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...
New Approaches Apply Deep Learning to Recommender Systems
Oliver Gindele is Head of Machine Learning at Datatonic. At ODSC Europe 2018, he spoke about how to apply...

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...
Understanding the 3 Primary Types of Gradient Descent

Understanding the 3 Primary Types of Gradient Descent

Batch Gradient DescentGradient DescentMini Batch Gradient DescentStochastic Gradient DescentModelingposted by Daniel Gutierrez Nov 28, 2018

Gradient descent is the most commonly used optimization method deployed in machine learning and deep learning algorithms. It’s used to...
Unsupervised Learning: Evaluating Clusters

Unsupervised Learning: Evaluating Clusters

ClusteringUnsupervised LearningModelingposted by Daniel Gutierrez Nov 23, 2018

K-means clustering is a partitioning approach for unsupervised statistical learning. It is somewhat unlike agglomerative approaches like hierarchical clustering....

Conference video from ODSC Europe 2018: Introduction to Data Science – A Practical Viewpoint – Jesus Rogel-Salazar, PhD

New to data science? Get the primer in layman’s terms here.

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...
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...
A Practical Approach to Data Ethics
There is a Golden Rule in life. It’s a maxim that appears in various forms around the world: One...

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...
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...