Machine-Learning-for-All-University-of-London

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Machine-Learning-for-All-University-of-London

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# Machine Learning for All by University of London

#### Instructor(s) : Dr Marco Gillies

## About this Course

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.

## Syllabus

### WEEK 1

* **Key Concepts**
	* describe and illustrate different artificial intelligences and machine learning problems and techniques
	* explain the process of training and using of a machine learning model
	* train and debug a machine learning system based on a notional machine model of that system.

#### Module 1: Machine learning

In this week you will learn about artificial intelligence and machine learning techniques. You will learn about the problems that these techniques address and will have practical experience of training a learning model.

**Graded:** Machine Learning Summative Quiz

### WEEK 2

* **Key Concepts**
	* describe and illustrate the role of data features in machine learning
	* Describe a number of data features used in machine learning
	* reason about the effect of data features used on the function of machine learning systems.

#### Module 2: Data Features

This week you will learn about how data representation affects machine learning and how these representations, called features, can make learning easier.

**Graded:** Data Features Summative Quiz

### WEEK 3

* **Key Concepts**
	* Explain a number of typical errors and problems that can occur in machine learning
	* Test a machine learning model in order to evalaute its effectiveness
	* Critique uses of machine learning in terms of their benefits and dangers

#### Module 3: Machine Learning in Practice

In this topic you will get ready to do your own machine learning project. You will learn how to test a machine learning project to make sure it works as you want it to. You will also think about some of the opportunities and dangers of machine learning technology.

**Graded:** Machine Learning in Practice Summative Quiz

### WEEK 4

* **Key Concepts**
	* describe and illustrate how data is collected, analysed and used
	* collect a dataset suitable for use in training
	* reason about the effect of data sets on the function of machine learning systems.

#### Module 4: Your Machine Learning Project

In this final topic you will do your own machine learning project: collecting a dataset, training a model and testing it.

**Graded:** Reflecting on Your Machine Learning Project

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#### ***Kudos!!!***

Warm Regards, \
Piyush Sambhi \
Email: piyush.sambhi07@icloud.com \
Git URL: https://github.com/sambhipiyush

Machine-Learning-for-All-University-of-London

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