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Tag: Data Scientists

AI Hype Rockets, Hadoop Twins, and Other Learnings from Strata

Strange similarities have been discovered to exist between Cloudera and Hortonworks now that the two former Hadoop rivals have merged into a single company. In fact, the resemblances are so great that they appear to be l Read more…

How To Find and Hire Data Scientists

So you're building a data science team. That's great news! As a business leader, finding a qualified data scientists is a critical step in your company's ability to harness big data and machine learning technologies, whi Read more…

The Hard Questions of Hiring For Machine Learning

I’ve been thinking a lot about hiring for the machine learning specialization lately. It’s no surprise. New data is emerging almost daily about the rise of machine learning, artificial intelligence and deep learning Read more…

Empowering Citizen Data Science

Companies of all stripes are turning to data science to unlock the value in their data. However, finding highly trained data scientists to build the systems has proven to be a very difficult task. Now many organizations Read more…

Anaconda: Data Science Exiting Hadoop for the Cloud

Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science. The shift is driven in part b Read more…

Opening Up Black Boxes with Explainable AI

One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don't know how the models generated their answers, even if we're very Read more…

Why Developers Need to Think Like Data Scientists

Data is growing faster than is even fathomable. By 2020, roughly 1.7 megabytes of new information will be created every second for every human being on the planet. Given the immense amount of data, it’s no wonder there Read more…

What Kind of Data Scientist Are You?

If you've worked with the data science community, you've probably interacted with data scientists and formed a definition for the increasingly popular position. But it turns out, not all data scientists are alike, and ac 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…

Spark’s New Deep Learning Tricks

Imagine being able to use your Apache Spark skills to build and execute deep learning workflows to analyze images or otherwise crunch vast reams of unstructured data. That's the gist behind Deep Learning Pipelines, a new Read more…

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