Course in Machine Learning

Top Courses in Machine Learning

A course is the study of a particular topic within a wider subject area and is the foundation of a qualification. A typical course includes lectures, assessments and tutorials.

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Applied Machine Learning & AI in Finance

London Financial Studies
Campus Full time 3 days April 2019 United Kingdom London

The popularity of data science techniques such as data mining and machine learning has grown enormously in recent years. They present effective solutions to process and analyze the huge amount of data available to risk managers and financial analysts. With the advances in computing power and distributed processing, it is now possible to process - and make sense of - the vast array of information that can be gathered from several different data sources. This hands-on program covers key techniques - including several aspects of supervised and unsupervised machine learning - that can be used when mining financial data. The program also focuses on advanced data science techniques that are becoming widely used in financial markets for text analysis and artificial intelligence (AI): Natural Language Processing (NLP) and Deep Learning (DL). The program is delivered entirely through workshops and case studies. Participants will learn how to implement natural language processing techniques by building a sentiment analysis model to analyze text. In the deep learning section, participants will focus on the different neural networks that can be put at work for data classification, time-series forecasting, and pattern recognition. All exercises and case studies are illustrated in Python, allowing you to learn how to work with this flexible, open-source programming language. [+]

The popularity of data science techniques such as data mining and machine learning has grown enormously in recent years. They present effective solutions to process and analyze the huge amount of data available to risk managers and financial analysts.

With the advances in computing power and distributed processing, it is now possible to process - and make sense of - the vast array of information that can be gathered from several different data sources.

This hands-on programme covers key techniques - including several aspects of supervised and unsupervised machine learning - that can be used when mining financial data. The programme also focuses on advanced data science techniques that are becoming widely used in financial markets for text analysis and artificial intelligence (AI): Natural Language Processing (NLP) and Deep Learning (DL).... [-]


AI and Machine Learning for Business - an online course

Southampton Data Science Academy
Online Full time Part time 60 weeks October 2019 United Kingdom Cambridge + 1 more

The course is organized according to a framework of core AI capabilities. It follows a problem-based learning approach, where each AI capability is discussed in the context of business case study. It covers a mix of learning materials, including short video tutorials, guided walkthroughs, presentations, online exercises and further reading and has been designed to enable professionals in the public and private sectors to gain the knowledge and skills that allow them to understand how to use AI in their organization. [+]

About this course

One way or another, AI will determine the future of technology. While it has vocal supporters and opponents, there is no doubt that its impact will be transformational. While the field is changing rapidly, there is a lot to learn, but also many ways to shape it and contribute. This course teaches you what you need to know to be part of this journey.

Course overview

AI has delivered some of the most amazing technological advances of the last decade, outperforming human abilities in domains as diverse as image recognition, natural language understanding, pattern detection, prediction and autonomous devices. It has shown that it can transform entire industries over the course of a few years, and change the way we think about our lives, jobs, businesses, government, and society.... [-]