Open Data Science - Your Data Science News Source for AI & Beyond

Andy Eschbacher, Map Scientist at CARTO, on getting the most out of spatial data at ODSC East 2018

Key Takeaways: GIS is an art and a science, requiring sophisticated software and a keen focus on aesthetics Organization...

Conferencesposted by Alex Amari Jun 11, 2018

Key Takeaways: GIS is an art and a science, requiring sophisticated software and a keen focus on aesthetics Organization...

Cathy O’Neill, bestselling author of ‘Weapons of Math Destruction,’ on the promises and perils of algorithms in everyday life at ODSC East 2018

Conferencesposted by Alex Amari Jun 5, 2018

In her talk at ODSC East 2018, Dr. Catherine (Cathy) O’Neill, author of New York Times bestseller Weapons of...

Agile Data Science Insights from ODSC East 2018

Conferencesposted by Heather Domin Jun 4, 2018

If it’s one thing your data scientists want you to know about agile, it’s that they don’t want to...

Visualization throughout the data science workflow with Lindsay Brin, PhD, Data Scientist at T4G Limited at ODSC East 2018

Conferencesposted by Kaylen Sanders, ODSC May 24, 2018

Summary: In the eyes of Dr. Lindsay Brin, data scientist at T4G Limited, there are three steps in the data science...

ODSC East 2018 – Open Source Data Science Project Award Winner : the Chainer Framework

Conferencesposted by ODSC Team May 17, 2018

While ODSC brings together the future of AI at each of its conferences for conversations and continued collaboration to...

Drew Conway, PhD, Founder and CEO at Alluvium, Cofounder of DataKind discusses best practices for building strong data science teams at ODSC East 2018

Career Insightsposted by Alex Amari May 16, 2018

Key Points: Hiring managers and business leaders often overestimate data scientists’ capabilities, resulting in inefficiencies in the hiring process...

What I Enjoyed Most at ODSC East 2018

Conferencesposted by Kristen Kehrer May 14, 2018

Last week I had the opportunity to attend Open Data Science Conference in Boston. It was awesome to see...

Modeling View all

Stirling Numbers, Including Negative Arguments

Stirling numbers are something like binomial coefficients. They come in two varieties, imaginatively called the first kind and second...

Modelingposted by John Cook Jun 20, 2018

Stirling numbers are something like binomial coefficients. They come in two varieties, imaginatively called the first kind and second...

Why NLP is a Great First AI Solution for Businesses

Modelingposted by Alex Amari Jun 19, 2018

The world of the C-suite isn’t quite ready to embrace artificial intelligence just yet. That’s according to an oft-cited...

A Different Use of Time Series to Identify Seasonal Customers

Modelingposted by Kristen Kehrer Jun 18, 2018

I had previously written about creatively leveraging your data using segmentation to learn about a customer base. The article...

Fixed Points of Logistic Function

Modelingposted by John Cook Jun 15, 2018

Here’s an interesting problem that came out of a logistic regression application. The input variable was between 0 and...

Missing the Point About Microservices – It’s About Testing and Deploying Independently

Modelingposted by Erik Bernhardsson Jun 13, 2018

Ok, so I have to first preface this whole blog post by a few things: I really struggle with...

Relative Error in the Central Limit Theorem

Modelingposted by John Cook Jun 12, 2018

If you average a large number independent versions of the same random variable, the central limit theorem says the...

Why are Convnets Often Better Than the Rest? Part I

Deep Learningposted by Caspar Wylie, ODSC Jun 11, 2018

Introduction In this series, I will explore convolutional neural networks in comparison to standard neural networks. To begin with,...

MIT is making outlets smarter. Engineers designed a neural network that will avoid shutting off power in response to false signals.

Newsposted by ODSC Team Jun 20, 2018

Machine learning software, DeepPhish, has learned to generate phishing URLs that foil intelligent security systems.

Newsposted by ODSC Team Jun 20, 2018

AI that can debate: IBM showcases software that mines text to develop a coherent argument.

Newsposted by ODSC Team Jun 20, 2018

Can computers “see” like humans? New artificial vision network assesses images from different viewpoints to predict a representation of the entire scene.

Newsposted by ODSC Team Jun 20, 2018

By processing data right where it’s found, analog memory machines perform on par with GPUs in deep neural network training.

Newsposted by ODSC Team Jun 20, 2018

AI shows potential to smooth trade negotiations between countries by enhancing transparency and boosting accuracy.

Newsposted by ODSC Team Jun 19, 2018

Google brings predictive analytics to healthcare, using neural networks to forecast patient outcomes.

Newsposted by ODSC Team Jun 19, 2018

Microsoft acquires Semantic Machines, a Berkeley startup working to bring the conversational capabilities of #AI closer to those of humans.

Conference Spotlight

Learn about best practices for building strong data science teams from Drew Conway, PhD, Founder and CEO at Alluvium, Cofounder of DataKind.

Learn more about the state of human capital in the world of data science and business and best practices for building a data science company from Drew Conway, PhD, Founder and CEO of Alluvium and Cofounder of DataKinda from his talk at ODSC East 2018.

Featured Webinar

Artificial Intelligence at the Edge – Jameson Toole – ODSC Meetup

Machine learning and AI models now outperform humans on tasks ranging from image recognition to language translation. However, sending video, audio, and other sensor data up to the cloud and back is too slow for apps like Snapchat, features like “Hey, Siri!”, and autonomous machines like self-driving cars. This talk outlines why developers should be deploying deep learning models to the edge, common roadblocks they will face, and how to overcome them.

Accelerate AI View all

Beyond IoT: Building Decentralized, Intelligent Infrastructure

As I wrote recently, the Internet of Things (IoT) has been experiencing, at a minimum, some serious growing pains. This is...

Accelerate AIposted by Matt Turck Jun 15, 2018

As I wrote recently, the Internet of Things (IoT) has been experiencing, at a minimum, some serious growing pains. This is...

When the Bubble Bursts…

Accelerate AIposted by John Langford Jun 13, 2018

Consider the following facts: NIPS submission are up 50% this year to ~4800 papers. There is significant evidence that the...

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Tools & Languages View all

New Version of ggplot2

I just received a note from Hadley Wickham that a new version of ggplot2 is scheduled to be submitted...

Rposted by Ari Lamstein Jun 20, 2018

I just received a note from Hadley Wickham that a new version of ggplot2 is scheduled to be submitted...

Emojis, Java and Strings

Toolsposted by Daniel Lemire Jun 19, 2018

Emojis are funny characters that are becoming increasingly popular. However, they are probably not as simple as you might...

Category Encoders V1.2.8 Release

Pythonposted by Will McGinnis Jun 18, 2018

Been a while since a release, but category encoders has continued to advance with the help of lots of...

Andy Eschbacher, Map Scientist at CARTO, on getting the most out of spatial data at ODSC East 2018

Cathy O’Neill, bestselling author of ‘Weapons of Math Destruction,’ on the promises and perils of algorithms in everyday life at ODSC East 2018

Agile Data Science Insights from ODSC East 2018

Visualization throughout the data science workflow with Lindsay Brin, PhD, Data Scientist at T4G Limited at ODSC East 2018

ODSC East 2018 – Open Source Data Science Project Award Winner : the Chainer Framework

Drew Conway, PhD, Founder and CEO at Alluvium, Cofounder of DataKind discusses best practices for building strong data science teams at ODSC East 2018

What I Enjoyed Most at ODSC East 2018

Stirling Numbers, Including Negative Arguments

Why NLP is a Great First AI Solution for Businesses

A Different Use of Time Series to Identify Seasonal Customers

Fixed Points of Logistic Function

Missing the Point About Microservices – It’s About Testing and Deploying Independently

Relative Error in the Central Limit Theorem

Why are Convnets Often Better Than the Rest? Part I

MIT is making outlets smarter. Engineers designed a neural network that will avoid shutting off power in response to false signals.

Machine learning software, DeepPhish, has learned to generate phishing URLs that foil intelligent security systems.

AI that can debate: IBM showcases software that mines text to develop a coherent argument.

Can computers “see” like humans? New artificial vision network assesses images from different viewpoints to predict a representation of the entire scene.

By processing data right where it’s found, analog memory machines perform on par with GPUs in deep neural network training.

AI shows potential to smooth trade negotiations between countries by enhancing transparency and boosting accuracy.

Google brings predictive analytics to healthcare, using neural networks to forecast patient outcomes.

Microsoft acquires Semantic Machines, a Berkeley startup working to bring the conversational capabilities of #AI closer to those of humans.

Learn about best practices for building strong data science teams from Drew Conway, PhD, Founder and CEO at Alluvium, Cofounder of DataKind.

Artificial Intelligence at the Edge – Jameson Toole – ODSC Meetup

Beyond IoT: Building Decentralized, Intelligent Infrastructure

When the Bubble Bursts…

Product Analytics Lead, Data Science

Data Scientist, Engineering

Software Engineer

Lead Data Scientist

Data Engineer

New Version of ggplot2

Emojis, Java and Strings

Category Encoders V1.2.8 Release