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Featured Blog Posts – November 2019 Archive (68)

Top 8 Data Science Use Cases in Marketing

Introduction

In this article, we want to highlight some key data science use cases in marketing.

As far as the key aim of data science is to turn data into actionable insights the marketing sphere…

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Added by Igor Bobriakov on November 13, 2019 at 7:00am — No Comments

Omitted Variables in Linear Regressions

The importance of completeness of linear regressions is an often-discussed issue. By leaving out relevant variables the coefficients might be inconsistent.

But why on earth?! 

Assuming a linear complete model of the form:

z = a + bx + cy + ε.

Where z is supposed to be dependent, x and y are independent and ε is the error term.

Now we drop y to check…

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Added by Frank Raulf on November 13, 2019 at 2:00am — No Comments

It’s Official – Our DNN Models are Now Commodity Software

Summary:  Booz Allen just launched a one-stop shop for all manner of pretested DNN models.  They’re even guaranteeing price.  This makes buying just like picking accounting, CRM, or HRIS software.  Equally as important, it’s a genius example of platform strategy to lock in customers and lock out competitors.

 …

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Added by William Vorhies on November 12, 2019 at 4:00pm — 1 Comment

Data science for managers: Programming languages

Programming languages are a tool for the realization of many powerful data science applications. But, there are so many of them and it has become confusing to choose the optimal one for your specific project. In this article, we are going to talk about popular languages for…

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Added by Igor Bobriakov on November 12, 2019 at 12:00pm — 1 Comment

IoT for Supply Chain Management: How to Use IoT for Enhanced Business Operations

The Internet of Things (IoT) has revolutionized the world we live in. Every global industry has the impact of IoT on it that only aims to increase the efficiency of business operations and provide better user experience ultimately. Apart from automated cars and retail stores…

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Added by Shady Johnson on November 12, 2019 at 2:30am — No Comments

Machine Learning and AI in Food Industry: Solutions and Potential

Artificial Intelligence and Machine Learning solutions offer large possibilities to optimize and automate processes, save costs and make less human error possible for many industries. Food and Beverage is not an exception, where it can be beneficially applied in restaurants, bar and cafe businesses as well as in food manufacturing. These two segments have common use cases where AI in the food industry can be applied, as well as different ones, which is linked to different…

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Added by Roman Chuprina on November 12, 2019 at 2:00am — No Comments

Exploit Economics of Autonomous to Transform Your Organization

One of the biggest threats to our world economy (outside of climate change, social inequality, unregulated proliferation of weapons and the rise of Terminators), is the retirement of the technician and engineering expertise that is necessary to keep our factories, hospitals, cities, trains, airports and other operational entities running effectively.  Deloitte’s 2018 skills gap in manufacturing study found that the skills gap may leave an estimated 2.4 million positions unfilled…

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Added by Bill Schmarzo on November 11, 2019 at 2:30pm — No Comments

Artificial Intelligence on Edge devices: an engineering led approach

Artificial Intelligence – Cloud and Edge implementations takes an engineering-led approach for the deployment of AI to Edge devices within the framework of the cloud.

We often use the word ‘engineering’ in casual conversation. However, in this context, we attach a specific meaning to Engineering. Engineering is the use of scientific principles to design and build machines, structures, and other items, including bridges, tunnels, roads, vehicles, and…

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Added by ajit jaokar on November 11, 2019 at 11:00am — No Comments

Adapt or Die: why your business strategy is failing your data strategy

A few years ago I took a call from an analyst at a hedge fund who was looking for external data that would, in his words, provide “alpha.” I explained that our company was connected to thousands of data sources and hundreds of thousands of public datasets; I told him that we were continuously pulling in open data from 70 countries, standardizing it through an ingestion pipeline trained against the largest catalogue of public data in the world, and serving it up…

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Added by Lewis Wynne-Jones on November 11, 2019 at 5:30am — No Comments

Top 8 Data Science Use Cases in Sales

In the times when data is of extreme value, industries cannot afford to ignore it. The only right choice for them is to find new ways to use data for their benefit.

These words have become a motto for the sales industry along with the others. As far as the feature of the…

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Added by Igor Bobriakov on November 10, 2019 at 10:31pm — 1 Comment

Variance of a Product of Random Variables

If X(1), X(2), ..., X(n) are independent random variables, not necessarily with the same distribution, what is the variance of Z = X(1) X(2) ... X(n)? It turns out that the computation is very simple:

In particular, if all the expectations are zero, then the…

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Added by Vincent Granville on November 10, 2019 at 10:30am — No Comments

Weekly Digest, November 11

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. To subscribe, follow this link.  

Featured Resources and Technical…

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Added by Vincent Granville on November 10, 2019 at 8:30am — No Comments

Would you buy insights from this guy?

“The first thing you need to do is get all the data in the same place”. We all remember the mantra that launched a thousand painful IT projects. The argument was that this would enable a “360-degree view of the…

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Added by Russell W Anderson on November 8, 2019 at 3:30am — No Comments

How to Leverage Model-Driven Architecture for Better Application?

Designing an application is not a child's play in any sense and developing an enhanced user experience for the same is quite a task at hand. For this matter, there are numerous approaches adopted by developers and enterprises to design better application and its interface to transform the entire user experience.

User interface is the gateway of users to your application, a rather common point of…

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Added by Smith Johnson on November 7, 2019 at 1:00am — No Comments

Making Sense of the Wild World of Hadoop PART II: Clustering

In my last blog I introduced us to Hadoop, which allows companies to process, store and analyze Petabytes, Exabytes and even Yottabytes worth of data. And not just the kind of data you’d find on a spreadsheet--Hadoop can handle a wide…

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Added by Michael Burke on November 6, 2019 at 4:00pm — No Comments

How to Create a Successful Data Strategy

With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterprise's mission, particularly in the C Suite and at Executive levels. What is a data strategy and how do we create the right data strategy? I would like to dedicate this article to answer these 2 questions.
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Before discussing data strategy, we need to understand what a strategy…
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Added by Stephanie Shen on November 6, 2019 at 1:30pm — No Comments

Resampling Methods: Bootstrap vs jackknife

Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. It's used when:

  • You don't know the underlying distribution for the population,
  • Traditional formulas are difficult or impossible to apply,
  • As a substitute for traditional methods.

Two popular tools…

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Added by Stephanie Glen on November 6, 2019 at 9:00am — No Comments

AIOT Summit - Personal Invitation

Dear colleague,

I would like to personally invite you to attend a unique and interesting conference: AIoT Dev Summit which I believe is an exciting step forward in Data Science and the application within AI/ML and IoT.  The summit will take place in California on December 2nd and 3rd and as my guest you will receive a $250 discount when combined with the early bird special if you…

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Added by Vincent Granville on November 6, 2019 at 7:30am — No Comments

Tool induced arbitrage opportunities, also, how to cut cakes.

How should an estimator be chosen?  The academic training of economists and finance professionals has traditionally favored the minimum variance unbiased estimator (MVUE).  Sometimes, the maximum likelihood estimator (MLE) is chosen.  From time to time, the method of moments (MOM) or the generalized method of moments (GMM) is used.  Because of its subjective nature, Bayesian methods are rarely used.

 

The problem with this hierarchy is that it is preference-based and ignores…

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Added by David Harris on November 5, 2019 at 8:30pm — No Comments

Working with Control Breaks Data in R.

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Added by steve miller on November 4, 2019 at 9:04am — No Comments

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