Machine Learning is the process of discovering interesting knowledge from large amounts of data. It is an interdisciplinary field with contributions from many areas, such as statistics, artificial intelligence, information retrieval, pattern recognition and bioinformatics. Machine learning for predictive analytics is widely used in many domains, such as retail, finance, telecommunication and social media.
This course provides an overview of various machine learning techniques with examples of how they are used in various organizations such as retail, finance, biotechnology and social media. Case studies are used to allow participants to work through several machine learning issues using the techniques described and to recognize opportunities within their organization.
Note: This course uses a visually oriented, open source software package to process the data. The class is not intended to be a programming class. Instead, the software is used to examine the impact of different data mining decisions.
Upon completion of this course you will be able to:
This course will be accessible to students without prior training in quantitative research methods. However, students with a background in basic descriptive and inferential statistics will, most likely, get more out of the course.
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.
ITILv3, RESILIA, PRINCE2, PRINCE2 Agile, AgileSHIFT, MSP, M_o_R, P3M3, P3O, MoP, MoV courses on this page are offered by QA, ATO of AXELOS Limited. ITIL, RESILIA, PRINCE2, PRINCE2 Agile, AgileSHIFT, MSP, M_o_R, P3M3, P3O,MoP, MoV are registered trademarks of AXELOS Limited. All rights reserved.