Filippo Mariani

40 Added | 4 Magazines | 7 Likes | 31 Followers | @fmariani | Sales Engineer @IBM Analytics

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Posted by Peter Liu and Xin Pan, Software Engineers, Google Brain Team Every day, people rely on a wide variety of sources to stay informe...

TensorFlow

Open Sourcing WhereHows: A Data Discovery and Lineage Portal | LinkedIn Engineering

The Consequence of Specialization: Mo’ Systems, Mo’ Problems<p>Our Solution<p>A couple of years ago, we decided to buckle down and build a central metadata …

Big Data

Nvidia GPU + CoreOS + Docker + TensorFlow = A Fast, Flexible, Deep Learning Platform

The Challenge<p>Providing data scientists with the best tool for the job is hard. They need everything from their computers - raw performance, …

DevOps

Common Probability Distributions: The Data Scientist’s Crib Sheet

<b>Data scientists have hundreds of probability distributions from which to choose. Where to start?</b>Data science, whatever it may be, remains a big deal. …

Data Science

A New Library for Analyzing Time-Series Data with Apache Spark

<b>Time-series analysis is becoming mainstream across multiple data-rich industries. The new spark-ts library helps analysts and data scientists focus</b> …

Big Data

Use Apache Hadoop and Tableau to Improve Marketing Outcomes

Psst… hey, can you keep a secret?<p>I heard from a reliable source who shall remain nameless that there’s a new Star Wars movie about to hit the …

Big Data

The Top 10 Cloudera Engineering Blog Posts of 2015

<b>Which topics interested attracted the most community interest in 2015? Find out below.</b>It’s our annual custom to bring you a list of this blog’s most …

Skew

The Doctor Will See You (and Your Data) Now

<b>By David Agus</b><p>Illustration by Mike McQuade for Fortune<p>December 26, 2015, 6:30 AM EST<p><i>The secrets to your health and longevity are hiding within you. At</i> …

New Hybrid Rare-Event Sampling Technique for Fraud Detection

<b>By Ross Bettinger</b>.<p>I once had a fraud detection problem involving 2,000 observations labeled Fraudulent out of 1,000,000 total population, a 0.2% …

Big Data

How-to: Tune Your Apache Spark Jobs (Part 1)

<b>Learn techniques for tuning your Apache Spark jobs for optimal efficiency.</b>(Editor’s note: Sandy presents on “Estimating Financial Risk with Spark” at …

Databases

4 Times Data Science Saved the Day

Behind every great innovation is a great insight.<p>Increasingly, 21st century insight and innovation are powered by data. As data science matures past …

On the Hadoop market. Interview with John Schroeder

<b>” Hadoop continue to mature with regards to structuring data and interactive query, so future overlap between Hadoop and OLAP will increase.”– John</b> …

Finding The Elusive Big Wisdom In Big Data

You probably already know ‘Big Data’ is top of mind heading into 2015. How could you not? You are hearing about it constantly from vendors and journalists alike (guilty as charged). And you know what that hype says, right? Big data is going to provide all the answers, make your companies run more …

Four Ways To Innovate Using Big Data And Analytics

When it comes to big data, organizations are feeling the need for speed. Using the cloud as a platform for innovation, companies are rolling out big data and analytics technologies not simply to transform how they engage with customers, but to change how their businesses do business.<p>This …

How Big Data Will Help Save Healthcare

More and more companies are talking about big data these days—but it’s more than a buzzword. It might just change the way healthcare works in the U.S. From better patient outcomes to a more transparent healthcare system to more accessible and affordable care, big data could change every inch of the …

Julia is lightning fast: bubble sort revisited

(This article was first published on <b>NumberTheory » R stuff</b>, and kindly contributed to R-bloggers)<p>I had heard the name of the new technical computing …

R Language

Quantitative Finance Applications in R

<i>by Daniel Hanson, QA Data Scientist, Revolution Analytics</i><p>Extracting Financial Data from Internet Source Using R (first in a series)<p>Earlier this …

Stock Markets

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The Tale of Big Data Stampede | IBM Big Data & Analytics Hub

A year ago IBM in conjunction with Said Business Schools asked executives across the globe what were their key challenges when implementing big data …

Stream Mining essentials

A series of open source, distributed stream processing frameworks have become essential components in many big data technology stacks. Apache Storm …

Data Science

InfoSphere Streams text analytics

Understanding the capability and how to use it<p>From the developerWorks archives<p>Jacques Roy<p>Date archived: January 13, 2017 | First published: October …