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Publication Name: The Practical Quant

Brief description: Musings on Quantitative Finance

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Owner Name: Ben Lorica

Joined: January 22nd, 2012


The Practical Quant wrote a new blog post titled The evolution and expanding utility of Ray

[A version of this post appears on the O'Reilly Radar.]There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.In a recent post, I listed some of the early use cases described in the first meetup dedicated to Ray—a distributed programming framework from UC Berkeley’s RISE Lab. A second meetup took place a few months later, and both events featured some of the first applications built with Ray. On the development front, the core API has stabilized and a lot of work has gone into improving Ray’s performance...
(27 days ago)

The Practical Quant wrote a new blog post titled 7 data trends on our radar

[A version of this post appears on the O'Reilly Radar.]From infrastructure to tools to training, here's what’s ahead for data.Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead.Increasing focus on building data culture, organization, and trainingIn a recent O’Reilly survey, we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in...
(27 days ago)

The Practical Quant wrote a new blog post titled 9 AI trends on our radar

[A version of this post appears on the O'Reilly Radar.]How new developments in automation, machine deception, hardware, and more will shape AI.Here are key AI trends business leaders and practitioners should watch in the months ahead.We will start to see technologies enable partial automation of a variety of tasks.Automation occurs in stages. While full automation might still be a ways off, there are many workflows and tasks that lend themselves to partial automation. In fact, McKinsey estimates that “fewer than 5% of occupations can be entirely automated using current technology. However,...
(27 days ago)


I am a Senior Researcher in the Market Research Group at O'Reilly Media, Inc., founder of Verisi Data Studio, and an advisor to Yakit. I have applied Business Intelligence, Data Mining and Statistical Analysis in a variety of domains including Financial Engineering, Direct Marketing, Consumer and Market Research, Targeted Advertising, and Text Mining. My background includes stints with an investment management company, internet startups, and financial services. At O'Reilly, I work on custom research and consulting projects, involving all aspects of data intelligence: data acquisition, data transformation and management, analytics, and visualization. In the process, I help companies understand developments in a wide-range of emerging technology topics, including social media, (mobile) application platforms, big data and analytics, and frugal innovation. I remain interested in Quantitative Finance and my musings can be found on my blog The Practical Quant.

An ex-academic, I was an Assistant Professor at U.C. Davis and was the founding Department Chair for Statistics and Mathematics at C.S.U. Monterey Bay. I have been a visiting member of the Mathematical Sciences Research Institute in Berkeley and have taught at U.C. Santa Barbara and the University of the Philippines. I enjoy writing and have written and published on topics ranging from Applied Mathematics and Statistics, Finance, Marketing Research, and Technology.