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Accelerate AI View all
Why Consumers Should Trust Companies with Their Data

Why Consumers Should Trust Companies with Their Data

Hugo Pinto is an asthmatic. He’s aware of the environmental triggers that can induce an asthma attack, but he...

ConferencesHealthcareODSC WestAccelerate AIposted by Spencer Norris Dec 13, 2018

Hugo Pinto is an asthmatic. He’s aware of the environmental triggers that can induce an asthma attack, but he...
Real-Life Robocop: How NLP Is Fighting Financial Crime

Real-Life Robocop: How NLP Is Fighting Financial Crime

Natural Language ProcessingNLPAccelerate AIposted by ODSC Team Dec 12, 2018

Introduction “There used to be a point where chatbots could barely understand slang. Now, they’re able to recognize numerous...
The Data of Disease: How Pharma is Using Data to Improve Vaccine R&D

The Data of Disease: How Pharma is Using Data to Improve Vaccine R&D

Applied Data SciencePharmaAccelerate AIposted by Spencer Norris Dec 10, 2018

Vaccines traditionally take decades to develop. Duccio Medini and his colleagues at GlaxoSmithKline are looking for ways to change...
Brain Meets Machine: How DataSine is Merging Psychology and Data Science

Brain Meets Machine: How DataSine is Merging Psychology and Data Science

Accelerate AIposted by Spencer Norris Dec 4, 2018

Igor Volzhanin, CEO of AI-driven marketing strategy group DataSine, gave a talk at ODSC London 2018 on the framework...
Data Scientists as Jackalopes — Not Unicorns: Insight from Jesús Rogel-Salazar

Data Scientists as Jackalopes — Not Unicorns: Insight from Jesús Rogel-Salazar

Accelerate AIposted by Paxtyn Merten Nov 23, 2018

Data scientists shouldn’t be hailed as unicorns — they’re more like jackalopes, Jesús Rogel-Salazar said in the final moments...
Meet the Leader of a Data-Driven Work Culture: The Data Science Manager

Meet the Leader of a Data-Driven Work Culture: The Data Science Manager

Accelerate AICareer insightAccelerate AIposted by Paxtyn Merten Nov 14, 2018

What does it take to build a data-driven culture at a company? Surely, you’d expect hiring a few people...
Three Machine Learning Practices That Keep Your Identity Safe

Three Machine Learning Practices That Keep Your Identity Safe

Machine LearningAccelerate AIposted by Paxtyn Merten Nov 6, 2018

As privacy concerns escalate in the age of big data, developers constantly evolve artificial intelligence and machine learning techniques...
Modeling View all
10 Tips to Get Started with Kaggle

10 Tips to Get Started with Kaggle

Kaggle is a well-known community website for data scientists to compete in machine learning challenges. Competitive machine learning can...

GoogleKaggleMachine LearningModelingposted by Daniel Gutierrez Dec 17, 2018

Kaggle is a well-known community website for data scientists to compete in machine learning challenges. Competitive machine learning can...
The Data Scientist’s Holy Grail – Labeled Data Sets

The Data Scientist’s Holy Grail – Labeled Data Sets

Labeled DataMachine LearningModelingposted by Daniel Gutierrez Dec 14, 2018

The Holy Grail for data scientists is the ability to obtain labeled data sets for the purpose of training...
New Approaches Apply Deep Learning to Recommender Systems

New Approaches Apply Deep Learning to Recommender Systems

Deep LearningODSCRecommender SystemsDeep Learningposted by Daniel Gutierrez Dec 6, 2018

Oliver Gindele is Head of Machine Learning at Datatonic. At ODSC Europe 2018, he spoke about how to apply...
Layer-wise Relevance Propagation Means More Interpretable Deep Learning

Layer-wise Relevance Propagation Means More Interpretable Deep Learning

ConferencesDeep LearningODSC EuropeConferencesposted by Daniel Gutierrez Dec 5, 2018

Wojciech Samek is head of machine learning for Fraunhofer Heinrich Hertz Institute. At ODSC Europe 2018, he spoke about an active...
At NVIDIA, Deep Learning Gets Deeper

At NVIDIA, Deep Learning Gets Deeper

Deep Learningposted by Spencer Norris Dec 3, 2018

Alison Lowndes and her team at NVIDIA are finding exciting new ways to handle the demands deep learning places...
How to Play Fantasy Sports Strategically (and Win)

How to Play Fantasy Sports Strategically (and Win)

ConferencesDirichlet DistributionFantasy FootballMartin HaughODSC EuropeStatisticsStatisticsposted by Paxtyn Merten Nov 30, 2018

Daily Fantasy Sports is a multibillion-dollar industry with millions of annual users. The Imperial College Business School’s Martin Haugh...
Mail Processing with Deep Learning: A Case Study

Mail Processing with Deep Learning: A Case Study

ConferencesDeep LearningMachine LearningODSC EuropeConferencesposted by Paxtyn Merten Nov 29, 2018

Businesses increasingly delegate simple, boring, and repetitive tasks to artificial intelligence. In a case study, Alexandre Hubert — lead...
Latest News View all

Microsoft researchers beat Tencent and Intel in autonomous greenhouse competition

Newsposted by ODSC Team Dec 18, 2018

Neural Network AI beats Super Mario Bros after playing for almost 7 months

Newsposted by ODSC Team Dec 18, 2018

Researchers use computer model to predict prostate cancer aggressiveness

Newsposted by ODSC Team Dec 18, 2018

NVIDIA sets 6 AI performance records with the first release of a broad set of AI benchmarks

Newsposted by ODSC Team Dec 17, 2018

Your smartphone’s AI algorithms could tell if you are depressed

Newsposted by ODSC Team Dec 17, 2018

GV leads $90 million investment in Bowery to grow its indoor farming business

Newsposted by ODSC Team Dec 17, 2018

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

Conference Spotlight

Conference video from ODSC East 2018: Standardized Data Science: The Team Data Science Data Process

In this video Buck Woody, an Applied Data Scientist from Microsoft Research and AI, will explain how The Team Data Science Process (TDSP) works, provide you resources to use in your organization, and walk you through a practical example using Python

Featured Research View all
Self-Driving Cars, Generated News Among Top October Research

Self-Driving Cars, Generated News Among Top October Research

Self-driving cars. Less biased crowdsourced data. Automatically generated historical accounts. These are some of the topics data science researchers...

Researchposted by Paxtyn Merten Nov 13, 2018

Self-driving cars. Less biased crowdsourced data. Automatically generated historical accounts. These are some of the topics data science researchers...
Shared Control For Dynamic Systems Between Humans and Robots

Shared Control For Dynamic Systems Between Humans and Robots

Researchposted by Kaylen Sanders, ODSC Sep 14, 2018

Engineering and computer science researchers at Northwestern University devised a model that forsakes user-only control in favor of an...
Classification Models Predict Community-Specific Interest in News Articles With High Accuracy

Classification Models Predict Community-Specific Interest in News Articles With High Accuracy

Researchposted by Kaylen Sanders, ODSC Sep 11, 2018

A research team hailing from Rensselaer Polytechnic Institute and Raytheon BBN Technologies used features from article content to create...

LSTM enables researchers to track the learning status of class participants in massive open online courses.

Researchposted by Kaylen Sanders, ODSC Aug 15, 2018

Computer scientists at the Harbin Institute of Technology designed a model that makes accurate learning status predictions about MOOC...
Conference Coverage View all
Why Consumers Should Trust Companies with Their Data

Why Consumers Should Trust Companies with Their Data

Hugo Pinto is an asthmatic. He’s aware of the environmental triggers that can induce an asthma attack, but he...

ConferencesHealthcareODSC WestAccelerate AIposted by Spencer Norris Dec 13, 2018

Hugo Pinto is an asthmatic. He’s aware of the environmental triggers that can induce an asthma attack, but he...
Layer-wise Relevance Propagation Means More Interpretable Deep Learning

Layer-wise Relevance Propagation Means More Interpretable Deep Learning

ConferencesDeep LearningODSC EuropeConferencesposted by Daniel Gutierrez Dec 5, 2018

Wojciech Samek is head of machine learning for Fraunhofer Heinrich Hertz Institute. At ODSC Europe 2018, he spoke about an active...
Mail Processing with Deep Learning: A Case Study

Mail Processing with Deep Learning: A Case Study

ConferencesDeep LearningMachine LearningODSC EuropeConferencesposted by Paxtyn Merten Nov 29, 2018

Businesses increasingly delegate simple, boring, and repetitive tasks to artificial intelligence. In a case study, Alexandre Hubert — lead...
Olivier Blais of Moov AI on His Experience as a Speaker at ODSC West 2018

Olivier Blais of Moov AI on His Experience as a Speaker at ODSC West 2018

ConferencesODSC WestConferencesposted by Olivier Blais Nov 29, 2018

I am back from Open Data Science Conference (ODSC West) in California. What a blast! Not only was I...
Alexandru Agachi of Empiric Capital on “Handling Missing Data in Python/Pandas” at ODSC Europe 2018

Alexandru Agachi of Empiric Capital on “Handling Missing Data in Python/Pandas” at ODSC Europe 2018

ConferencesODSC WestPandasPythonConferencesposted by Daniel Gutierrez Nov 21, 2018

Key Takeaways: It’s important to describe missing data and the challenges it poses. You need to clarify a confusing...
Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

ConferencesMachine LearningODSC EuropeStatisticsConferencesposted by Daniel Gutierrez Nov 20, 2018

Key Takeaways: It’s important for data scientists to understand the so-called “gap” between statistics and machine learning, and how...
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Tools & Languages View all
The Data Scientist’s Holy Grail – Labeled Data Sets

The Data Scientist’s Holy Grail – Labeled Data Sets

The Holy Grail for data scientists is the ability to obtain labeled data sets for the purpose of training...

Labeled DataMachine LearningModelingposted by Daniel Gutierrez Dec 14, 2018

The Holy Grail for data scientists is the ability to obtain labeled data sets for the purpose of training...
A Practical Approach to Data Ethics

A Practical Approach to Data Ethics

Data EthicsTools & Languagesposted by Aakash Gupta Nov 30, 2018

There is a Golden Rule in life. It’s a maxim that appears in various forms around the world: One...
Monthly Summary of Selected Trends, Activities and Insights for R – October 2018

Monthly Summary of Selected Trends, Activities and Insights for R – October 2018

R CentralR TrendsRposted by R Central Nov 28, 2018

Abstract In October, the spike in activities observed in September across the R ecosystem was maintained. In the following...
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