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November 2019 Blog Posts (97)

Fun with maps: Part 1

I love maps. It’s not just a nerdy thing. Map are very helpful visualization tools for a lot of questions from business. Of course, there are number of standard BI tools which can produce maps as well, like Tableau. My experience is that the coded ones offer more customization options. Especially when it comes to destinations/cities/villages, which are not big (or well-known) or when the data is not "very" clean (e.g. same city written in a different way), if you have to preprocess data at…

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Added by Dr. Katharina Glass on November 19, 2019 at 4:30am — No Comments

Kaggle's Rachel Tatman on what to do when applying deep learning is overkill

Deep Learning an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It is regarded as a game-changer in AI, with distinct progress in computer vision, natural language processing (NLP), speech and other areas of machine learning. This year an Indeed survey found ‘deep learning engineer’ to be the best job in tech positions in the USA.

Though deep learning has many benefits and a very…

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Added by Packt Publishing on November 18, 2019 at 8:30pm — No Comments

Blog: Descriptive Versus Predictive Analytics

Generally speaking descriptive analytics is the process of making some sense or adding some structure to a data set, which at times can be very large. For this reason, most discussions referring to “analytics” in business are actually talking about descriptive analytics (Bertolucci, 2013). The most obvious example is when we run descriptive statistics at the beginning of a study, and look at things like the range, mean, median, quartiles, skew and kurtosis.…

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Added by John Burke on November 18, 2019 at 5:01pm — No Comments

Why including effect size and knowing your statistical power are important

I’m unsure if it is a common misconception, but I know I used to believe that the only thing needed to present findings from statistical analysis was a P-value less than the chosen alpha; that if there was evidence to reject the null hypothesis it could be concluded that a meaningful discovery had been made. What I learned during the Mod 3 project is that statistical significance is not indicative of a substantive significance in what is being measured or compared. In order to determine the…

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Added by Zach Zazueta on November 18, 2019 at 3:37pm — No Comments

Gartner and Forrester Begin to Weigh in on Automated Machine Learning (AML)

Summary:  AML has been around since at least 2016 but only in the last year have Gartner and Forrester begun to offer their opinions.  Here’s where we stand.

 

This has been a big year for AML (automated machine learning).  A number of new players have emerged and pretty much everyone acknowledges that some…

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Added by William Vorhies on November 18, 2019 at 12:00pm — No Comments

Introduction to Markov Chains

This article was written by Devin Soni.  

 

Markov chains are a fairly common, and relatively simple, way to statistically model random processes. They have been used in many different domains, ranging from text generation to financial modeling. A popular example is r/SubredditSimulator, which uses Markov chains to automate the creation of content for an entire subreddit. Overall, Markov Chains are conceptually quite intuitive,…

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Added by Andrea Manero-Bastin on November 18, 2019 at 5:00am — 1 Comment

Weekly Digest, November 18

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.  

Announcement…

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Added by Vincent Granville on November 17, 2019 at 10:30am — No Comments

Why Artificial Intelligence Research is Still Relevant

As a college student, you will often be required to submit a written research paper in whatever field. For such a paper, you will have to analyze different data and come up with a hypothesis. This is where artificial intelligence comes into play. It helps you analyze data and make predictions based on your findings.…

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Added by Redgan Clay on November 16, 2019 at 10:52am — No Comments

Machine Learning and AI in Manufacturing

How is AI Used in Manufacturing Industry Now?

 

Manufacturing is one of the main industries that use Artificial Intelligence and Machine Learning technologies to its fullest potential. Smart Factories, also known as Smart Factories 4.0 have major cuts in unexpected…

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Added by Roman Chuprina on November 15, 2019 at 4:30am — No Comments

Dynamics 365 vs. SAP Business One: All You Need to Know

Enterprise Resource Planning (ERP), which is a buzzword these days, derives its name from its predecessor, Manufacturing Resource Planning (MRP II) and is now helping to transform our industrial landscape.

ERP now is an enterprise-wide set of management tools that balances demand and supply.…

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Added by Samual Alister on November 15, 2019 at 2:30am — No Comments

The Journey of Machine Learning Through Banking & Insurance Industry

When we take into account the insurance and banking industry, data plays a central role in it. Insurance is a people-centric business. A business that heavily relies on an individual’s data to the maximum extent possible. And the data Insurance providers and carriers have access to more of such data than ever before. The amount of data, we as humans have created in the past two years is simply unprecedented. …

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Added by Albert Smith on November 14, 2019 at 10:52pm — No Comments

Parametric and Non Parametric Bootstrap, Traditional Parametric: Comparison in One Picture

This picture compares two different types of bootstrap (parametric and non-parametric) with their traditional counterpart.

References



Which Bootstrap When?…

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Added by Stephanie Glen on November 14, 2019 at 6:56pm — No Comments

Thursday News, November 14

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

Announcements

Technical Resources…

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Added by Vincent Granville on November 14, 2019 at 11:00am — No Comments

Alternatives to the Gradient Descent Algorithm

Gradient Descent has a problem of getting stuck in Local Minima. The following alternatives are available. The following is a summary of answers suggested on CrossValided, originally posted here. …

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Added by Capri Granville on November 14, 2019 at 10:00am — No Comments

Recessions, Big Data, Data Science and Liberating Power of “Own It”

There, I said it.  I said the “R” word.  And no, I’m not talking the political “R” word.  I’m talking about the potential of a… r-e-c-e-s-s-i-o-n.  There are many indicators pointing to the potential of a worldwide recession, and unfortunately during a recession, many organizations hunker down, cut spending, and try to ride it out – all the wrong things to do if you want to actually avoid a recession.…

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Added by Bill Schmarzo on November 14, 2019 at 6:10am — No Comments

Don't waste time! important facts about Industrial IoT (IIOT)...

Cloud computing infrastructure renders benefits such as scalability, enhanced performance, and pay-as-you-go (PAYG) service to the IIoT market. Additionally, the demand for low-cost data storage, backup, and data protection are monumental challenges for small & medium enterprises (SMEs). Cloud computing also offers self-service provisioning and automatic de-provisioning, application program…

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Added by Kirthy Patel on November 14, 2019 at 1:30am — No Comments

The future of Chatbots

‘’By 2020, it is predicted that 85% of consumer interactions will be handled without a human agent’’

Chatbots in 2019 isn’t all about lessening your burden from repetitive tasks, it plays a huge role in lead generation as well. With the competition…

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Added by Racheal Chapman on November 13, 2019 at 10:44pm — No Comments

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

5 Unparalleled Advantages Offered by IoT to Farming Business:

Agriculture has witnessed different innovations and technological developments in the past 100 years. Unlike, traditional farming methods that relied completely on manual labor, modern agriculture is automated and smart. The use of disruptive technologies like the Internet of Things has made farming more precise, sophisticated, and productive. The advent of IoT in the agriculture sector has enabled the emergence of various new farming practices like precision farming, digital farming, and…

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Added by Sanjeev Verma on November 13, 2019 at 2:30am — 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

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