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Tag: modeling

Rangers Redux: Can Texas Repeat with Data, Analytics, and AI?

Hope springs eternal on Opening Day. Every team starts with a perfect record and dreams of winning the World Series in six months. For the Texas Rangers, defending their championship will require the proper mix of hard w Read more…

Three Ways AI Is Helping Manufacturers

Thanks to the global supply chain and growth of middle-class culture, manufacturers are under tremendous pressure to make high quality goods that customer desire at a price they can afford. One technology that’s increa Read more…

Altair Shows Off Converged Analytics Lineup

If you’re in the market for analytics or machine learning software, you may want to keep your eyes on Altair Engineering. Best known for its product simulation and computer aided engineering software, Altair has quietl Read more…

Localized Models Give Hospitals Flexibility in COVID-19 Response

Hospitals have been re-allocating resources and delaying elective surgeries in anticipation of a surge in COVID-19 patients over the past month. That surge didn’t materialize in most locations, and now, as the number o Read more…

When Citizen Data Science Meets Basketball Analytics

Basketball, like all sports these days, is getting more data-driven all the time. Teams are looking to data to tell them where to play, what to shoot, and who to double-team in the hopes of eking out a competitive edge. Read more…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists. Any time you require some highly skilled Read more…

The 10 Step Guide to Mastering Machine Learning

Artificial intelligence (AI) and machine learning are transforming the global economy, and companies that are quick to adopt these technologies will take $1.2 trillion from those who don’t. Businesses that fail to take Read more…

ParallelM Aims to Close the Gap in ML Operationalization

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…

AWS, Microsoft Partner on Gluon AI Tool

Cloud services rivals Amazon Web Services and Microsoft are collaborating on a deep learning library designed to accelerate development of models used to construct neural networks. The open source project dubbed "Gluo Read more…

Predicting Hurricane Damage with Machine Learning

Next week marks the start of a hurricane season that weather experts predict will generate an above-average number of tropical storms. While there's no stopping a hurricane, data scientists with The Weather Company hope Read more…

When Big Data Isn’t Enough

The big data paradigm has changed how we make decisions. Armed with sophisticated machine learning and deep learning algorithms that can identify correlations hidden within huge data sets, big data has given us a powerfu Read more…

U.S. Nanotech Initiative Emphasizes Predictive Analytics, Informatics

The main nanotechnology initiative in the United States is stressing the role of big data in the future of nano-research, noting that predictive analytics and new computational methods are key priorities going forward. Read more…

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