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Machine Learning for All
  • Level Foundation
  • Duration 22 hours
  • Course by University of London
  • Offered by

About

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.

Modules

Lesson 1.0 Introduction

    • 1 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Computers that see

1 Discussions

  • What is AI?

1 Videos

  • Introduction: Computers that see

1 Readings

  • Welcome to Machine Learning for All

Lesson 1.1 Artificial intelligence

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Alpha Go

1 Discussions

  • What makes AI hard?

1 Videos

  • Artificial intelligence

Lesson 1.2 Machine learning

    • 3 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Plugin
Show info about module content

1 Discussions

  • How did you find machine learning?

3 Videos

  • Machine learning
  • Machine learning algorithms
  • Interview with Machine Learning Experts

1 Readings

  • Machine learning exercise

Lesson 1.3 Summary

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine Learning Summative Quiz

1 Discussions

  • A machine learning application

1 Videos

  • Summary

Lesson 2.1 Data Representation

    • 3 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Data representation in bits

3 Videos

  • The bit
  • Bytes and numbers
  • Other types of data

Lesson 2.2 Data features

    • 4 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Bag of Words

1 Discussions

  • Data features

4 Videos

  • Introduction to Data Features
  • Data features
  • Neural networks
  • Interview: Data Features

Lesson 2.3 Summary

    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Features Summative Quiz

1 Discussions

  • What have you learned?

Lesson 3.1 Testing

    • 3 Videos
    • 2 Readings
    • 1 Discussion
    • 1 Plugin
Show info about module content

1 Discussions

  • How does machine learning go wrong?

3 Videos

  • Introduction to Machine Learning in practice
  • Testing
  • Problems with machine learning

2 Readings

  • Trying different datasets
  • Evaluating the four datasets

Lesson 3.2 Societal Impact of Machine Learning

    • 3 Videos
    • 1 Readings
    • 2 Discussion
Show info about module content

2 Discussions

  • Applications of machine learning
  • Dangers of machine learning

3 Videos

  • Applications of machine learning
  • Dangers of machine learning
  • Interview: Benefits and Dangers of Machine Learning

1 Readings

  • Further Reading

Lesson 3.3: Summary

    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine Learning in Practice Summative Quiz

1 Discussions

  • What have you learned?

Lesson 4.0 Introduction

    • 1 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Your machine learning project

1 Videos

  • Introduction: Collecting your own dataset

Lesson 4.1 Your machine learning project

    • 2 Videos
    • 1 Readings
    • 1 Discussion
    • 1 PeerReview
    • 1 Plugin
    • 1 Assignment
Show info about module content

1 Assignment

  • Preparing for your machine learning project

1 Peer Review

  • Reflecting on Your Machine Learning Project

1 Discussions

  • Advice on data collection

2 Videos

  • Collecting a dataset
  • Interview: Advice for your first Machine Learning Project

1 Readings

  • Collecting a dataset

Lesson 4.2 Summary

    • 1 Videos
    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • What have you learned?

1 Videos

  • Summary

1 Readings

  • What's next?

Auto Summary

Discover the world of Machine Learning with "Machine Learning for All," a foundational course offered by Coursera. Led by experts from Goldsmiths, University of London, this engaging program demystifies AI and its impact on daily life, making it accessible even without a background in mathematics or programming. Over 1320 minutes, you'll explore key concepts and practically train a computer to recognize images using user-friendly tools. Ideal for anyone from aspiring ML engineers to non-technical professionals or curious learners, this course provides flexible subscription options: Starter, Professional, and Paid. Embrace the future of technology today!

Prof Marco Gillies
Instructor

Prof Marco Gillies