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Featured Blog Posts – June 2016 Archive (98)

Outsourcing big data analytics

In recent years, many companies realized how much competitive advantage big data analytics can bring to their business model. This has drastically increased the demand for big data professionals. Since top talents in this field are already hard to find, companies often need to outsource big data analytics in order to bridge over labor market’s skill gap.

Many…

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Added by Nate Vickery on June 23, 2016 at 4:30am — 1 Comment

Statistics is Dead – Long Live Data Science…

I keep hearing Data Scientists say that ‘Statistics is Dead’, and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates.

So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? And are they right?

Is statistics dead or is it just pining for…

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Added by Lee Baker on June 23, 2016 at 2:30am — 28 Comments

Self-driving cars in cornfields

By Tyler Schnoebelen, June 21, 2016.

You can turn right on red in Iowa. Except not where I was last night, from Washington Street on to Linn, which I only realized as I read the “no right on red” sign mid-turn. You’re definitely not supposed to turn left on red, which is what I did a few blocks earlier going from Iowa St. to Clinton. I have no excuse except—I’m not kidding—my mind was preoccupied by thoughts about self-driving…

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Added by Leena Kamath on June 22, 2016 at 11:30am — No Comments

A Complete Tutorial on Linear Regression with R

This article explains how to run linear regression with R.

Table of Contents:

  • Linear Regression
  • Variable Type
  • Simple vs. Multiple Linear Regression
  • Regression Equation
  • Important Term : Residual
  • Algorithm
  • Minimum Sample Size
  • Assumptions of Linear…
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Added by Emmanuelle Rieuf on June 22, 2016 at 10:30am — 1 Comment

Bookdown: Authoring Books with R Markdown

This book is a guide to authoring books with R Markdown (Allaire et al. 2016) and the R package bookdown (Xie 2016a). It focuses on the features specific to writing books, long-form articles, or reports, such as

  • How to…
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Added by Emmanuelle Rieuf on June 22, 2016 at 9:30am — No Comments

Dozens of Great Interactive Data Visualizations from Nesta

This article was posted on the website Nesta. Nesta is an innovation charity with a mission to help people and organisations bring great ideas to life 

As more public datasets are opened up, finding effective ways to communicate the messages within them becomes increasingly important. There is no shortage of data available to us, but it can be difficult to extract meaning from it in its raw state. That’s where data visualisation comes in. Effective data vis can…

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Added by Emmanuelle Rieuf on June 22, 2016 at 9:00am — No Comments

20 Cool Big Data Platforms And Tools Vendors

This article was written by Rick Whiting. Rick has been a senior editor with The Channel Company, including CRN. The CRN editorial team has created the fourth annual Big Data 100 list, identifying vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses work with big data.…

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Added by Emmanuelle Rieuf on June 21, 2016 at 1:30pm — No Comments

The challenges of word embeddings

In recent times deep learning techniques have become more and more prevalent in NLP tasks; just take a look at the list of accepted papers at this year’s NAACL conference, and you can’t miss it. We’ve now completely moved away from traditional NLP approaches to focus on deep learning and…

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Added by Mike Waldron on June 21, 2016 at 3:30am — No Comments

Introduction to ARM Processors

 1. Introduction to Microcontroller:

A microprocessor system consists of a microprocessor with memory, input ports and output ports connected to it externally. A microcontroller is a single chip containing a microprocessor, memory, input ports and output ports. Since all four blocks reside on the one chip, a microcontroller is much faster than a microprocessor system.

   …

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Added by m.kiransingh on June 21, 2016 at 3:30am — No Comments

DataViZ, Data Science and Machine Learning White Papers - Part 1

We start this four-part whitepaper series with Tableau. Tableau is business intelligence software that helps people see and understand their data. You can add scientific articles relevant to data science, IoT, machine learning, deep learning, big data, dataviz, stats, operations research, AI, machine-to-machine communications, scientific programming and related topics…

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Added by Emmanuelle Rieuf on June 20, 2016 at 1:30pm — No Comments

IoT 101 – Everything You Need to Know to Start Your IoT Project

Summary:  This is the first in a series of articles aimed at providing a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system. 

In This Article…

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Added by William Vorhies on June 20, 2016 at 10:30am — 2 Comments

Book: Mastering Machine Learning with R

Master machine learning techniques with R to deliver insights for complex projects

About This Book

  • Get to grips with the application of Machine Learning methods using an extensive set of R packages
  • Understand the benefits and potential pitfalls of using machine learning methods
  • Implement the numerous powerful features…
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Added by Emmanuelle Rieuf on June 20, 2016 at 8:36am — No Comments

Write Code to Rewrite Your Code: jscodeshift

Codemods with jscodeshift

How many times have you used the find-and-replace functionality across a directory to make changes to JavaScript source files? If you’re good, you’ve gotten fancy and used regular expressions with capturing groups, because it’s worth the effort if your code base is sizable. Regex has limits, though. For non-trivial changes you need a developer who understands the code in context and is also willing to take on the long,…

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Added by Irina Papuc on June 20, 2016 at 7:00am — No Comments

Inspiring Imagination In Data Science: Qualitative Profiling

Overview

“The only function of economic forecasting is to make astrology look respectable John Kenneth Galbraith

Predictive modeling and traditional ratemaking is an exercise of forecasting the future, whether directly or indirectly (indirectly as generalizing historical lessons to the future). But is such forecasting so hopeless as being same as seeing into a crystal ball?

The advantage of data scientist and actuaries is their close in contact with…

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Added by Syed Danish Ali on June 20, 2016 at 2:30am — No Comments

Shakespeare and Fuzzy Logic

Shakespeare and Fuzzy Logic[1]

There are more things in heaven and earth, Horatio, than are dreamt of in your philosophy. - Hamlet (1.5.167-8), Hamlet to Horatio[2]

Shakespeare teaches us in this Hamlet quote that reality is much more complex than our mental projections and understanding. Reality is fuzzier than we would care to think. Although introducing subjectivities to modeling seems to harm the…

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Added by Syed Danish Ali on June 20, 2016 at 2:24am — 1 Comment

Modeling Meditations

We should attempt to creatively synthesize the many pluralistic approaches as well as focus more on synergistic interpretation of findings of these pluralistic researches.

 

We can recognize that though we cannot precisely predict black swans but forecasting emerging liabilities and their ratemaking can be a professional-character building experience in itself where we train to be better evolvers rather than better predictors alone.[1]

 

We can…

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Added by Syed Danish Ali on June 20, 2016 at 1:44am — No Comments

Machine Learning: An Analytical Invitation to Actuaries

This post highlights the various value-additions that machine learning can provide to actuaries in their analytical work for insurance companies. As such, a key problem of swapping specific risk for systematic risk in general insurance ratemaking is highlighted along with key solutions and applications of machine learning algorithms to various insurance analytical problems.

‘In pricing, are we swapping specific risk for systematic risk?’[1]

The…

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Added by Syed Danish Ali on June 20, 2016 at 1:30am — No Comments

Guide to Deep Learning

Up till recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops.[1] In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents promising prospect for overcoming problems of big data. Deep learning is a method of machine learning that undertakes calculations in a layered fashion starting from high…

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Added by Syed Danish Ali on June 20, 2016 at 1:15am — No Comments

Key tools of Big Data for Transformation: Review & Case Study

Review

The challenges of big data can be captured succinctly as follows[1],[2]:

  • Volume; ever increasing volume which breaks down traditional data-holding capacity
  • Variety; more and more heterogeneous data from many formats and types are bombarding the data environment
  • Velocity; more and more data is time sensitive now; frequent updates are taking place instead of relying on historical old data and…
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Added by Syed Danish Ali on June 20, 2016 at 1:03am — 1 Comment

Intro to Bigdata Architecture

Architecture:

In 2000, Seisint Inc. (now LexisNexis Group) developed a C++-based distributed file-sharing framework for data storage and query. The system stores and distributes structured, semi-structured, and unstructured data across multiple servers. Users can build…

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Added by m.kiransingh on June 20, 2016 at 1:00am — No Comments

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