Data Science is often brought to companies as a potential game changer. An investment that may pay off if the company's data can be leveraged to provide insight and gain a competitive edge. But bringing analytical offerings to organizations as a "maybe solution" to their pain points misses the mark. Data science is today's answer to our most pressing enterprise and socially innovative challenges given the data-driven nature of our markets and society as a whole. If an investment in data…Continue
As humans, we navigate our lives largely by the recognition of patterns. These patterns include the sound of a mother’s voice, the appearance of a dangerous animal or poisonous food, the familiarity of kin, and the attraction to potential mates. Accurate pattern recognition is key to an animal’s survival and progress, and has allowed humans to become the socially complex and advanced species we are today.
It should come as no surprise that…Continue
Added by Sean McClure on September 29, 2014 at 9:01am — No Comments
This blog is extrapolated from DataScience Hacks by the author himself.
Apache Spark, another apache licensed top-level project that could perform large scale data processing way faster than Hadoop (I am referring to MR1.0 here). It is possible due to Resilient Distributed Datasets concept that is behind this fast data processing. RDD is basically a collection of objects,…Continue
The idea of environmental determinism once made a lot of sense. Hostile climates and habitats prevented the expansion of human populations. The conceptual opposite of determinism is called possibilism. These days, human populations can found living in many inhospitable habitats. This isn't because humans have physically evolved. But rather, we normally occupy built-environments. We exist through our technologies and advanced forms of social interaction: a person might not be able to build a…Continue
This blog discusses the applications of Monte-Carlo simulation methods by modeling real-world situations, explaining those using well known and often researched statistical distributions such as the Poisson distribution and then applying optimization models to solve a variety of business problems thus enabling managers to take decisions by moving beyond the usual methods and what-if scenario analysis.
Added by Debleena Roy on September 5, 2014 at 5:00pm — No Comments
D3.js is an awesome library for visualization. However, it requires a developer to perform the magic. So far, it has not been so popular with traditional data analysts.
At vida.io, we set out to bring D3.js to less technically savvy users. We want to enable them to create amazing data visualizations with D3.js. Our approach is template.
What is a D3.js Template?
It’s a D3.js visualization that you can reuse by just plugging in new data. For example, one of our…Continue
Businesses have always faced security threats, whether is someone breaking in to steal some cash or equipment, a disgruntled employee selling company secrets, or something else altogether, there has always been cause to be careful as a business owner.
However, with the evolution of technology, and the digital age coming into full swing, security threats have evolved as well, and…Continue
Added by Beau Winchester on August 25, 2014 at 11:51am — No Comments
Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the enterprise. What’s holding them back?
In an earlier posting we argued that much of what is holding companies back from…Continue
There really is no set amount of data that prompts the need for data warehousing. Some may become overwhelmed by the volume of data their company is producing, while other may become overwhelmed by the amount of data sources they need to integrate. To decide if you’re close to needing a warehouse, you can start by first gathering together your different data sources.
What really indicates you need some form of streamlined solution is when you must pull from these multiple…Continue
Added by Keith Cawley on August 5, 2014 at 11:23am — No Comments
I have been reading and collecting data science resources for years (back in the days when BI / BA was all the rage). While there are lots of resources on the net, not all are great and some are even misleading.
Now, I have updated my collection and placed them into a neat Trello list, open to all.
Of course it features some of the great and interesting articles from data science central:…
Foreign exchange market is world's largest and least regulated financial market. Its estimated daily turnover is $5.35 trillion, according to the Bank for International Settlements’ triennial survey of 2013. Speculative trading dominates commercial transactions in the forex market, as the constant fluctuation of currency rates makes it an ideal venue for institutional players with deep pockets – such as large banks and hedge funds – to generate profits through speculative currency…Continue
Added by ganeshbabu on July 20, 2014 at 8:03pm — No Comments
What do Target and the NSA have in common?
They both used Big Data and analytics in a way that inspired a major slap on the hand. Target was predicting which of their customers were pregnant and sending them targeted coupons for baby products, which prompted the ire of a father whose teenage daughter hadn’t told him yet. The NSA incurred the wrath of world leaders, the US Congress, and even a good portion of the American public when the…Continue
Added by Randal Scott King on July 20, 2014 at 3:53pm — No Comments
How to handle large dataset with D3.js?Continue
Added by Phuoc Do on July 7, 2014 at 9:01am — No Comments
Somebody once mentioned to me that there is a need for a standard method of performance evaluation that can be applied to all employees regardless of their exact duties: e.g. to compare a janitor to an accountant. In my jurisdiction, there is a regulatory requirement for "equal pay for work of equal value" that can affect companies with government contracts. I consider the concept of "equal value" complicated due to its subjective nature. Certainly two people handling exactly the same work…Continue
Added by Don Philip Faithful on July 5, 2014 at 7:31am — No Comments
Added by derick.jose on June 17, 2014 at 2:00am — No Comments
You’ve gathered up customer data which is more valuable than gold, but now what? Whether you paid for big data, got it for free or conducted your own surveys to drum it up, that’s only the…Continue
Added by Larry Alton on May 30, 2014 at 8:52am — No Comments
You like working with data. You’ve completed a few data science courses and enjoyed them. Now what?
I second Don VanDemark’s enthusiasm for course sequences, specialization tracks, and certification offerings. Whether through traditional brick-and-mortar schools, on-line offerings, or bootcamps, the carefully-planned curricula and (depending on the program) personal…Continue
Added by L George, Ph.D. on May 22, 2014 at 4:24pm — No Comments
Over four months ago I, with two partners, began crafting a handbook to inform students and young professionals about the data science industry. We interviewed over 30 data scientists, data analysts, CEOs, and academic professionals from the Chief Economist at Google to the founder of Cloudera. …Continue
Added by Brian Liou on May 22, 2014 at 8:26am — No Comments
Pasha Roberts, Chief Scientist
Greta Roberts, CEO
Digging into a cross-industry study of analytics professionals, we identify four distinct patterns of how these workers spend their week: (1)…Continue