Machine Learning News & Topics for Quantitative Trading and Algorithmic Development

Machine Learning (ML) is the evolution of artificial intelligence where the computer (program) works with data to discover patterns (also called features) that can be used later to evaluate other data.  ML is typically broken down into three categories: supervised ML, unsupervised ML, and reinforcement learning.

CloudQuant does enable Machine Learning. To learn more check out “An Intro to Machine Learning with CloudQuant and Jupyter Notebooks” by Trevor Trinkino. This post and video cover one quantitative trader’s approach to supervised ML.

Posts

Researcher reading iPad

Big Data, Data Analytics, Data Science in the News October 5, 2017

Data Science Topics: UBS, data quality, cloud-native, Morgan Stanley, wildlife monitoring drones, targeted marketing, retirement planning, Boeing, Google AI
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News for the week ending October 2, 2017

Machine Learning and Artificial Intelligence News for the week ending Oct 2, 2017 that we found interesting from our FINTECH and CrowdSourcing perspective
Quantitative Strategies and Capital for Trading

Industry News: Machine Learning and Artificial Intelligence News for the week ending September 25, 2017

Big Data, Data Analytics News: Wall Street Robots, SEC, Microsoft, Nvidia, REGTECH, financial services firms, KPIs all using Data Science...
Quantitative Strategy, Trading, and Algo Development Industry News

Big Data, Data Analytics in the News September 19

Big Data, Data Analytics in the News September 19 that the CloudQuant team found interesting this past week.
Machine Learning, Quantitative Investing News

Machine Learning and Artificial Intelligence in the News September 18

ML Frameworks, Robots and your job, Trends for Investment Managers, Chief Risk Officers, FINTECH peers are "Faking it till the make it"
Quantitative Strategy, Trading, and Algo Development Industry News

Quantitative Trading and Artificial Intelligence News Recap: September 11, 2017

Quantitative Trading and Data Science in the News August 28, 2017, covering crowdsourced quantitative investment, artificial intelligence and more
Algo developer getting paid

Intro to Machine Learning with CloudQuant and Jupyter Notebooks

Trevor Trinkino, a quantitative analysts and trader at Kershner Trading Group recently put together an introduction to Machine Learning utilizing CloudQuant and Jupyter Notebooks. In this video he walks you through a high-level process for implementing machine learning into a trading algorithm, ...
Morgan Slade, Python Data Scientist and Trader

Quant Trading and Superpowers: Morgan Slade speaks on Opportunity

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"You have a chance to try and change an industry" said Slade, CEO of CloudQuant at the MarketsWiki Education’s World of Opportunity event in New York.
New York

New York, midtown - Experienced Quantitative Portfolio Manager or Strategist

CloudQuant’s Global Systematic Trading unit is seeking experienced Quantitative Portfolio Managers and Strategists for the U.S. equity market. Ideal candidates will have an MS or Ph.D. in an Engineering or Pure Science discipline from a top school with formal academic coursework in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Digital Signal Processing,
chicago cityscape and sears tower

Chicago - Experienced Quantitative Portfolio Manager or Strategist

CloudQuant’s Global Systematic Trading unit is seeking experienced Quantitative Portfolio Managers and Strategists for the U.S. equity market. Ideal candidates will have an MS or Ph.D. in an Engineering or Pure Science discipline from a top school with formal academic coursework in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Digital Signal Processing,