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October 2017 Blog Posts (99)

Artificial Intelligence as a Service - AIaaS

Suddenly, artificial intelligence is everywhere. Are you AI ready if not then be ready to be read in history books. Are we not missing the fact that artificial intelligence is about the people, not the machines. Technology and non technology companies are now investing and brining out the real and materialistic values of Artificial Intelligence to the real world. Its almost…

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Added by Vinod Sharma on October 19, 2017 at 2:30am — No Comments

The day when the computer becomes a data scientist

Don't be shocked! You knew that day would come… you could have even predicted the exact…

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Added by Danor Aharon on October 18, 2017 at 1:00pm — No Comments

Ranking Popular Deep Learning Libraries for Data Science

Michael Li is founder and CEO at The Data Incubator. The company offers curriculum based on feedback from corporate and government partners about the technologies they are using and learning, for masters and PhDs. 

The Rankings

Below is a ranking of 23 open-source deep learning libraries that are useful for Data Science, based on Github and Stack Overflow activity, as well as Google search results. The…

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Added by Michael Li on October 17, 2017 at 12:00pm — No Comments

Have You Heard About Unsupervised Decision Trees

Summary: Unless you’re involved in anomaly detection you may never have heard of Unsupervised Decision Trees.  It’s a very interesting approach to decision trees that on the surface doesn’t sound possible but in practice is the backbone of modern intrusion detection.

 

I was at a presentation recently that focused on stream processing but the use case presented was about anomaly detection.  When they started talking about unsupervised decision trees my…

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Added by William Vorhies on October 17, 2017 at 8:30am — 6 Comments

How Mathematical Discoveries are Made

In one of my previous articles, you can learn the process about how discoveries are made by research scientists, from stating the problem, exploratory analysis, testing, simulations, data science guesswork, all the way to the discovery of a new theory and state-of-the-art statistical modeling,including new, fundamental mathematical/statistical equations.

This is a unique occasion to discover the creative path followed by inventors. Traditional research papers do not explain how a new…

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Added by Vincent Granville on October 17, 2017 at 8:30am — No Comments

Gear Up for the Smart Video Revolution

The technology revolution promises to deliver a lot of rewards for organizations that take it by the horns and implement it. The spread of the Internet across every facet of society has meant that the traditional approach to watching videos has changed. Research shows that the average American is still fond of watching videos on the traditional television. The interest in watching TV results in around…

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Added by Ronald van Loon on October 17, 2017 at 5:30am — No Comments

Stored Procedures: A Seemingly Nice Tool with Hidden Problems

The stored procedure is as widely used in database computing as the controversy around the technique is long-standing. By analyzing its two recognized merits, we try to locate the potential risks it poses and its application scenarios.

 

The stored procedure keeps user interface and business logic separate!

Today, it is a basic principle to separate user interface from business logic for application development. Different from the backstage data processing…

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Added by JIANG Buxing on October 16, 2017 at 11:30pm — 1 Comment

Image Classification With HSV Color Model Processing

Digital image processing is a discipline that studies image processing techniques. The image referred in this research is a static image form vision sensors (webcam). Mathematically, the image is a continuous function of light intensity on two-dimensional field. In order to be processed by a computer, an image should be presented numerically with discrete values. A digital image can be represented by a two-dimensional matrix f (x, y) consisting of M columns and N rows. In color image…

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Added by Jeefri A. Moka on October 16, 2017 at 6:30pm — 2 Comments

Non-traditional strategies for mid-career switch to #Datascience and #AI

In this post, I explore strategies to switch to Data Science mid-career. This switch is not easy, but based on the experience of many who I have taught/mentored/recruited – it is possible. Most people consider PhD/MooC etc for switching their career to Data Science. But here, I will explore some non-traditional/unorthodox ways of switching to Data Science. I draw upon my personal experience as a teacher, data…

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Added by ajit jaokar on October 16, 2017 at 12:00pm — 2 Comments

The Power and Cost of Hurricanes

Every year, late in the summer, waves of warm air come off the African continent and enter into the warm open seas of the mid-Atlantic Ocean. When the conditions are right, these waves of warm air form into tropical depressions. Tropical depressions can then turn into a tropical storm, which is when the storms are given a human moniker thus becoming an official “named storm." After that they can become hurricanes of varying intensity and…

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Added by sasha blumenfeld on October 16, 2017 at 10:30am — No Comments

6 Types of Programmers in One Picture

Which type are you? Can you recognize the programming language used in this illustration? Click on the picture to zoom in. …

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Added by L.V. on October 16, 2017 at 8:00am — 1 Comment

Hedge Funds Employ A.I. To Redefine The Trading Business

Wall Street is looking towards Silicon Valley for a more automated environment and a tech-driven approach.…

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Added by Deena Zaidi on October 16, 2017 at 7:30am — No Comments

Digital in the Age of Customer

Today’s customers are like a King. They are in the driver’s seat, with the power of the internet and social media tools creating tons of information. With the strong influence of smartphones, all the information is at their fingertips.

We are living in interesting times ofIndustry 4.0. Consumers are now on the cusp of a hyper-personalized era with fundamental changes in terms of choice,…

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Added by Sandeep Raut on October 15, 2017 at 9:30pm — No Comments

100+ Commonly Asked Data Science Interview Questions

Here is a new set of easy questions recently published, covering

  • Statistics
  • Programming (General, Big Data, Python, R, SQL)
  • Modeling
  • Behavioral
  • Culture Fit
  • Problem-Solving

Statistics:

  • Prove that a random variable with a distribution on [0,1] (that is, the density function is equal to 0 outside [0, 1]) has an expectation always between 0 and 1. Prove that its variance is maximum and…
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Added by Vincent Granville on October 15, 2017 at 4:30pm — No Comments

A framework for automated rating of online reviews against the underlying topics

Even though the most online review systems offer star rating in addition to free text reviews, this only applies to the overall review. However, different users may have different preferences in relation to different aspects of a product or a service and may struggle to extract relevant information from a massive amount of consumer reviews available online. In this paper, we present a framework for extracting prevalent topics from online reviews and automatically rating them on a 5-star…

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Added by AI on October 15, 2017 at 9:00am — 2 Comments

Weekly Digest, October 16

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.

Announcements
  • Nine out of ten employers say that a credential would be beneficial when seeking to hire specialists in the predictive analytics field. The …
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Added by Vincent Granville on October 15, 2017 at 9:00am — No Comments

Data Lake Business Model Maturity Index

This blog is written in collaboration with the witting and insightful Matt Maccaux and his leading edge work around our elastic data platform and data lake.

“Our organization is abuzz with the concept of data lakes!” a customer recently told me. And rightfully so, as the data lake holds the potential to help organizations become more effective at leveraging data and analytics to power their business models. That’s exactly what we propose when we…

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Added by Bill Schmarzo on October 14, 2017 at 2:30pm — No Comments

Seam Carving: Using Dynamic Programming to implement Context-Aware Image Resizing in Python

The following problem appeared as an assignment in the Algorithm Course (COS 226) at Princeton University taught by Prof. Sedgewick.  The following description of the problem is taken from the assignment itself.

The Seam Carving Problem

  • Seam-carving is a content-aware image resizing technique where the image…
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Added by Sandipan Dey on October 14, 2017 at 2:30pm — No Comments

Building your first Machine Learning model on iPhone

This tutorial will teach you how to build a ML model on iPhone using CorelML. Interestingly this is not the first time that Apple has come out with a framework for machine learning on its devices. Last year it launched a bunch of libraries for the same:

  1. Accelerate and Basic Neural Network Subroutines (BNNS) – Efficiently utilize CPU for predictions using Convolutional Neural Networks.
  2. Metal Performance Shaders CNN…
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Added by Vincent Granville on October 14, 2017 at 9:00am — No Comments

Banking with Artificial Intelligence

Image Source: Photo by …

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Added by Deena Zaidi on October 13, 2017 at 1:00pm — No Comments

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