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Data Science 101: Cassandra Tutorial for Beginners

Provided by our friends over at Edureka, Module 1 of their Apache Cassandra course below discusses the fundamental concepts of using a highly-scalable, column-oriented database to implement appropriate use cases.

The Major Roadblocks Facing the Smart City

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In this special guest feature, Cristian Borcear of NJIT reflects on the evolution of technology and public policy in support of so-called “smart cities. ” Cristian Borcea is an Associate Professor and the Associate Chair of the Department of Computer Science at New Jersey Institute of Technology.

Data Science 101: Support Vector Machines

Support Vector Machines (SVM) is an important and widely used machine learning algorithm. In order to fully understand SVMs, you need to have a fundamental understanding of how the statistical learning method functions. Here is a useful lecture on SVM coming from MIT OpenCourseware.

Glassbeam Unveils Machine Learning and Real Time Analytics Capabilities

Glassbeam, Inc., the machine data analytics company, today announced a new version of Glassbeam SCALAR tightly integrated with Apache Spark™, enhancing its cutting-edge Internet of Things (IoT) analytics platform with new capabilities around advanced machine learning and real-time analytics.

How to Become a Data Scientist in 8 Easy Steps

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Our friends over at DataCamp just came out with a cool new infographic entitled “Become a Data Scientist in 8 easy steps.” This hits home to a lot of people who are trying to enter this new industry hoping to satisfy a lot of unfilled job openings. The question is how best to make this transition. The useful infographic below will help answer this question by outlining the process of becoming a data scientist.

Ask a Data Scientist: The Data Science Process

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who wonders if there is a general process for conducting data science projects.

Ask a Data Scientist: The Bias vs. Variance Tradeoff

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who wants an explanation of the “bias vs. variance tradeoff in statistical learning.”

Revolution Analytics Introduces Revolution R Open and Revolution R Plus

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Revolution Analytics, the only commercial provider of open source R software, today announced two new offerings that support the open source R community and elevate R’s capabilities to enterprise-level performance. Revolution R Open is a free, open source R distribution that enhances R performance, makes it easier to share R scripts and improves collaboration on R-based advanced analytics applications.

Cornerstone OnDemand to Acquire Evolv for $42.5 Million

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Cornerstone OnDemand (NASDAQ:CSOD), a global leader in cloud-based talent management solutions, announced that the company has entered into a definitive agreement to acquire privately-held Evolv Inc. With its leading machine learning and data science platform, the acquisition of Evolv will allow Cornerstone clients to leverage the power of big data analytics to make better workforce decisions.

Understanding Active Risk Management with High Performance Data

This webinar is focus on understanding active risk management with high performance data and grid management.