Resume making is very tricky. A candidate has many dilemmas,
- whether to state a project at length or just mention the bare minimum
- whether to mention many skills or just mention his/her core competency skill…
It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below:…
Added by Marco Tavora on May 1, 2019 at 4:52am — No Comments
Resume making is very tricky. A candidate has many dilemmas,
There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transformed, and early adopters with it, while others race to understand how best to adapt or integrate said emerging technologies into their organizations in an effective and seamless…Continue
Added by Jay Nair on November 26, 2018 at 10:38pm — No Comments
With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations…Continue
Added by Ronald van Loon on October 26, 2018 at 3:35am — No Comments
Positive technological advancement is in the technology’s ability to augment human intelligence or performance; it’s what makes cognitive systems relevant – the ability to interpret, analyze, learn, and reason without constant human involvement. And that’s where things get interesting. With the inherent ability…Continue
Added by Jay Nair on September 2, 2018 at 6:30pm — No Comments
Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines the term as a system that adaptively utilizes underlying algorithms or processing with exposure to new data.
Added by Jay Nair on July 10, 2018 at 8:24pm — No Comments
Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, it was a function hard to measure in terms of impact on the bottom-line. But then boomed the digital age, and with it, an advent of channels…Continue
Added by Senthil Nathan R on July 1, 2018 at 11:30pm — No Comments
Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services in SQLServer eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy your R/Python code with SQL stored procedures making them accessible in your…Continue
Data Science and Law are in a lot of ways vastly different; however they do have a few things in common: both professions rely heavily on historical data and patterns . Certain supervening phenomena can cause a break in these patterns; these distinct deviations from a learned practice (either by a machine learning algorithm or through pure human experience) can be problematic.
Those of us in Legal Modelling know that when building and maintaining models we are constantly looking…Continue
If you're a regular visitor to our website you'll know that every month we scour the internet seeking out free eBooks to help you on your educational journey. Well, it has been so popular that we decided to create a regular monthly series here at Data Science Central.
I hope this will prove to be a valuable resource to you that you will visit regularly (and invite your friends too).…
What is an easy way to find that needle in the haystack? Why not use a control chart?Using a control chart on a data set is an efficient way to identify data sets that are out of control. A control chart is a statistical tool that is used to chart data points over time and zeros in on points that are outside of the normal range (outliers). The main components of a control chart…
I spent way too much time sorting through all the information collected on Data Science. All I knew in the beginning is that it had something to do with math and statistics and algorithms (which are love), and computers (which are hate not so much love). It's finally starting to fall into place. I made a preliminary list of all the things I should learn. In the process, I stumbled upon Clare Corthell's "Open Source Data Science Master's…Continue
Added by Elma Bratovic on October 3, 2015 at 9:37pm — No Comments
All analytic professionals, students and academics - Participate in the 2015 Data Science / Data Miner Survey.
Added by Karl Rexer on April 2, 2015 at 9:00am — No Comments
I am finishing up my masters in Predictive Analytics at Northwestern which the curriculum has been my only experience in modeling data. All of my data related professional experience has been within the database layer as well as data visualization which I have a great passion for.
I feel that I am at a vital stage in my career as I want to start down the data science path but the experience required in the field is quite extensive.
I would like to ask for any recommendations…Continue
Added by Joshua Tikal on December 1, 2014 at 3:00pm — No Comments
We return this week for Part II of our blog with astrophysicist and data scientist, Kirk Borne, Ph.D. Formerly a NASA scientist, he’s one of the foremost experts in big data and its applications in business, government and science − from exploration of space to economic growth. Here again he speaks with Anametrix CEO Pelin Thorogood, this time identifying the areas where he thinks business will benefit most from big data.…
Added by Ryan Montano on May 23, 2014 at 6:30am — No Comments
Astrophysicist and data scientist Kirk Borne, Ph.D., was among the first to comprehend the importance of vast increases in data as a NASA scientist for almost two decades and now professor of Astrophysics and Computational Science at George Mason University. He’s among the top “influencers” on matters relating to “big data,” And IBM this year named him a…Continue
Added by Ryan Montano on May 15, 2014 at 11:30am — No Comments
Companies are capturing and digitizing more information than ever before. According to IDC, the world produced one zettabyte (1,000,000,000,000 gigabytes) of data annually. Fueling this data explosion are over five billion mobile phones, 30 billion pieces of content shared on Facebook per month, 20 billion Internet searches per month, and millions of networked sensors connected to mobile phones, energy meters, automobiles, shipping containers, retail packaging and more. Big Data is a…Continue
Added by Stan Mason on January 16, 2012 at 9:30am — No Comments
Of all the ills that impede development around the world, persistent conflict may be the most pernicious and the most widespread. As the World Bank noted in its April 2011 report, insecurity “has become a primary development challenge of our time. One-and-a-half billion people live in areas affected by fragility, conflict, or large-scale, organized criminal violence, and no low-income fragile or conflict-affected country has yet achieved a single United Nations Millennium Development…Continue
Added by Patricia Tenanty on December 5, 2011 at 11:00am — No Comments
EMC Greenplum Modular Data Computing Appliance puts SQL and Hadoop in the same box, but is it a truly cohesive platform?
Added by Vincent Granville on December 2, 2011 at 8:40am — No Comments