Big Data News 23 Apr 2015

Big Data News Highlights:

The Third Phase of Big Data

Re/code
The demand for higher-capacity, higher-performing systems is driving us toward the third phase of the Big Data revolution. In the first phase, we saw …

Big Data Looms as Next Battle in Europe

Wall Street Journal
“I think big data is the next big topic” in the European Union for U.S. technology companies, said Alec Burnside, an antitrust lawyer with Cadwalader, …

How Big Data Is Changing Healthcare

Forbes
If you want to find out how Big Data is helping to make the world a better place, there’s no better example than the uses being found for it in healthcare.

To Benefit From Big Data, Resist The Three False Promises

Forbes
Big data solution providers make big promises. Just plug your data into our solution, they say, and we’ll deliver a stream of insights that allow you to …

Surge in real-time big data and IoT analytics is changing corporate thinking

TechRepublic
Big data that can be immediately actionable in business decisions is transforming corporate thinking. One expert cautions that a mindset change is …

How Large Companies Are Building Big Data Teams, And How Startups Can, Too

Forbes
Big data is big business, but it can be hard for startups to understand how they can get in the game. Fortunately, the same tactics that Fortune 500 …

From Big Data to Big Bets on Food Science

Wired
Modern data science started at places like Google, Amazon, LinkedIn, and Facebook. Yes, mathematicians have practiced statistical analysis since …

Twitter and Big Data Could Predict Emergency Room Rush Hours

Newsweek
Research that will be published in the IEEE Journal of Biomedical and Health Informatics combines Twitter posts and air quality and hospital data to …

2 Big Data Companies to Invest in Now

Motley Fool
According to IDC, Big Data and the analytical tools used to generate actionable results will become a $125 billion industry this year. As impressive an …

How Big Data Is Changing The CFO Role

Forbes
Over the next decade, big data is going to be a game-changer and a truly disruptive force across the globe, and Syncsort is poised to continue its role …

BLOGS

Big Data and cloud projects can go horribly wrong. Don’t let

… before coming to completion than they are to go smoothly. But when it comes to cloud and Big Data projects, the failure rate is disturbingly high.
WEB

Teradata Data Warehouse Appliance 2800 Targets Big Data Analytics Tasks

Tom’s IT Pro
Teradata has announced the new Teradata Data Warehouse Appliance 2800. Developed in partnership with hardware maker Dot Hill Systems Corp.

Will EMC Surprise Q1 Earnings Backed by Big Data Business?

Yahoo Finance
We expect EMC’s Big Data business to drive first-quarter results as it is a fast-growing segment. According to IDC’s research, the Big Data and services …
Why Your Business Needs a Big Data Strategy

Dataversity
David A. Kelly of Teradata recently wrote in Forbes, “Whether you fully believe the hype or not, big data will continue to have a fundamental impact on …
How big data is changing the CFO role

Thoughts on Cloud
Big data has impacted the salaries of traditional accounting and finance professionals; they remained stagnant or declined.
Princeton consortium formed to visualize Big Data

Princeton University
With that in mind, Princeton University has formed a consortium that will share efforts to turn mountains of scientific data into eye-friendly computer …
How can East Asia make the most of big data?

Agenda – World Economic Forum
While many CRE professionals have embraced big data, there is still a disparity between aspiration and reality. According to a new Forrester …

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Data Science News 17 April 2015

Data Science News Highlights:

The data science ecosystem, part 3: Data applications

Computerworld
Remember that quote I started part two with? About data scientists wanting better tools for wrangling so they could work on the “sexy stuff”? Well, after …

Cybersecurity, data science and machine learning: Is all data equal?

Computerworld
Positive data, i.e. malicious network traffic data from malware and cyberattacks, have much more value than some other data science problems.

7 guerrilla tactics for retaining data scientists

TechRepublic
The ABCs of retention won’t cut it for data scientists, which is why you must use creative tactics. Try these out-of-the-box retention strategies.

JHU Researchers to Launch New Coursera Specialization Focused on Genomic Data Science

GenomeWeb
The newly-minted Genomic Data Science specialization features six non-credit courses that provide a coherent introduction to some common tools of …

Top Online Engineering School Responds to Industry Appetite for Data Science, Energy, and …

PR Newswire (press release)
The new Data Science certificate includes three courses in big data analysis, machine learning, and principles of database systems, with substitutions …

State Street, Berkeley and Stanford form data science consortium..

Finextra (press release)
“We are excited to be working with leading data scientists to tackle the immensely complex data challenges that face our clients and the institutional …

Genomic Data Science Course Invades MOOC Platform

International Business Times AU
A genomic data science course designed by John Hopkins University would soon hit massive online open course platform Coursera.org, a Forbes …

How Disruptive Are MOOCs? Hopkins Genomics MOOC Launches In June

Forbes
Of course the content today is different, particularly in the sciences–no one even knew what DNA was 200 years ago–but the way we teach has barely …

TOM STILL: Data science is learning as it grows

Kenosha News
Data science is a fancy term for statistics. It’s the extraction of knowledge from data, which can be derived from multiple digital sources and turned into …

NCDS Takes Action on Big Data

insideHPC
Big data is such a hot topic it has finally outgrown the descriptor ‘big’. From scientific journals to the popular press, so much has been said about big …

BLOGS
NASA’s Space Apps Challenge Tries to Coax More Women to Data Science

Xconomy
NASA officials visited New York in the fall to pick up some ideas on how women in the data science and tech community were doing and how to make …

WEB

the Dutch Data Science Summit

Technische Universiteit Eindhoven
the Dutch Data Science Summit. On December 1st 2015, another Dutch Data Science Summit will take place at TU/e. First confirmed speakers are …

Tackling big data: How Europe is trying to bridge the data science skills gap

Guest contributor Jonathan Keane takes a look at this space and how the European Data Science Academy wants to bridge the big data skills gap.

Three Reasons Data Scientists Might Prevent The Next Market Collapse

Attunity
Data science might be our best hope for better predicting and averting market panics like we saw in late 2008.

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Top 5 Data Science Courses at Udemy for Beginners

“Data Science is the sexiest job of the 21st century” is something that you heard many people said nowadays. A data scientist is a job title for an employee who excels at analyzing data, particularly large amounts of data (also called Big Data), to help a business gain a competitive edge. Normally, data scientist possesses a combination of analytic, machine learning, data mining and statistical skills as well as experience with algorithms and coding. Below are some recommendation of courses which you can take to kick start your career as data scientist. The suggested online courses are recommended for beginners and have received good ratings and also great feedbacks from many of their participants. It is offered by Udemy, the world’s online learning marketplace, where 6 million+ students are taking courses in everything from programming to yoga to photography–and much more. The courses is taught by an expert instructor, and is available on-demand, so students can learn at their own pace, on their own time, and on any device.

1. Want to be a Data Scientist?

Learn what Data Science is all about, if you are a good fit for that domain and how to become one.

Over 18 lectures and 3 hours of content.
Appreciate what Data Science is all about.
Understand how a typical data science project gets done.
Decide if this job is a right fit for you.
Learn the skills required to be a data scientist and how to acquire them.

2. Applied Data Science with Python

Learn how to execute an end-to-end data science project and deliver business results.

Over 43 lectures and 8.5 hours of content!
Appreciate what Data Science really is
Understand the Data Science Life Cycle
Learn to use Python for executing Data Science Projects
Master the application of Analytics and Machine Learning techniques

3. Applied Data Science with R

Learn how to execute an end-to-end data science project and deliver business result.

Over 54 lectures and 11 hours of content!
Appreciate what Data Science really is
Understand the Data Science Life Cycle
Learn to use R for executing Data Science Projects
Master the application of Analytics and Machine Learning techniques
Gain insight into how Data Science works through end-to-end use cases.

4. Learn Hadoop, MapReduce and BigData from Scratch

A Complete Guide to Learn and Master the Popular Big Data Technology.

Over 74 lectures and 15.5 hours of content!
Become literate in Big Data terminology and Hadoop.
Understand the Distributed File Systems architecture and any implementation such as Hadoop Distributed File System or Google File System
Use the HDFS shell
Use the Cloudera, Hortonworks and Apache Bigtop virtual machines for Hadoop code development and testing
Configure, execute and monitor a Hadoop Job

5. Become a Certified Hadoop Developer | Training | Tutorial

Learn Hadoop from an expert, get certified & bag one of the highest paying IT jobs in current times.

Over 49 lectures and 5 hours of content!
Code of all the programs discussed.
Builds strong MapReduce and Hadoop fundamentals.
200+ highly relevant questions to prepare for certification exams like Cloudera and Hortonworks.
Massive Q&A repository.

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Top 10 Data Mining Algorithm Resources 2013

Below are Top 10 search results based on keyword “Algorithms” using our customized data mining search engine powered by Google CSE:

The Two Most Important Algorithms in Predictive Modeling Today …
strataconf.com/strata2012/public/schedule/detail/22658

@Kaggle
Wouldn’t it be great if there were just use two algorithms which could handle most of your predictive modeling needs? It turns out that actually this is the case.
Why More Data and Simple Algorithms Beat Complex Analytics …
data-informed.com/why-more-data-and-simple-algorithms-beat-complex- analytics-models/

Aug 7, 2013 … More data and simple algorithms are better than complex analytics models because having more data allows the “data to speak for itself,” …
On Algorithm Wars and Predictive Apps – Datanami
www.datanami.com/…/on_algorithm_wars_and_predictive_apps.html

May 15, 2013 … Predictive apps are going to be one the next major disruptions in technology as enterprises begin to take advantage of the combined power of …
rxDTree(): a new type of tree algorithm for big data
blog.revolutionanalytics.com/…/rxdtree-a-new-type-of-tree-algorithm.html
Jul 11, 2013 … by Joseph Rickert The rxDTree() function included in the RevoScaleR package distributed with Revolution R Enterprise is an an example of a …
Data Mining with an Ant Colony Optimization Algorithm – SCI2S
sci2s.ugr.es/keel/pdf/algorithm/articulo/Ant-IEEE-TEC.pdf
File Format: PDF/Adobe Acrobat
Abstract – This work proposes an algorithm for data mining called Ant-Miner (Ant … with CN2, a well-known data mining algorithm for classification, in six public …
Big Graph Mining: Algorithms and Discoveries
www.kdd.org/sites/default/files/issues/14-2…/V14-02-04-Kang.pdf

File Format: PDF/Adobe Acrobat
primitive that Pegasus uses for its algorithms to analyze structures of large … tributed algorithm, and it handles all the details of data dis- tribution, replication …
StreamKM++: A Clustering Algorithm for Data Streams∗
https://www.siam.org/proceedings/…/alx10_016_ackermannm.pdf
File Format: PDF/Adobe Acrobat
We develop a new k-means clustering algorithm for data streams, which we … the problem on the sample using the k-means++ algorithm. [1]. To compute the …
A Good Business Objective Beats a Good Algorithm « Predictive …
www.predictiveanalyticsworld.com/…/a-good-business-objective-beats-a- good-algorithm/
Nov 5, 2013 … Predictive Modeling competitions, once the arena for a few data mining conferences, has now become big business. Kaggle (kaggle.com) is …
A novel evolutionary data mining algorithm with applications to …
sci2s.ugr.es/keel/pdf/algorithm/articulo/DMEL.pdf

File Format: PDF/Adobe Acrobat
Many algorithms have been developed to mine large data sets for classification models … propose a new algorithm, called data mining by evolutionary learning …
Random Forests Algorithm – Data Science Central
www.datasciencecentral.com/xn/…/6448529%3ABlogPost%3A106993

Sep 24, 2013 … One of the most popular methods or frameworks used by data scientists at the Rose Data Science Professional Practice Group is Random …

For More Information about Data Minining click here

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