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Top 9 Data Science Use Cases in Analytics

Data science and analytics are growing in their popularity and range of applications in the modern world. Data science deals with answering questions and uncovering hidden insights, while analytics is rather concentrated on the processing itself and conducting of statistical…

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Added by Igor Bobriakov on December 18, 2019 at 8:00am — No Comments

Bayesian Methods and Networks in classical and quantum physics

I recently came across this wonderful list of classical Bayesian network articles posted by Vincent Granville, here. To cover the quantum bayesian side of things, here is a recent article of mine from my blog "Quantum Bayesian Networks".  …

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Added by Robert R. Tucci on December 17, 2019 at 12:00pm — No Comments

Best Degree for Data Science (in One Picture)

If you ask the question "What's the best degree for Data Science?" you'll get dozens of different answers. The sheer amount of different opinions might leave you wondering which degree is the "best", and there isn't a simple answer.  One person's "best" degree is another person's "worst."

Trying to make sense of all those differing opinions? I've done the hard work for you. This is where statistics is actually very useful (and it's one of the popular choices for…

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Added by Stephanie Glen on December 17, 2019 at 11:31am — 2 Comments

Movies in which our beloved Algorithms show up

For years we have seen artificial intelligence appear in many films and television series, but in recent years is seen in a more remarked, even going further, we talk about Algorithms. Such is the case, that in the last Disney film of the Rompe Ralph series, the character of Yesss appears, representing an Algorithm as we understand it nowadays.

Next, I'll tell you about the films I've seen and there are specific mentions of our world:…

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Added by Noelia Gonzalez Rodriguez on December 16, 2019 at 12:15pm — No Comments

Free Books Data Science & AI

I share a list of recommended free books for Data Science & AI from introductory level to advanced techniques:

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Added by Noelia Gonzalez Rodriguez on December 16, 2019 at 12:00pm — No Comments

With the start of the Santander League: #soccergraphR

With the start of the Liga Santander in Spain, I share a very interesting R library that I share with the community in social networks  @Vdot_Spain for all the analysts and data scientist of the football world.

According to @Vdot_Spain: "soccergraphR v0.1 MVP is the first step in helping analysts, journalists, and clubs understand and manage @OptaJose information with #Rstats. You can install it from…

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Added by Noelia Gonzalez Rodriguez on December 16, 2019 at 12:00pm — No Comments

Is AI About to Hit a Wall?

Summary:  There have been several stories over the last several months around the theme that AI is about to hit a wall.  That the rapid improvements we’ve experienced and the benefits we’ve accrued can’t continue at the current pace.  It’s worth taking a look at these arguments to see if we should be adjusting our plans and expectations.

 …

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Added by William Vorhies on December 16, 2019 at 9:24am — 5 Comments

H2O Framework for Machine Learning

H2O is a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks. The dataset we are using is the Bank Marketing Dataset. Here we need to train a model which will be able to predict if the client of the bank opens…

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Added by Igor Bobriakov on December 16, 2019 at 8:00am — No Comments

5 Ways Big Data Is Impacting Healthcare Providers

The ability of companies to provide great healthcare has always been reliant upon data. Before the widespread adoption of technology, important information came from medical exams, checkups, and direct communication between physicians. …

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Added by Luke Fitzpatrick on December 15, 2019 at 11:30pm — No Comments

The Rise of Fake News. A Machine Learning challenge!

By Faruqui Ismail and Nooka Raju Garimella

Reporters with various forms of "fake news" from an 1894 illustration by Frederick Burr Opper

 

We’ve always pictured the rise of artificial…

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Added by Faruqui Ismail on December 15, 2019 at 10:24pm — No Comments

Weekly Digest, December 16

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.  …

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Added by Vincent Granville on December 15, 2019 at 4:00pm — No Comments

Crossing the AI Chasm with Infographics

AI is a game changer. Period. And being a data and analytics guy, I could not be more excited about it.

The McKinsey research study “Notes from the AI frontier: Applications and value of deep learning” provided some valuable insights into where and how Artificial Intelligence (i.e., Deep Learning / Neural Networks (CNNs, RNNs, GANs), Reinforcement Learning and Deep Reinforcement Learning) will derive and drive new sources of customer, product and…

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Added by Bill Schmarzo on December 15, 2019 at 11:58am — No Comments

AI Robotization with IRIS Data Platform

AI Robotization with IRIS Data Platform

Author: Sergey Lukyanchikov

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial…

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Added by Sergey Lukyanchikov on December 15, 2019 at 8:00am — No Comments

Math for Data Science in One Picture: What do you REALLY need to study?

In my last blog post, I covered the statistics you need to know for data science. But of course, stats isn't the only math related knowledge you need. Rather than offer my own biased opinion about the importance of this subject vs. that one, I performed a meta analysis of popular opinion to see what data scientists and educators are saying (see…

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Added by Stephanie Glen on December 14, 2019 at 7:17am — No Comments

Rule of thumb: Which AI / ML algorithms to apply to business problems

 

How to know which AI/ ML algorithm to apply to which business problem?

This is a common question

I found a good reference for it –…

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Added by ajit jaokar on December 13, 2019 at 10:18am — No Comments

Using "record id's" to facilitate processing in Python-Pandas and R-data.table.

ID card template example

Both R and Python-Pandas are array-oriented platforms that support fast filtering through vectors of record-id's. In Python-Pandas, such vectors are implemented via Pandas's powerful index construct; in R-data.table, they're accessible through the "which" and "row.name" functions. In both instances, joins to record-id vectors generate fast subsetted access.

How is the record-id vector approach helpful? For starters, the analyst can encapsulate common…

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Added by steve miller on December 13, 2019 at 5:51am — No Comments

Sports Telemetry in Real-Time

The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed onboard the car, collected information for only one lap and the data were then downloaded when the car was back in the garage. The explosion of computing capabilities, in the 90s, contributed to the growth of intelligent data usage in the F1 and the…

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Added by Valeria on December 13, 2019 at 1:00am — No Comments

Thursday News, December 12

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

Technical Resources

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Added by Vincent Granville on December 12, 2019 at 12:00pm — No Comments

The Rise of Fake News: A Machine Learning Challenge

Guest blog by Faruqui Ismail and NookaRaju Garimella.

Reporters with various forms of "fake news" from an 1894 illustration by Frederick Burr…

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Added by Vincent Granville on December 12, 2019 at 10:31am — No Comments

2020 Trends, Predictions and Challenges for Data Management and Privacy

As we move into 2020, data management will continue to advance and develop efficiencies that will make the job of having data ready for business purposes faster and more reliable than ever. While the data management space is a diverse field in its practices, there are four trends that will be forefront in 2020:

  • Data Orchestration – The uniting of data integration, API integration, and data movement to support DataOps techniques. This involves combining multiple…
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Added by Todd Wright on December 12, 2019 at 6:00am — No Comments

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