The gaming industry is on its rise nowadays. With more than 2 billion players all over the world gaming industry is a resource of enormous revenues and… Continue
Added by Igor Bobriakov on March 31, 2019 at 10:00pm —
Real estate is changing. Not only are investors and technology companies such as Zillow expecting the market to favor buyers in 2020, new innovations are going to drive forward a changing landscape in 2019.
In the U.S., analysts are predicting that the value of consumer homes will rise for one more year, up to 5.9%, until the market… Continue
Added by Dariya Lopukhina on March 20, 2019 at 4:00am —
We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analysis can change entire company trajectories. But to make the quintillions of data created each day truly useful, as well as all that has come before, it must be understandable to an artificial intelligence (AI) system.
Dealing with numbers is one thing, but human language is… Continue
Added by Rosaria Silipo on March 18, 2019 at 7:41am —
I propose a new word for data science for sparking new thinking. Signuology is defined as the study of sets of characteristic predictive signals contained within data in the form of combined features of the data that are characteristic of an observation of interest within the data.
The terms data mining and data structure imply rigid and discrete characteristics. A signal has more flexibility, borrowing from ideas contained in the superposition principle in physics. One can take the… Continue
Added by Steve Bowling on March 15, 2019 at 6:11am —
Background: Civis began a data technology partnership with McDonald’s North America Marketing and Data Science teams in late 2017, and — after a year and a half of keeping our heads down — we jointly presented some of our key learnings recently at Advertising Week in New York.…
Added by Civis Analytics on March 6, 2019 at 8:00am —
Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then is streamlined, and stored in a data warehouse. These vast amounts of data can help generate significant business values.…
Added by Amit Dua on March 3, 2019 at 8:30pm —
Web scraping or crawling is the process of extracting data from any website. The data does not necessarily have to be in the form of text, it could be images, tables, audio or video. It requires downloading and parsing the HTML code in order to scrape the data that you require.
Since data is growing at… Continue
Added by Hiren patel on February 24, 2019 at 9:30pm —
What makes a great CEO?
First of all, the answer to that question depends on who raises it: An investor will likely come up with a different answer than an employee. What if you asked a CEO? He might give you his definition. Ask another CEO, and he will likely give you a slightly or even completely different view on this subject.
Ask five people, and you will get five answers
It seems nearly impossible to find an… Continue
Added by Rafael Knuth on February 21, 2019 at 5:00am —
According to technology experts that would have increased from 130 to 40000 exabytes ten and a half years before 2020. Some research writers have estimated that society will produce 1.7 megabytes of data every day for each individual on the planet increasing today's digital universe from 4.4 to 44 zettabytes
A lot of institutions and organisations… Continue
Added by Debra White on February 20, 2019 at 1:00am —
Visualization has become a key application of data science in the telecommunications industry.
Specifically, telecommunication analysis is highly dependent on the use of geospatial data. This is because telecommunication networks in themselves are geographically dispersed, and analysis of such dispersions can yield valuable insights regarding network structures, consumer demand and availability.
To illustrate this point, a k-means clustering algorithm is used…
Added by Michael Grogan on February 19, 2019 at 3:44am —
Data science is among the one of the most discussed term in last few years. Digital industry is hugely dependent on exchange of data. But most of us just know about basic terminology about data science like it just about studying data and finding out some important information from them. But it is more than that.
So, what exactly those data… Continue
Added by Samual Alister on February 11, 2019 at 10:08pm —
The key to perform any text mining operation, such as topic detection or sentiment analysis, is to transform words into numbers, sequences of words into sequences of numbers. Once we have numbers, we are back in the well-known game of data analytics, where machine learning algorithms can help us with classifying and clustering.
We will focus here exactly on that part of the analysis that transforms words… Continue
Added by Rosaria Silipo on February 11, 2019 at 3:09pm —
Summary: A major pain point is standing in the way of many companies’ ability to maximize the value of their ML/AI initiatives. The competing goals of data flexibility versus single version of the truth can only be solved with an effective data governance strategy.
There are many reasons why companies… Continue
Added by William Vorhies on February 11, 2019 at 10:15am —
Trends to Watch Out For and Prepare Yourself
Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in store for us. Everywhere you look, we have new fads and concepts for the new year. This article is going to be rather different. We are going to highlight the dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of… Continue
Added by Divya Singh on February 10, 2019 at 10:30pm —
“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner
Big data is the new oil and there’s no denying to this fact. In certain ways the analogy fits, it is easy to draw attention about how information (data) is used to power much of the transformative technology that we see today such as predictive analysis, automation and artificial intelligence etc.
As technology move… Continue
Added by Aileen Scott on February 10, 2019 at 6:30pm —
Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications. Here are five strategies for getting around the data problem including the latest in One Shot Learning.
For at least the last two years we’ve been in an… Continue
Added by William Vorhies on January 28, 2019 at 9:56am —
New home construction plays a significant role in housing economy, while simultaneously impacting other sectors such as timber, furniture and home appliances. New house sales is also an important indicator of country’s overall economic health and direction. In the last 50 years there has been few significant bumps and turning points in this sector that shaped the trajectory of the overall economy. Here I review the… Continue
Added by Mab Alam on January 25, 2019 at 8:15pm —
Microsoft ASP .NET is an open source, very famous, and widely used web advancement technology, which gives a programming model, a complete programming framework and different administrations required to develop strong web applications for PC, and also cell phones. ASP .NET is a piece of Microsoft’s Dot (.) Net technology… Continue
Added by Samual Alister on January 9, 2019 at 1:30am —
The Ultimate R Cheat Sheet simply put makes it easy to learn R. The Ultimate R Cheat Sheet saves you time by providing hyperlinks to the documentation and package-level cheat sheets for the most important packages in R. The latest update doubles its ultimateness by providing a second page that includes Special Topics:
Added by Matt Dancho on January 7, 2019 at 3:00am —
Measuring the similarity between texts is a common task in many applications. It is useful in classic NLP fields like search, as well as in such far from NLP areas as medicine and genetics. There are many different approaches of how to compare two texts (strings of characters). Each has its own advantages and disadvantages and is good only… Continue
Added by Igor Bobriakov on January 4, 2019 at 12:30am —