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We'll discuss different kinds of algorithms. First, we'll try to understand basic algorithms. We'll also discuss simple puzzles and brain teasers. If you are not from mathematical background, you'll find it simple and if you are from computer science, you'll find it interesting. You can also post any algorithms you want to discuss in particular.
Learning Practical Applications:
We'll try to understand algorithms practica
l applications.
The challenge is not to write complex algorithms b …
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… Through those input and output devices, bayesian algorithms will network the statistical patterns of our thoughts together through the internet, so our thoughts will start to flow together and become more like 1 mind in some ways. The bayesian networks that stream between our computers through the internet will take statistics on the variables in the software that apply to evolved code, and statistics on predictions of those variables, and statistics on the accuracy of those predictions over tim …
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We meet almost every second and fourth Sundays every month to discuss AI topics such as: - Symbolic and SubSymbolic Artificial Intelligence, Artificial Life, and Artificial Intuition - Complexity theory, Model theory, Model Free Methods - Semantic Web, Ontology based systems - Robotics and Robot Ethics - Linguistics, Document understanding, and Semantics - Evolutionary Computation - GA and GP - Computer Consciousness, Novelty, and Creativity - Neuroscience, Connectome Algorithms …
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To explore and discuss Trading Systems. Open to all Strategies and Methodologies. No hard-selling, just friendly, intelligent discourse. - Technical Analysis - Artificial Intelligence systems, including but not limited to Neural networks Genetic algorithms - Datamining - Fundamental Value
There are demands for good mathematicians to write algorithms that can churn through billions or trillions of data points and show where patterns emerge. The Economist data issue raised this issue as follows: "During the recent financial crisis it became clear that banks and rating agencies had been relying on models which, although they required a vast amount of information to be fed in, failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and …
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Our group is for those interested in computational dynamic {portfolio optimization, risk management, indexes tracking} and dynamic economic. We will share experience and knowledge in the field, and help each other with ideas and projects. This group is about using tools from stochastic control theory, dynamic programing, kalman filters, signal processing, non-linear and combinatorial optimization in order to model and understand the above mentioned subject. Any person that feels comf …
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