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C7082 Techniques in Machine Learning and AI
Welcome to C7082. This module is a survey of methods in computational AI including aspects of neural networks and computer vision using Keras, Tensorflow and related systems. There is an emphasis on practical applications using a series of data examples and lab exercises, along with lectures on selected topics and readings. Prerequisites are familiarity with a statistical programming language (like Python or R) and familiarity with material in the R Stats Bootcamp.
C7082 Resources
Harper Adams Data Science
This module is a part of the MSc in Data Science for Global Agriculture, Food, and Environment at Harper Adams University, led by Ed Harris.