Amit Jain

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Questions to Ask When Applying Deep Learning

We can’t answer these questions for you, because the responses will be specific to the problem you seek to solve. But we hope this will serve as a …

Deep Learning

Deep Learning vs Machine Learning vs Pattern Recognition

Lets take a close look at three related terms (Deep Learning vs Machine Learning vs Pattern Recognition), and see how they relate to some of the …

Doing Data Science at Twitter

A reflection of my two year Journey so far. Sample size N = 1<p>Motivation<p>On June 17, 2015, I celebrated my two year #Twitterversary @Twitter. Looking …

Your elusive creative genius

Elizabeth Gilbert muses on the impossible things we expect from artists and geniuses -- and shares the radical idea that, instead of the rare person …

Creativity

Meet Deeplearning4J and BIDData, two emerging Machine Learning technologies for the JVM

The explosive interest in building and deploying message-driven, elastic, resilient and responsive Reactive applications in enterprises continues to …

Parallel and Iterative Processing for Machine Learning Recommendations with Spark

Recommendation systems help narrow your choices to those that best meet your particular needs, and they are among the most popular applications of …

Data Science

A Brief History of Scaling LinkedIn | LinkedIn Engineering

LinkedIn started in 2003 with the goal of connecting to your network for better job opportunities. It had only 2,700 members the first week. Fast …

Paco Nathan - IBM Spark Summit 2015 - theCUBE

Big Data

What's the difference between Causality and Correlation?

Introduction<p>Causation and Correlation are loosely used words in analytics. People tend to use these words interchangeably without knowing the …

Hadoop Summit 2015: Performance Optimization at Scale, Lessons Learned at Twitter (Alex Levenson)

Hadoop

Paul Ford: What Is Code? | Bloomberg

Remember Netscape, the first huge commercial Web browser? In 1995, as Java was blooming, Netscape was resolving a problem. It displayed Web pages …

JavaScript

Juggling with Bits and Bytes

11 May 2015 by Fabian Hüske (@fhueske)<p>How Apache Flink operates on binary data<p>Nowadays, a lot of open-source systems for analyzing large data sets …

Burrow: Kafka Consumer Monitoring Reinvented | LinkedIn Engineering

One of the responsibilities of the Data Infrastructure SRE team is to monitor the Apache Kafka infrastructure, the core pipeline for much of …

Open Sourcing Pinot: Scaling the Wall of Real-Time Analytics | LinkedIn Engineering

Last fall we introduced Pinot, LinkedIn’s real-time analytics infrastructure, that we built to allow us to slice and dice across billions of rows in …

Flying faster with Twitter Heron

We process billions of events on Twitter every day. As you might guess, analyzing these events in real time presents a massive challenge. Our main …

Building 'Failure as a Service' at Netflix without the Simian Army

At QCon New York 2015, Kolton Andrus discussed Netflix’s Failure Injection Testing (FIT) platform, which allows the injection and monitoring of …

Learn How Our Data Architecture Works

VoltDB makes some big promises. Why should you believe us?<p>We say it’s the fastest operational database in the world.<br>• We say it maintains the strongest …

YouTube

Schema-free SQL for Hadoop, NoSQL and Cloud Storage

The Rise of the Non-Relational Datastore<p>Deployment Options and BI Tools<p>Connecting to Data Sources<p>High Performance with a JSON Data Model<p>Apache …

Apache Drill: Introduction, Differentiation and Use Cases – Webinar Q & A Follow Up

We recently wrapped up a webinar series, covering global audience, on the topic of “Apache Drill: Introduction, Differentiation and Use Cases” that …

Databases

[1505.01504] A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models

Computer Science > Neural and Evolutionary Computing<p>Title: A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural …

Deep Learning

Top 10 data mining algorithms in plain English

Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey …

Inside The Mind That Built Google Brain: On Life, Creativity, And Failure

<i>(Photo: Jemal Countess/Getty)</i><p>Here's a list of universities with arguably the greatest computer science programs: Carnegie Mellon, MIT, UC Berkeley, and Stanford. These are the same places, respectively, where Andrew Ng received his bachelor's degree, his master's, his Ph.D., and has taught for 12 …

From scaling LinkedIn to selling a nervous system for enterprise data

In the first of a series of in-depth interviews we’re planning at SCALE, I spoke with big data expert Jay Kreps. Kreps is most often associated with …

Plain Text

Sourcegraph Server is a free, self-hosted code search and intelligence server that helps developers find, review, understand, and debug code. Use it …

Introduction to Apache Kafka

Duration<p>Why use Kafka? Describes the benefits of Kafka and common use cases.<p>00:11:23<p>Introducing basic terminology and fundamentals of Kafka …

Software Development

Elements of Scale: Composing and Scaling Data Platforms

<i>This post is the transcript from a talk, of the same name, given at Progscon & JAX Finance 2015.</i> <i>There is a video also.</i>As software engineers we are …

Self-printing a wall-sized world map

Dominik Schwarz wanted a big world map. A really big one that covered his entire wall in high detail.<p>You can get great world maps up to around 1,50m …

Cassandra Use Case – including Performance Monitoring

For those of you using Cassandra or considering it, we’ve got another Sematext user’s Planet Cassandra case study for your reading pleasure. In this …

Databases

Call me maybe: MongoDB stale reads

In May of 2013, we showed that MongoDB 2.4.3 would lose acknowledged writes at all consistency levels. Every write concern less than MAJORITY loses …