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July 2016 Blog Posts (73)

Is AI a dude or a dudette?

The gender of artificial intelligence

By Tyler Schnoebelen,

 

There’s Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa, and Nuance’s Nina. Sure, Facebook has “M”, Google has “Google Now”, and Siri’s voice isn’t always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women’s names to the things you issue commands to. Is artificial…

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Added by Leena Kamath on July 14, 2016 at 9:21am — 1 Comment

7 Great Articles

From around the web, or freshly posted and featured on Data Science Central.

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Added by Vincent Granville on July 14, 2016 at 8:30am — No Comments

Weekly Digest, July 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. 

Announcement

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Added by Vincent Granville on July 13, 2016 at 12:30pm — No Comments

Exclusive Material for our DSC Members

This is one of the many benefits of being a DSC member. As a member, you have full access to the following documents:

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Added by Vincent Granville on July 13, 2016 at 8:29am — No Comments

Are CEO's Missing out on Big Data's Big Picture?



Big data allows marketing and production strategists to see where their efforts are succeeding and where they need some work. With big data analytics, every move you make for your company can be backed by data and analytics. While every business venture involves some level of risk, with big data, that risk gets infinitesimally small, thanks…

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Added by Ronald van Loon on July 13, 2016 at 7:30am — No Comments

Would You Survive the Titanic? A Guide to Machine Learning in Python

What if machines could learn?  

This has been one of the most intriguing questions in science fiction and philosophy since the advent of machines.  With modern technology such questions are no longer bound to creative conjecture, machine learning is all around us.  From deciding which movie you might want to watch next on Netflix to predicting stock market trends, machine learning has a profound impact on how data is understood in the…

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Added by Surendran B on July 11, 2016 at 10:35pm — 4 Comments

IT and the New Face of Human Resources

It is no secret that the advancements in the field of IT technologies have changed the way our world works, and the job market is no exception. Converging into the digital field is no longer optional, but rather a thing of keeping your head above the surface. Nevertheless, the online world perks are vast, at the very least, and when it comes to recruitment, this very procedure has found itself in process of change, for the employees and employers alike.…

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Added by Marcus Jensen on July 11, 2016 at 9:29pm — No Comments

3 Tips for Getting the Most Out of Your Data Science Team

Summary:  If you’re responsible for a Data Science team of more than three or four it’s time to start thinking about productivity and efficiency.

 

Efficiency is not something we often think about in managing our data science teams but increasingly we should.  Supposing you are a data scientist who is now asked to lead your group, or even…

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Added by William Vorhies on July 11, 2016 at 9:08am — 1 Comment

Big Data Insights: Tale of IT Investments and Returns

Once again, this post brings forth to the audience, a predictive analytical insight from huge volumes of information technology data belonging to two fortune 500 companies (more or less having similar characteristics). Going to a quick background of the study, here, analytical interest was to know how both organizations understood and invested in their IT Security over a period of time and what was their ROI (Return on Investment)?



With respect to my earlier…

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Added by Pradeep Mavuluri on July 11, 2016 at 5:49am — 1 Comment

Feature Engineering: Data scientist's Secret Sauce !

originally posted by the author on Linkedin : Link

It is very tempting for  data science practitioners to opt for the best known  algorithms for a given problem.However It’s not the algorithm alone , which can provide…

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Added by Ashish kumar on July 10, 2016 at 7:30am — 5 Comments

Scraping 101

Finding the quality of a tennis player by calibrating and analyzing the aces notched up by tennis players or predicting the next Pele or Cristiano Ronaldo after training the machine with the goals scored by the football players – and many such problem statements  if truly answered would receive acclaim world over. All these problem statements have one thing in…

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Added by Chaitanya Bapat on July 10, 2016 at 5:00am — No Comments

The Role of Big Data in Emergency Services

Putting the word “big” in front of something can carry a number of really negative connotations — Big Pharma, Big Tobacco, Big Oil, etc. It implies there is this great construct that controls all of these facets leaving…

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Added by Kayla Matthews on July 8, 2016 at 6:00am — No Comments

What will the Future of Data Analytics Look Like?

The era of big data has witnessed a paradigm shift into analytics. Today, it’s no longer sufficient to simply gather data from social media, IoT, and wearable devices, and be unable to manage or filter it. It is more about delivering the right data to the right person, at the right time.

This trend is growing crucial as data is multiplying every day and pouring in from various devices and smart machines including wearables, electronic gadgets, and other devices. Such factors call for…

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Added by Ankit Jain on July 8, 2016 at 5:25am — 3 Comments

Distributed Machine Learning with Apache Mahout

This article introduces Mahout, a library for scalable machine learning, and studies potential applications through two Mahout projects. It was written by Linda Terlouw. Linda is a computer scientist who works on Data Science (Data Analysis, Data Visualization, Process Mining).

Apache…

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Added by Emmanuelle Rieuf on July 8, 2016 at 4:47am — No Comments

Weekly Digest, July 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. 

Announcement

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Added by Vincent Granville on July 7, 2016 at 2:30pm — No Comments

Linear Regression in Tensorflow

Tensorflow is an open source machine learning (ML) library from Google. It has particularly became popular because of the support for Deep Learning. Apart from that it's highly scalable and can run on Android. The documentation is well maintained and several tutorials available for different expertise levels. To learn more about downloading and installing Tesnorflow, visit official website.

To scratch the surface of this incredible ML library,…

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Added by Aqib Saeed on July 7, 2016 at 12:00pm — No Comments

8 Deep Data Science Articles

Deep data science is a branch of data science that has little if any overlap with closely related fields such as machine learning, computer science, operations research, mathematics, or statistics. Even classical machine learning and statistical techniques such as clustering, density estimation,  or tests of hypotheses, have model-free, data-driven, robust versions designed for automated processing (as in machine-to-machine communications), and thus these techniques also belong…

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Added by Vincent Granville on July 7, 2016 at 9:30am — No Comments

How to write good tests in R

Testing is an often overlooked yet critical component of any software system. In some ways this is more true of models than traditional software. The reason is that computational systems must function correctly at both the system level and the model level. This article provides some guidelines and tips to increase the certainty around the correctness of your models.



Guiding Principles

One of my mantras is that a good tool extends our ability and never gets in…

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Added by Brian Rowe on July 7, 2016 at 4:30am — No Comments

How to Use Data Science to create Personalized Email Campaigns

Data has been preserved in various formats for a long time. After the boom of computers and electronic, most of the data storage migrated to the digital domain. And in the contemporary world data is preferred to be stored online.

With millions of people daily adding to the already , data runs in humongous numbers and is humbly termed as . The source of this data may vary and need not necessarily deal with online…

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Added by Joydeep Bhattacharya on July 6, 2016 at 11:00pm — No Comments

Exceptional Role of SMEs in Global Hadoop-as-a-service Market Driving Growth

Hadoop is a leading platform for big data analytics and enterprises have been using Hadoop-based applications to perform a host of operations, including the management, evaluation, and storage of massive amounts of data. Ensuring optimal consumption of time, Hadoop-as-a-service enables companies to function in an extremely cost-effective manner.

The report reviews the global…

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Added by Ankit Jain on July 6, 2016 at 4:39am — No Comments

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