Boston Algorithmic Trading is for anyone interested in creating and using algorithms in the financial markets. We arrange monthly talks from practicing quants, algorithmic traders, trading technology experts, and academics. Our focus is practical, rather than theoretical. We enjoy talking about how to automate the purchase and sale of securities using statistics, machine learning, data mining, and algorithms.

Purpose? A joint effort to learn, discuss and tackle the fundamental problems and theorems of Theoretical Computer Science, including Program Synthesis, Theory of Computation (Turing 1937), Recursion Theory (Kleene), Incompleteness in Logic (Godel 1931, Rosser 1936), Paradoxes (Liar and Russell's) and any other problem related to the topics discussed on Googe Groups sci.logic If Godel, Turing and paradoxes (and even Rosser and Smullyan) turn you on, if you spend time reading about, thinking a …

This group will concentrate on understanding the tools and skill-sets needed to become an effective Data Scientist. We will explore all topics related to the data lifecycle including acquiring new data sets, parsing new data sets, filtering and organizing data, mining data patterns, advanced algorithms, visually representing data, telling stories with data and softer skills such as negotiations and selling your ideas based upon data.