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October 2017 Blog Posts (100)

4 Steps on How to Present an SEO Data Analytic Report

Whether for yourself, a client, or any other business, an SEO data analytic report can be essential if you’re going to enjoy some level of success this year. Of course, the journey starts with a need to get the business higher up the rankings but it continues with passion and some level of knowledge.

Over time, you might introduce some new SEO techniques and change what the business is doing in terms of content.

 However, changes are no…

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Added by Michell Morgan on October 31, 2017 at 10:30pm — No Comments

How to Create an Intelligent Company

Nowadays, companies are besieged by information and the possibilities of new IT solutions. With the rapid advancements in information technology and high speed Internet, companies now have access to huge amounts of information, processing and sharing systems regarding customers, their demographics, and their…

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Added by Ronald van Loon on October 31, 2017 at 8:30pm — No Comments

Trend Analysis of Fragmented Time Series: Hypothesis Testing Based Adaptive Spline Filtering Method

Missing data present significant challenges to trend analysis of time series. Straightforward approaches consisting of supplementing missing data with constant or zero values or with linear trends can severely degrade the quality of the trend analysis, which significantly reduces the reliability of the trend analysis. …

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Added by Ted on October 31, 2017 at 7:30pm — No Comments

Ux + AI = Cognitive Ergonomics

Summary:  The addition of AI capabilities to our personal devices, applications, and even self-driving cars has caused us to take a much deeper look at what we call ‘User Experience’ (Ux).  A more analytical framework identified as Cognitive Ergonomics is becoming an important field for data scientists to understand and implement.

 …

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Added by William Vorhies on October 31, 2017 at 9:51am — No Comments

Natural Language Understanding (NLU) in Enterprise – Digesting IPO Prospectus

Introduction

Business ventures based on existing or disruptive business models taking on the route of Initial Public Offering are always a challenge to investors who want to profit from early investment into those would be “unicorn IPO”. A good investment may get worse before it gets better. Others may get worse and never recover. Aside from the macroeconomics and consumer trends that could affect the outcome of such investments, the fundamentals of these new public offerings…

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Added by Sing Koo on October 31, 2017 at 2:30am — No Comments

Artificial Intelligence is not “Fake” Intelligence

Quick quiz!

What’s the first thing that comes to mind when you hear the following phrases?

  • Artificial grass
  • Artificial sweeteners
  • Artificial flavors
  • Artificial plants
  • Artificial flowers
  • Artificial diamonds and jewelry
  • Artificial (fake) news

These phrases probably evoke thoughts such as “fake,” “not real,” or even “shabby.” Artificial is such a harsh adjective.…

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Added by Bill Schmarzo on October 30, 2017 at 6:30pm — No Comments

Understanding Data Roles

Understanding Data Roles

By Michael Burke

With the rise of Big Data has come the accompanying explosion in roles that in some way involve data. Most who are in any way involved with enterprise technology are at least familiar with them by name, but sometimes it’s helpful to look at them through a comprehensive lens that shows us how they all fit together. In…

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Added by Michael Burke on October 30, 2017 at 6:00pm — 2 Comments

With Great Data Comes Great Responsibility

We all know the phrase “with great power comes great responsibility”, what most people are unaware of is that data is the new world power.

All over the world, across multiple industries, businesses and individuals alike are beginning to harness the power that good data can…

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Added by Martin Doyle on October 30, 2017 at 2:30am — No Comments

Frankenstein's Data Scientist

 

Much like Dr. Frankenstein’s creation, the modern Data Scientist is made up of different parts to fully create an unstoppable data science Prometheus. To get ahead, you must exhibit both technical and soft skills; a smorgasbord of different technical, personal and business skills. 

 

Frankenstein made a monster of different body parts, so let's have a bit of fun this Halloween, and see what his Data Scientist be made…

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Added by Matt Reaney on October 30, 2017 at 2:00am — No Comments

A View on the Difficulty of Stored Procedure Migration

The difficulty to migrate a stored procedure to other databases is always a subject of criticism. This is seldom forgotten every time when the shortcomings of the stored procedure are listed.

The migration of a stored procedure for handling the complex business logic is particularly problematic because its coding depends on the unique features and syntax of different databases and thus it needs to be recoded with the database changed. The cost won’t be very high if…

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Added by JIANG Buxing on October 30, 2017 at 12:00am — 1 Comment

Fiori Is The Latest Buzz Word In The SAP World

What is SAP Fiori? Well, in simple words, the Fiori buzz can be defined as newly written series of apps by SAP which is meant to address most frequently and broadly practiced SAP functions- like information lookups, workflow approvals & self-service tasks. It’s to stress here that SAP is building the Fiori applications on its state of the art SAPUI5 user-interface framework.

Earlier business software programs often lacked a smooth user experience but Fiori is claimed to change all…

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Added by Amita on October 29, 2017 at 8:00pm — No Comments

Logistic Map, Chaos, Randomness and Quantum Algorithms

To read my most recent article about chaotic systems, click here

The logistic map is the most basic recurrence formula exhibiting various levels of chaos depending on its parameter. It has been used in population demographics to model chaotic behavior. Here we explore this model in the context of randomness simulation, and revisit a…

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Added by Vincent Granville on October 29, 2017 at 8:00pm — 3 Comments

Weekly Digest, October 30

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.

Featured Resources and Technical Contributions

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Added by Vincent Granville on October 29, 2017 at 11:30am — 1 Comment

Data Warehouse and Data Lake Analytics Collaboration

This blog was written with the thoughtful assistance of David Leibowitz, Dell EMC Director of Business Intelligence, Analytics & Big Data

So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems…

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Added by Bill Schmarzo on October 29, 2017 at 4:30am — 10 Comments

Searching and Smelling by Objects to Find Profiles and Settings

A person will ordinarily search the contents of a database using matching keywords and tags.  Sophisticated databases might allow for filtering:  for example using NOT, AND, OR on a number of keyword strings such as both titles and product descriptions.  It is not normally possible to submit, say, a personality profile to a database - or a personality profile and a setting.  Searching for “serial murders subway terminals” might lead to event information about precisely this, apparent serial…

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Added by Don Philip Faithful on October 27, 2017 at 10:00am — No Comments

A Primer on Deep Learning

This article was written by Dallin Akagi.

What is deep learning?

I like to use the following three-part definition as a baseline. Deep learning is:

  1. a collection of statistical machine learning techniques
  2. used to learn feature hierarchies…
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Added by Amelia Matteson on October 27, 2017 at 9:30am — No Comments

Bitcoin Price Forecasting Using Model with Experts Opinions

One of the main goals in the Bitcoin analytics is price forecasting. There are many factors which influence the price dynamics. The most important factors are: the interaction between supply and demand, attractiveness for investors, financial and macroeconomics indicators, technical indicators such as difficulty, how many blocks were created recently, etc. A very important impact on the cryptocurrency price has trends…

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Added by Bohdan Pavlyshenko on October 26, 2017 at 11:30pm — No Comments

RELX Group: The Transformation to a Leading Global Information & Analytics Company (Part 2)

With the world changing so rapidly, every company or organization that adapts to the changes becomes an example for all others. One very recent example for all companies to learn from and implement in their own decision making is the transformation of RELX Group to a leading global information and…

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Added by Ronald van Loon on October 26, 2017 at 4:30pm — No Comments

Thursday News: Random circles, graph theory, regression, trading Bitcoin, computational photography...

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

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Added by Vincent Granville on October 26, 2017 at 8:20am — No Comments

Machine Learning Algorithms: Which One to Choose for Your Problem

When I was beginning my way in data science, I often faced the problem of choosing the most appropriate algorithm for my specific problem. If you’re like me, when you open some article about machine learning algorithms, you see dozens of detailed descriptions. The paradox is that they don’t ease the choice.

In this article, I will try to explain basic concepts and give some intuition of using different…

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Added by Luba Belokon on October 26, 2017 at 6:00am — No Comments

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