Introduction to Machine Learning with Python | Goldsmiths University

Wed Oct 02 2019 at 06:30 pm to Wed Dec 11 2019 at 08:30 pm
Goldsmiths University, New Cross, London, United Kingdom

Goldsmiths University, New Cross, London, United Kingdom

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This is a practical introduction to Machine Learning using Python programming language. Machine Learning allows you to create systems and models that understand large amounts of data. These models support our decision making in a range of fields, including market prediction, within scientific research and statistical analysis. This course will teach you how to use statistical techniques and machine learning algorithms that enable a computer system to learn from different types of data.

This is a ten week introductory course in Machine Learning using Python, which is a widely used programming language in the field of Machine Learning. Python is especially effective due to its readability, versatility, and its integration with several packages specifically designed for Machine Learning. The course is both theoretical and practical, and we will ensure you understand the theory behind the algorithm, before this is tested on real world data examples. We will guide you through areas such as analysing large amounts of data and classifying this into appropriate categories, and how to recognise recurring features and identify correlations, so that you can develop a complex system which has the ability to make accurate predictions.

We will begin the course by exploring the main tools provided in Python for data visualisation and data analysis. You will learn how to process the data and create graphs that can reveal specific insights of the database. From data analysis the course will then move on to explore the theory and practical application of the main machine learning algorithm in Scikit-learn for classification and regression models. After this we will take the first steps in exploring Keras, a more sophisticated machine learning library that includes and expands on our work with Scikit-learn. Towards the end of the course we will briefly discuss Neural Network and Convolutional Neural Network to give you a brief introduction to the concept of Deep Learning.

This is ten week course. Classes take place from 6.30-8.30
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