
Object Oriented Design Patterns 00:35:00
Nunc nisi quam, dignissim ut luctus non, dignissim pellentesque massa. Etiam ac fermentum risus, vitae dictum quam.
Software Testing 00:30:00
Suspendisse pellentesque cursus erat, nec molestie felis pretium eget.
Section 2: Advanced Computing
Advanced Database Development 00:25:00
Pellentesque eu lectus mattis libero dapibus posuere.
Algorithm analysis 00:45:00
Nunc lobortis tempus risus sit amet tincidunt. Nam quis odio a orci tristique
Multi Threading in Softwares 00:40:00
Nunc nisi quam, dignissim ut luctus non, dignissim pellentesque massa. Etiam ac fermentum risus, vitae dictum quam.
Managing Software Testing 00:20:00
Nunc nisi quam, dignissim ut luctus non, dignissim pellentesque massa. Etiam ac fermentum risus, vitae dictum quam.
The Software Quiz 00:04:00

Course Reviews

4.3

4.3
4 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

39 STUDENTS ENROLLED

    Top Rated Course

    Course Reviews

    top
    © WebMonde. All rights reserved.