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Machine Learning

Machine Learning can be defined as the ability of a machine to learn something without having to be programmed for that specific thing. It is the field of study where computers use a massive set of data and apply algorithms for ‘training’ themselves and making predictions.


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 revolutionize almost any area of human life and work, and so will affect all our lives, 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,


  • Introduction: Computers that see
  • Artificial intelligence
  • Machine learning algorithms
  • Introduction to Data Features
  • Neural networks
  • Introduction to Machine Learning in practice
  • Problems with machine learning
  • Applications of machine learning
  • Dangers of machine learning


Y​ou will understand the basics of how modern machine-learning technologies work. You will be able to explain and predict how data affects the results of machine learning

This course does not require any programming or computer science expertise.

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Course Details

11 Lectures

16.5 Hours

675 Students


Exercise Files


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