Big data is playing an increasingly important role in our society. The need for expert and ethically-informed data analysis is in high demand across many industries. This course gives you the ...

The development and use of machine learning (ML) and artificial intelligence (AI) have revolutionised areas such as computer vision, speech recognition and language processing. On this course you will ...

We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...

Crunching hard grains together leads to their rigidification, irrespective of how the system is prepared. While certain features of the resulting jammed materials—e.g. their contact force distribution ...

This is a ready to teach lesson on how to implement the Simplex Algorithm and why it works, referring back to graphical and algebraic approaches. It is unclear to many students why the Simplex ...

Linear programming is a technique in algebra that uses linear equations to determine how to arrive at the optimal situation (maximum or minimum) as an answer to a mathematical problem, assuming the ...

Two-Stage Simplex and the Big-M Algorithms. They both provide clear, animated, step-by-step examples explaining how to apply the algorithms. [ I have also separately uploaded a free preview so that ...

The inevitable presence of uncertain parameters in critical applications of process optimization can lead to undesirable or infeasible solutions. For this reason, optimization under parametric ...

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