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Research about fairness in machine learning is a relatively recent topic. Most of the articles about it have been written in the last three years. Some of the most important facts in this topic are the following: In 2018, IBM introduced AI Fairness 360, a Python library with several algorithms to reduce software bias and increase its fairness.
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A trading bot takes in data from either a third party or some other source providing market information and using that data to develop strategies which can be used for a multitude of reasons and ...
Mar 30, 2018 · Zenbot: Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB. [4524 stars on Github].
Learn more about Dataset Search.. ‫العربية‬ ‪Deutsch‬ ‪English‬ ‪Español (España)‬ ‪Español (Latinoamérica)‬ ‪Français‬ ‪Italiano‬ ‪日本語‬ ‪한국어‬ ‪Nederlands‬ Polski‬ ‪Português‬ ‪Русский‬ ‪ไทย‬ ‪Türkçe‬ ‪简体中文‬ ‪中文(香港)‬ ‪繁體中文‬ Forex Trading. Machine Learning Model. I am a professional MQL4, MQL5 and cAlgo developer. I have been developing thousands of EAs, cBots, Indicators, and One my project is cloud trading bot for market. In this project I made control system for pool of lightweight virtual machines (Linux...
Aug 20, 2020 · Predicting Problematic Trades with Machine Learning. BNP Paribas Smart Chase Can Predict Problematic Trades with Machine Learning. Similarly, BNP Paribas launched “Smart Chaser” a machine learning technology that proactively predicts failed trades which is designed to automate the labor-intensive process of trade settlements.
Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. Nov 08, 2019 · 4 months ago, a friend of mine introduced me to an auto trading robot that allows him to earn 1% of his investment every day (i.e.: You invest 1000$ you earn 10$ each day on your trading account).
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