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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 a
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)....
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 conte
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.
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....