Here are a few lectures about a possible course on machine learning. These lecture slides can be used for some other related courses as well,
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Category: Machine Learning
How to Evolve Controllers for Simulated Drones
I already wrote a couple of posts about simulated drones some time back. I also wrote a research proposal in which I have cited plenty
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On Losses, Pauses and Stuff
This presentation is about my work that I did in France Telecom R&D as a postdoctoral researcher. Its presentation can be viewed from slideshare.net and
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A Reflection on My Research Proposals
I have been writing a number of research proposals over the past some time. I thought that it would be a nice idea to reflect
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Hashing
Hashing is an incredibly common concept that pops up in the study of data structures and algorithms. Hash tables are quite popular for their applications
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Program Space
A Program Space is Really Messed Up After having conceived the notion of search space, it may be quite useful to understand what is a
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Search Space
Would a Search Space Look Somewhat Like This? In machine learning (ML) we often hear about the term search space. The term is frequently used
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Genetic Programming
A Typical GP Breeding Cycle Genetic programming (GP) is another very important machine learning (ML) algorithm. It is also a very elegant algorithm and possibly
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Simulated Annealing
Simulated annealing is one of the most elegant algorithms that belongs to the family of meta heuristics. It is quite easy to understand, simple to
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Genetic Algorithms
Genetic algorithms are possibly the most beautiful and yet easy to understand algorithms in the field of machine learning. A genetic algorithm is a population
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