In 2018 Fast Company declared the Data Scientist the best job for the third year in a row, which I wholeheartedly agree with (besides the Director of Fun at the York National Railway…Continue
The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever.
Now, insurance companies have a wider range of…Continue
Amazon is every online retailer’s forbidding nightmare. Last year, it dominated 44 percent of the US eCommerce market and about 4 percent of all domestic retail sales. One Click Retail, an eCommerce analysis provider, explains its dominance with the fact that millennials, Amazon’s core demographic, are getting older and starting to spend more. Moreover, advanced marketing capabilities for sellers, developments in Alexa, and pioneering in applications of the hottest technologies make it…Continue
Added by Maryna Ivakhnenko on July 11, 2018 at 11:00pm — No Comments
Will I ever get this digital transformation thing right? The more work I do with clients on their digital transformation initiatives, the more I realize how much I don’t know. For example, first there was the “4 Laws of Digital Transformation”:
Added by Bill Schmarzo on July 11, 2018 at 9:02am — No Comments
Big Data is a big pain. Humans are generating data five times faster than the rate of economic growth. Each day we create 2.5 Exabytes of new data, ninety percent of which is unstructured. That’s roughly half a gigabyte of new data each day per person
Big Data is a big pain. Humans are generating data five times faster than the rate…Continue
Added by imranali on July 11, 2018 at 4:14am — No Comments
As we all know in today’s world of quick results and insights nobody wants to spend time in understanding the core concepts of certain statistical terms while performing analytical routine. One statistical term that is talked a lot but known very less in terms of its mechanics is R Squared statistics a.k.a. coefficient of determination. This statistics helps to measure the closeness of the data to the fitted line of regression.
It is also worth mentioning that by squaring the…Continue
Added by Sunil Kappal on July 11, 2018 at 3:35am — 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.
It wasn’t always a hot trend though. The present dictates otherwise, with much…Continue
Added by Jay Nair on July 10, 2018 at 8:24pm — No Comments
Summary: A defensible data strategy increasingly defines those AI businesses that will be successful. VCs know this and are steering the funding to this strategy. Read here about what a defensible data strategy is and how to identify your next AI opportunity using this technique.
Added by William Vorhies on July 10, 2018 at 7:00am — No Comments
Though CNNs have mostly been used for computer vision tasks, nothing stops them from being used in NLP applications. One such application for which CNNs have been used effectively is sentence classification.
In sentence classification, a given sentence should be classified to a class. We will use a question database, where each question is labeled by what the question is about. For example, the question, "Who was Abraham Lincoln?" will be a question and…Continue
Added by Packt Publishing on July 10, 2018 at 1:22am — No Comments
Modern audio sensors enables the recording of many hours communication between whales. But with thousands of hours being recorded, it is very difficult to analyze these data, profile it, and turn it into discoveries. That’s when data science comes to our aid.
One approach is to apply supervised machine learning to classify the sounds and identify the whale or species by their voice. Such an experiment can demonstrate that whale sounds can be analyzed automatically, but it does…Continue
Added by Lior Shamir on July 8, 2018 at 5:57pm — No Comments
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing application (like Kafka Streams or KSQL). You could e.g. use the …Continue
Added by Kai Waehner on July 8, 2018 at 4:26pm — No Comments
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.
Featured Resources and Technical ContributionsContinue
Added by Vincent Granville on July 7, 2018 at 7:00am — No Comments
A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an IoT system – needs to work properly and ‘harmonize’ with the others. But how do conductors make their orchestras work so nicely and sound so heavenly instead of creating a mismanaged cacophony? Obviously, there’s a lot of practice involved. But besides that, they definitely know what pitfalls they need to avoid. Which is why,…Continue
Added by imranali on July 7, 2018 at 4:30am — No Comments
In a world where data really matters, everyone wants to create effective charts. But data visualization is rarely taught in schools, or covered in on-the-job training. Most of the people learn as they go along, and therefore they often make choices or mistakes that confuse and disorient their audience.…
Added by Aspasia Daskalopoulou on July 6, 2018 at 10:06am — No Comments
Oracle VM VirtualBox - a suite of applications, system services and drivers that emulate the new computer equipment in the environment of the operating system where you installed VirtualBox. On a virtual machine can be installed almost any operating system. For example, on a real computer with Windows, you can install a virtual machine with operating systems Linux and use both operating systems simultaneously. This operation we wish to make in this article.…Continue
Added by Igor Bobriakov on July 6, 2018 at 3:28am — No Comments
Recurrent Neural Nets (RNN) detect features in sequential data (e.g. time-series data). Examples of applications which can be made using RNN’s are anomaly detection in time-series data, classification of ECG and …Continue
Added by Ahmet Taspinar on July 5, 2018 at 11:48am — No Comments
The manufacturing industry is overwhelmed with the advent of machines, technology, and the internet. The fourth industrial revolution is set to make manufacturing more digital, and only intelligent machines can make this happen. With the rise of machines, robotics, more automation, agile manufacturing, and increasing customization, manufacturing operations have become very complex. This demands better performance and reliability, especially for asset-heavy industries, where the reliability…Continue
Added by Amit Supe on July 5, 2018 at 8:00am — No Comments
All you need to know about machine learning, accessible using our data science search engine, covering hundreds of articles and tutorials:Continue
Added by Vincent Granville on July 5, 2018 at 7:30am — No Comments
What is the Intelligence Revolution equivalent to the 1/4” bolt?
I asked this question in the blog “How History Can Prepare Us for Upcoming AI Revolution?” when trying to understand what history can teach us about technology-induced revolutions. One of the key capabilities of the Industrial and Information revolutions was…Continue
Added by Bill Schmarzo on July 5, 2018 at 6:54am — No Comments
Here is our selection of featured articles and resources posted since Monday.
Forum Questions and Technical ContributionsContinue
Added by Vincent Granville on July 5, 2018 at 6:30am — No Comments