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August 2016 Blog Posts (89)

Can Data Science be the CURE of Mankind

Presume we have millions getting hospitalized in seconds and many give up their lives because of ignorance.

Can DATA SCIENCE be used to wade off this IGNORANCE completely?

In the era when we have genome project ongoing I believe having all information's handy being so surplus "coming under the purview of Big Data" can we use data science to help PREDICT who next to be hospitalized well ahead of time rather than waiting for the symptoms to popup and we take some…

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Added by RAJA VARMA PAMBA on August 31, 2016 at 9:00pm — 1 Comment

5 Free Statistics eBooks You Need to Read This Autumn

Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!

 

These books require different levels of existing knowledge, and while some are for…

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Added by Lee Baker on August 31, 2016 at 4:00am — 6 Comments

Usage for data analysis and storage drives NoSQL trends in various industries

NoSQL also know as not only SQL (structured query language) is a tool used for data design and management of large quantity of distributed data. NoSQL database comprise a wide range of architecture and technologies designed to overcome problems of scalability and big data performance problems. NoSQL is very useful when organizations have to deal with large amount of unstructured and semi-structured data or remotely stored data or information on virtual servers. Some NoSQL implementations…

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Added by Dannys on August 31, 2016 at 3:30am — No Comments

Will the glory of Data Science wither away in the years to go?

Well in my perspective i have notion that since earth evolved say for simplicity since man evolved we had data scientist.say with enumerable foods either consumable non consumable around us we have messed up our lives giving up lives and then filtered out what is best for human.With no information of what is good and bad we evolved a methodology to identify which was good for mankind and which was not. isnt GREAT .our ancestors were the best DATA SCIENTIST to help us survive in this…

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Added by RAJA VARMA PAMBA on August 31, 2016 at 2:00am — No Comments

Analyzing International Currency Network with DeDaL

Project of DeDaL was born in 2014 (or long before) in a context of cancer research in the lab of Computational Systems Biology of Cancer in Institut Curie in Paris in the mind of my research advisor Andrei Zinovyev.

The idea was to develop a tool that would combine multidimensional meta data associated with network and network itself in a form of an intelligent layout. We achieved…

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Added by Urszula Czerwinska on August 30, 2016 at 10:30pm — No Comments

Progress in Economics

There's plenty of disagreement about the value of economics research. Skeptics say that economists have predicted eight of the last five recessions, or zero of them. Economists and their fans point to supposed economic achievements such as stable, low inflation and (often) steady growth. In this blog post I'll use simple data science techniques to attempt to measure progress in economics research.

There are many potential ways to measure progress in research. For example,…

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Added by Bradford Tuckfield on August 30, 2016 at 3:05pm — 4 Comments

Fast Forward transformation with SPARK

Fast forward transformation process in data science with Apache Spark

Data Curation :

Curation is a critical process in data science that helps to prepare data for feature extraction to run with machine learning algorithms. Curation generally involves extracting, organising, integrating data from…

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Added by Aravindakumar Venugopalan on August 30, 2016 at 9:30am — No Comments

Essentials of Machine Learning Algorithms (with Python and R Codes)

This article on Machine Learning Algorithms was posted by Sunil Ray from Analytics Vidhya. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry.

Sunil has created this guide to simplify the journey of aspiring data scientists and machine learning enthusiasts across the world. Through this guide, he will enable you to…

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Added by Emmanuelle Rieuf on August 30, 2016 at 9:30am — No Comments

25 Java Machine Learning Tools & Libraries

This article about java machine learning tools & libraries comes from BDAN Big Data Analytics News. BDAN's site consists information on business trends, big data use cases, big data news to help you learn what Big Data is and how it can benefit organizations of all sizes.

Here is a…

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Added by Emmanuelle Rieuf on August 30, 2016 at 9:30am — No Comments

4 Data Security Myths Businesses Commonly Believe

As data experts, it’s sometimes hard for us to realize that – for the vast majority of people – issues related to big data and big data security aren’t all that familiar. That’s why there are so many misconceptions floating around. Unfortunately, these falsities are putting businesses around the world in grave danger.

Squash These Four Myths

The cybersecurity industry is growing at an astounding rate, which means the threats facing businesses are also…

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Added by Larry Alton on August 30, 2016 at 8:30am — No Comments

8 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. The previous digest in this series was posted here two weeks ago. Below is our third edition.

8 Great Blogs Posted in the last 12 Months…

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

Deep Learning Epic Fail – Right Answer - Wrong Reason

Summary:  Got a good AUC on your hold out data?  Think that proves that it’s safe to put the model into production.  This article shows you some of the pitfalls in this new era of black box Deep Learning Neural Nets and a method for identifying potentially devastating errors.

 …

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Added by William Vorhies on August 30, 2016 at 7:00am — 4 Comments

Software development through data science

The different tasks that data scientists may hold are very diverse, but no matter what niche a data scientist fills in their line of work, being specialized in certain technical areas of software development is extremely important. The following skills are some of the most important techniques that a data scientist will need to have in order to perform software development properly.



Statistics knowledge



Before anything else, a data…

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Added by Jennifer Livingston on August 29, 2016 at 8:00pm — No Comments

The Analytics Pyramid of Needs

In this day and age, you can’t go a day without hearing terms such as “data science,” “big data,” or “analytics.” These terms have been thrown around to apply to so many situations that the original meaning of these words is lost.

So, what does it take for any organization to be successfully data-driven? Although analytics may seem complicated, the solution comes from simplicity.

I believe it comes down to four things, as I’ve illustrated below: business need, clean data…

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Added by Divya Parmar on August 29, 2016 at 7:30pm — 1 Comment

Reverse Scraping Ning Tips

With all that has been not going on in the Ning platform sphere, I have been teaching myself the art and science of data scraping.  I posted the following on the Creators site last week.

Megaload of Ning Tips, Tricks and Hacks (over 200+)

First, I went to my…

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Added by JFarrow on August 29, 2016 at 5:30pm — No Comments

What Can Baby Names Tell Us About Our Narcissism Epidemic?

Contributed by Jielei (Emma) Zhu. She takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is based on their first class project - the Exploratory Data Analysis Visualization Project, due on the 2nd week of the program. You can find the original article…

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Added by NYC Data Science Academy on August 28, 2016 at 11:00am — 1 Comment

Weekly Digest, August 29

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 August 26, 2016 at 9:30am — No Comments

Data-Driven UX/UI Design

Ever wondered why people have an affinity towards using certain apps vs others even though other apps provide the same functionality? Or, they are more attracted to certain features in the tab because it’s just easier to use? If not, then as a UX/UI designer it’s time for you to find that out,…

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Added by Siddhi Shroff on August 25, 2016 at 1:00pm — No Comments

Thursday News: R, Python, Machine Learning, IoT, Coding Comics

Here are our most recent featured articles and resources, including three interesting books, as well as tutorials about R Data Frames, and Stats with Google Sheets.

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Added by Vincent Granville on August 25, 2016 at 8:02am — No Comments

Before starting with R Programming: Basic R without any package installed

Open source software solutions have become so powerful and large corporates started to prepare their traditional business analysts to move to open source softwares, particularly R. I have prepared a basic document to train some of my clients and local communities in Dallas. This article is not intended for people who are exposed to R before; but, people who are new and want to learn ABCs of R.

 

Downloading R is rather simple on …

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Added by Meltem Ballan on August 25, 2016 at 7:00am — No Comments

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