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SAS Charts AI Future, But Doesn’t Forget Analytics Past

What happens when you put a neural network in charge of a rules-based marketing automation solution? Would the AI emerge victorious, or does the human driver still have a thing or two to show the talented mimicker? It's Read more…

Spotting Bugs in a Searchable Code Database

A stealthy developer of a software analytics engine designed for scanning code to spot security holes and programming glitches surfaced this week with a pair of investors and a strategy for making code searchable in a da Read more…

Python Gains Traction Among Data Scientists

Data scientists have a growing range of options when choosing analytical tools, and a new survey of tool preferences reveals a roughly even split in preferences among the three leading programming languages. In its an Read more…

Anaconda Enterprise Now Supports GPU Clusters

Organizations that need to train machine learning models on massive amounts of data may be interested in the latest release of Anaconda Enterprise, which adds support for training on GPU clusters. Customers running An Read more…

Transfer Learning Project Looks to Reuse Training Data

A new open source project seeks to simplify the use of a machine learning framework called “transfer learning” in which the ability to accomplish one task can be applied to subsequent tasks. Transfer learning spec 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…

SAS Previews Upcoming Enhancements to Viya Platform

Neural network interpretability, integration with open source analytic libraries, and greater mobility within SAS's product suite are among the capabilities that are coming to the SAS Viya platform later this quarter. Read more…

Which Machine Learning Platform Performs Best?

The advent of automated machine learning platforms has expanded the access and availability of algorithmic interpretation over the past several years. But how do the different machine learning platforms stack up from a p Read more…

Microsoft, Anaconda Expand Python Partnership

Microsoft and Python data science platform vendor Anaconda have extended their partnership by adding the software giant’s code editor to the latest Anaconda distribution. The addition of Microsoft’s Visual Studio Read more…

Which Programming Language Is Best for Big Data?

Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers' IT Read more…

One Containerized View of Data Science’s Future

Containers have emerged as legitimate platforms for running data science workloads. But are Docker and Kubernetes here for good, or is it just a passing data science fad? We looked to Anaconda's SVP of Products and Marke Read more…

Solving the ‘Last Mile’ Problem in Data Science

There's a ton of innovation occurring within the realm of data science at the moment thanks to a blossoming of machine learning technologies and techniques. But much of that innovation isn't getting into production becau Read more…

IBM Pairs Data Science Experience with Quantum Computer

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable proble Read more…

Machine Learning Education: 3 Paths to Get Started

Machine learning is the predictive heart of big data analytics, and one of the key skills that separates data scientists from mere analysts. But getting started with machine learning can be a challenge. Here are a few wa Read more…

NEC Claims Vector CPU Outperforms Spark

An arms race is shaping up in the machine-learning sector with the claim by NEC Corp. that its approach based on its vector processor accelerates data processing by more than a factor of 50 compared to the Apache Spark c Read more…

GOAI Publishes Python Data Frame for GPU Analytics

A group of data analytics vendors joined forces today at the GPU Technology Conference to create the GPU Open Analytics Initiative (GOAI) with the goal of fostering the development of a community of data science and deep Read more…

Biomedical Text Mining Tool Gets the Lead Out

Approximately 100 lines of Python code serve as the basis of a new predictive text-mining tool designed to accelerate the scanning online biomedical research papers for clues on everything from repurposing existing drugs Read more…

Data Platform Speeds Model Deployment

Data science platform startup Domino Data Lab, which launched its first product in 2014, rolled out its first upgrade this week designed to speed the deployment of predictive and other models along with the addition of a Read more…

Why Anaconda’s Data Science Tent Is So Big–And Getting Bigger

With more than 13 million downloads to date, Anaconda is blossoming into a real phenomenon in a crowded data science field. What made the collection of mostly Python-based tools so popular to data hackers—a dedication Read more…

A Platform Approach to Data Science Operationalization

Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. He understands there are mul Read more…

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