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Tag: data science

Top Data Science Careers You Can Pursue With a Master’s Degree in Data Analytics

According to a global survey by Machine Engine, 89% of companies surveyed reported an increase in the use of business analytics. This means the demand for data analysts has exploded, making it the ideal time to move into Read more…

New ‘CALF’ Algorithm Identifies Data Patterns, Predicts Risk for Disease

LASSO regression—short for “least absolute shrinkage and selection operator”—is considered a gold standard for identifying patterns in data. Now, researchers from UNC-Chapel Hill’s Renaissance Computing Institu Read more…

Data Visualization Platform Enso Emerges from Stealth with $16.5M

This week, San Francisco-based data analytics firm Enso emerged from stealth with a $16.5 million funding round. The company’s open source platform provides a self-service, visual data environment that is simultaneo Read more…

And the 100 Fastest Growing AI Teams Are….

Investments in AI are growing quickly at the moment, as the combination of big data and advanced data science techniques work their way into every industry on the planet. But which companies have the fastest growing AI t Read more…

Neo4j Drives Simplicity with Graph Data Science Refresh

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that complexity from t Read more…

Big Data Study Cites Challenges, Predicts Growth

Tapping into big data analytics continues to be appealing for many companies who wish to mine their data for “actionable insights,” or information that can assist decision makers with bringing increased value to thei Read more…

MLOps Pays Dividends for New York Life

Machine learning has the potential to generate millions of dollars in savings and revenue growth for organizations. Nobody in the data business doubts that anymore. But unless ML models are actually put into production, Read more…

Coiled Finds Traction in Deploying Dask at Scale

When a data scientist is done playing around with a model and wants to run it at scale, she has several options. One potential avenue is Dask, the open source framework that parallelizes Python code. And since 2020, when Read more…

Deepnote Raises $20M to Scale Jupyter-Based Data Science Biz

Deepnote, the San Francisco software firm building a data science collaboration platform atop a Juypter notebook base, today announced it has raised $20 million in a Series A round. Deepnote was founded in 2019 with a Read more…

The Upcoming Year in Big Data: A 2022 Preview

The world of big data is a never-ending roller coaster of new technologies, new techniques, and an ever-growing tsunami of data. As we roll into 2022, we turn to the community of big data practitioners and solution provi Read more…

Data Science and AI Predictions for 2022

The pace of technological change increased in 2021, and if history is any guide, will continue to accelerate in 2022. At the leading edge of high tech are data science and artificial intelligence, two disciplines that pr Read more…

5 Steps to Data-Based Decisions

Organizations in virtually every industry are now awash in more data than they know what to do with. But how can they take all of that information and use it to arrive at new insights that help to improve operations and Read more…

Data Science Collides with Traditional Math in the Golden State

Is traditional math still important in data science? Or can a new curriculum based on data science replace some of traditional mathematics courses while promoting greater racial equity? These questions are at the heart o Read more…

AWS Bolsters SageMaker with New Capabilities

Amazon Web Services unveiled a half-dozen new SageMaker services today at its re:Invent conference in Las Vegas. The cloud giant bolstered its flagship AI development tool with new capabilities for data labeling, integra Read more…

You’ve Been Warned–Bad Data Models are Capable of Destroying Companies

The field of data science has already delivered incredible results in finding business problems and creating models which generate market insights. But bad or failing models can also deliver erroneous results which can d Read more…

Your Data Is Talking. Are You Listening?

Imagine you’re reading a murder mystery. The plot’s thickening, the game’s afoot, you’re pages away from knowing who’s done it and you’ve reduced your fingernails to a stub. Then, all of a sudden, a new chara Read more…

Snowflake Adds Python Support with Winter Release

In a nod to the growing importance of data science and AI development on its platform, Snowflake today unveiled that its upcoming Winter Release will support for executing code written in Python, which is the most popula Read more…

AT&T and H2O.ai Team Up on Feature Store

Telecom giant AT&T and AI startup H2O.ai have teamed up to co-develop a feature store, which the companies announced today. The jointly developed H2O AI Feature Store will be available for any company to help better Read more…

Hallmarks of AI Success in the Enterprise

We’re in the midst of a rapid uptake of AI in the enterprise across the board, but there are big differences in the results and the workflows in these AI practices. For its latest “State of AI in the Enterprise” re Read more…

ML Needs Separate Dev and Ops Teams, Datatron Says

In the machine learning world, the folks developing models often are the same folks who are tasked with running the models in production. And they often use the same end-to-end ML software stacks. But emerging best pract Read more…

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