Scala

See the following -

Christine Doig on Data Science as a Team Discipline

Srini Penchikala | Info Q | August 26, 2016

Data science is about the design and development of solutions to extract insights from data (structured and unstructured) using machine learning and predictive analytics techniques and tools. Data Science as a discipline and Data Scientist as a role have been getting lots of attention in the recent years to solve real world problems with solutions ranging from fraud detection to recommendation engines. Christine Doig, Senior Data Scientist at Continuum Analytics, spoke at this year’s OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem.

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Cloudera Unveils Open Source Workbench to Accelerate Data Science and Machine Learning

Press Release | Cloudera | May 1, 2017

Cloudera, Inc., the provider of the leading modern platform for machine learning and advanced analytics built on the latest open source technologies, announced the general availability of the Cloudera Data Science Workbench, its self-service tool for data scientists. The workbench, announced in beta at Strata+Hadoop World San Jose 2017, enables fast, easy and secure self-service data science for the enterprise. "We are entering the golden age of machine learning and it's all about the data. However, data scientists continue to struggle to build and test new analytics projects as fast as they would like, particularly in large scale environments," said Charles Zedlewski, senior vice president, Products at Cloudera.

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Hot Programming Trends from 2016

Technology is constantly moving forward—well, maybe not always forward, but always moving. Even for someone who keeps an eye on the trends and their effect on programmers, discerning exactly where things are headed can be a challenge. My clearest glimpse into open source programming trends always comes in the fall when I work with my fellow chairs, Kelsey Hightower and Scott Hanselman, and our fantastic programming committee to sculpt the coming year's OSCON (O'Reilly Open Source Convention). The proposals that we get and the number focused on specific topics turn out to be good indicators of hot trends in the open source world. What follows is an overview of the top programming trends we saw in 2016...

Recursion Pharmaceuticals Selects Anaconda to Create Innovative Next Generation Drug Discovery Assay Platform to Eradicate Rare Genetic Diseases

Press Release | Recursion Pharmaceuticals, Continuum Analytics | October 26, 2016

Continuum Analytics, the creator and driving force behind Anaconda, the leading open data science platform powered by Python, today announced that Recursion Pharmaceuticals, LLC, a drug discovery company focused on rare genetic diseases, has adopted Bokeh––a Continuum Analytics open source visualization framework that operates on the Anaconda platform. Bokeh on Anaconda makes it easy for biologists to identify genetic disease markers and assess drug efficacy when visualizing cell data, allowing for faster time-to-value for pharmaceutical companies...

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What Is Deep Learning, and Why Should You Care About It?

Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days, promising to take applications to new heights in how they interact with us mere mortals. To go deeper (yes, I went there) on the subject, I reached out to the team at the deep learning-focused company Skymind, creators of Deep Learning For Java (DL4J), and authors of the recently released O'Reilly book Deep Learning: A Practitioner's Approach, Josh Patterson and Adam Gibson...