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November 2016 Blog Posts (95)

Getting the Social Data Intelligence right

As the reach of social data expands by every passing day, more and more people are posting their views, thoughts and ideas over a broad array of interconnected social networks. In the era of the booming social media it is critical for businesses to sieve through social data - data generated through the multiple social media channels to gather the actionable insights.

 

Garnering Social Data Intelligence

Simply mapping social data to figure out data…

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Added by Sherna Jay on November 17, 2016 at 9:53pm — No Comments

Everything you need to Know about Scaling MySQL

E-Commerce has been on the rise with more and more businesses taking to online platforms to reach out to their clientele. Consequently, there has been a significant increase in the number of online spending, which has been due to the increase in the adoption and ownership of mobile devices that has resulted in a shift to the web. As a result, shoppers are always looking out for unmatched shopping experiences. That is, quick access, round-the-clock availability, accessible content and smooth…

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Added by Tony Branson on November 17, 2016 at 9:00pm — No Comments

15 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

15 Great Blogs Posted in the last 12 Months…

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Added by Vincent Granville on November 17, 2016 at 6:30pm — No Comments

Thursday News: R, Neural Nets, Watson, Regression, Data Sets, Salary Survey

Here is our new selection of featured articles and resources, posted since Monday:

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Added by Vincent Granville on November 17, 2016 at 10:30am — No Comments

Introduction to Number Theory: Fascinating Facts and Conjectures about Primes and Other Special Numbers

I discuss here off-the-beaten-path beautiful, even spectacular results from number theory: not just about prime numbers, but also about related problems such as integers that are sum of two squares. The connection between these numbers and prime numbers will appear later in this article. A few important unsolved mathematical conjectures are presented in a unified approach, and some new research material is also introduced, especially an attempt at generalizing and unifying concepts related…

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Added by Vincent Granville on November 16, 2016 at 10:00pm — No Comments

Matrix Multiplication in Neural Networks

This post is the outcome of my studies in Neural Networks and a sketch for application of the Backpropagation algorithm. It's a binary classification task with N = 4 cases in a Neural Network with a single hidden layer. After the hidden layer and the output layer there are sigmoid activation functions. Different colors were used in the Matrices, same color as the Neural Network structure (bias, input, hidden, output) to make it easier to understand.…

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Added by Rubens Zimbres on November 16, 2016 at 11:00am — 4 Comments

A Plethora of Data Set Repositories

These 19 'sets of data sets' cover free or public data from various industries, including small and large, structured and unstructured data sets. Hone your data science and machine learning skills on these data sets, or use them for testing algorithms  or for benchmarking.

19 data set repositories

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Added by Vincent Granville on November 16, 2016 at 8:30am — 1 Comment

How to Ensure Your CRM Data Is Fit For Purpose



In this post we provide you with seven ways you can improve the quality of your data and ensure it is fit for purpose.

Constantly improving upon the quality of your data is essential to remain ahead of your competition. Failure to keep your data up to date will result in a 30% erosion in the value of your most…

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Added by Martin Doyle on November 16, 2016 at 2:30am — No Comments

How to get the right data skills

In this post I want to talk about all of us finding our place and building our careers in data. And when I say “data”, I mean analytics, data science, business intelligence, and so on. In the previous post, I talked…

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Added by Olga on November 15, 2016 at 8:00pm — No Comments

One-page R: a survival guide to data science with R

This article comes from Togaware.

A Survival Guide to Data Science with R

These draft chapters weave together a collection of tools for the data scientist—tools that are all part of the R Statistical Software Suite.

Each…

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Added by Emmanuelle Rieuf on November 15, 2016 at 1:00pm — No Comments

Machine Learning Poised to Impact Business Analytics

We may be years away from the “AI-enabled Coworker,” but the first implementations of machine-learning capabilities are finding their way into the everyday data-analysis tools used by businesses of all types. Cognitive assistance promises to reshape business processes, but only if app development and deployment tools are adapted to support machine learning.

While it has become fashionable to hypeAIas the next game-changing technology promising to have an impact greater than either…

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Added by Emmanuelle Rieuf on November 15, 2016 at 11:00am — No Comments

What Can Modern Watson Do?

Summary:  IBM’s Watson as it exists today is as close as we’ve come to a single integrated platform for AI.  It contains all the capabilities for image and video, natural language speech and text input and output, and the most comprehensive knowledge recovery module yet combined together.  If you want to exploit the advances we’ve made in AI you need to understand where Watson is today and where it’s heading.

 

Recently we wrote about how the…

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Added by William Vorhies on November 15, 2016 at 8:47am — No Comments

Visualizing Survey Data

This article comes from Data Revelations, a training, consulting, and development practice devoted to helping organizations understand, analyze, and share their data.

Here is a consolidation of the various blog posts Data Revelations has written on visualizing survey data:

General Survey…

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Added by Emmanuelle Rieuf on November 15, 2016 at 8:00am — No Comments

Regression (LR and MLR) and differences, not for the Economy. Professional analyst should be able to answer these three questions.

To produce a regression analysis of inference that can be justified or trustworthy in the sense that helpful. The term in the statistical methods that generate a linear the best estimator is not bias (best linear unbiased estimator) abbreviated BLUE. Then there are some other things that are also important to note, in which the data to be processed, must meet certain requirements. In terms of statistical methods some terms or conditions of the so-called classical assumption test. Because…

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Added by Jeefri A. Moka on November 14, 2016 at 11:00am — 5 Comments

White House Reports on Big Data, Algorithmic Systems, and Civil Rights

White House report on embedding civil rights principles into algorithms.

Table of Contents:

PREFACE........................4

  • The Assumption: Big Data is Objective.......6
  • Challenge 1: Inputs to an Algorithm...........7
  • Challenge 2: The Design of Algorithmic…
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Added by Emmanuelle Rieuf on November 14, 2016 at 8:30am — No Comments

Understanding machine learning #3: Confusion matrix - not all errors are equal

One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy. Let’s assume that we have a model which, based on historical data, calculates if a client will pay back credit obligations. We evaluate 100 bank customers and our model correctly guesses in 93 instances. That may appear to be  a good result – but is it really? Should we consider a model with 93% accuracy as adequate?

It depends. Today, we…

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Added by Algolytics on November 13, 2016 at 4:30am — No Comments

Probabilistic Pentesting

Pentesting tools like Metasploit, Burp, ExploitPack, BeEF, etc. are used by security practitioners to identify possible vulnerability points and to assess compliance with security policies. Pentesting tools come with a library of known exploits that have to be configured or customized for your particular environment.  This configuration typically takes the form of a DSL or a set of fairly complex UIs to configure individual…

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Added by Arshak Navruzyan on November 12, 2016 at 1:00pm — No Comments

Weekly Digest, November 14

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcements

  • We’ve cracked the code to better BI. Get the intel on how to unlock your data’s true potential. View the…
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Added by Vincent Granville on November 12, 2016 at 11:00am — No Comments

Data Protection in the Ransomware Era

 

The latest ransomware computer viruses like Thor encrypt your data files and make them useless. Ransomware authors require ransom to be paid to have your data decrypted. Some ransomware types delete your data for ever.

Cyber criminals turn their eyes toward this criminal business and after targeting individual computer users, they start targeting businesses…

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Added by Madeline Dickson on November 12, 2016 at 9:30am — 1 Comment

Hiring a Chief Data Scientist



A number of my mid-sized European clients recently have asked me to help them scope and recruit for the role of Chief Data Scientist (also scoped as ‘Head of Data Science’, ‘Lead Data Scientist’, ‘Head of Analytics’, etc.).    

 

This lead data science role is typically opened by the client company for one of two…

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Added by David Stephenson on November 12, 2016 at 1:00am — No Comments

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