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The Practical Quant's Blog

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You created a machine learning application. Now make sure it's secure.

April 29, 2019 Comments (0)

[A version of this post appears on the O'Reilly Radar.]The software industry has demonstrated, all too clearly, what happens when you don’t pay attention to security.By Ben Lorica and Mike Loukides.In a recent post, we described what it would take to build a sustainable machine learning practice. By “sustainable,” we mean projects that aren’t just proofs of concepts or experiments. A sustainable practice means projects that are integral to an organization’s mission: projects by which an...

Algorithms are shaping our lives - here's how we wrest back control

April 29, 2019 Comments (0)

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms.In this episode of the Data Show, I spoke with Kartik Hosanagar, professor of technology and digital business, and professor of marketing at The Wharton School of the University of Pennsylvania.  Hosanagar is also the author of a newly released book, A Human’s Guide to Machine Intelligence, an interesting tour through the recent evolution...

Gliding down the world's longest zipline

April 29, 2019 Comments (0)

Ras Al Khaimah's Jebel Jais mountain in the U.A.E. is home to the longest zipline in the world. The video below is from a GoPro camera on my helmet and was shot on 2019-03-14. I was the last person to zip down that day. There are two stages to this zipline site:Stage 1: Is the longer of the two stages and you "fly" while lying down on a harness with your hands holding straps behind your back (for optimum aerodynamics). The view is spectacular!Stage 2: In this stage you are in a "sitting...

It's time for data scientists to collaborate with researchers in other disciplines

April 29, 2019 Comments (0)

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive machine learning. As models and algorithms become more widespread, many important...

The evolution and expanding utility of Ray

February 21, 2019 Comments (0)

[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...

9 AI trends on our radar

February 21, 2019 Comments (0)

[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...

The technical, societal, and cultural challenges that come with the rise of fake media

February 21, 2019 Comments (0)

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis.In this episode of the Data Show, I spoke with Siwei Lyu, associate professor of computer science at the University at Albany, State University of New York. Lyu is a leading expert in digital media forensics, a field of research into tools and techniques for analyzing the authenticity of media files. Over the past year, there have...

Using machine learning and analytics to attract and retain employees

February 21, 2019 Comments (0)

[A version of this post appears on the O'Reilly Radar blog.]The O'Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit.In this episode of the Data Show, I spoke with Maryam Jahanshahi, research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. In an upcoming survey, we found that a “skills gap” or “lack of skilled people” was one of the main bottlenecks...

How machine learning impacts information security

February 21, 2019 Comments (0)

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.In this episode of the Data Show, I spoke with Andrew Burt, chief privacy officer and legal engineer at Immuta, a company building data management tools tuned for data science. Burt and cybersecurity pioneer Daniel Geer recently released a must-read white paper (“Flat Light”) that provides a great framework for how to think about...

7 data trends on our radar

February 21, 2019 Comments (0)

[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...