Added by Antoine Savine on May 25, 2020 at 11:30am — No Comments
In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association. Most of this money was bet in “bracket…Continue
Added by Paul Derstine on March 3, 2020 at 7:30am — No Comments
(I will give you a hint. It’s in the name.)
This post is intended as a response to an interesting discussion on…Continue
Added by Lucas Finco on November 25, 2019 at 8:30am — No Comments
by Hudson Hollister
Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data analytics provides greater efficacy and higher hit rate than traditional investigative methods – and now can even be performed using only public…Continue
Added by Paul Derstine on October 28, 2019 at 11:30am — No Comments
Added by Kyrylo Kolodiazhnyi on January 21, 2019 at 7:44am — No Comments
Who wants to hear a story about data?!
Understandably, not a lot of people would raise their hands to an intro like that. For me, however, data has sculpted my career path and led to many exciting opportunities over the life of my profession. It hasn't been easy -- I think any entrepreneur would tell you the same and surely the content and media attention around self-starting individuals would concur. But I'm not here to tell you about the hardships of…Continue
Added by John E Sukup on December 11, 2018 at 3:00am — No Comments
Ethics in machine learning are what comes to mind when we imagine a worst case scenario in the context of artificial intelligence. As an example, we can think of HAL 9000 from ‘2001: A Space Odyssey’ and Skynet from the ‘Terminator’ films or more recently Ultron from the ‘Avengers’. Sadly, the main thinking behind most of the depicted self aware artificial…Continue
Added by Youness ECHCHADI on October 20, 2018 at 10:30am — No Comments
Given the touting of recent analytic and machine learning results in healthcare, why haven't doctors been replaced by computers yet? The truth is that there are many obstacles that stand in the way of implementing analytics in healthcare. Ethical issues introduced by this technology are also fiercely debated and must be considered. Finally, while obstacles imply a possibility of being overcome, there are also limitations to this technology,…Continue
Added by Vik Kumar on October 13, 2018 at 11:55am — No Comments
Congestive heart failure (CHF) has been called an "epidemic" and a "staggering clinical and public health problem" (Roger, 2013). It can be defined as the impaired ability of the ventricle to fill or eject with blood. Consequences include difficulty breathing, coughing fits, leg swelling, decreased quality of life, and ultimately death. As life expectancy increases globally, we can only expect to see this syndrome more frequently. Fortunately, the advents of…Continue
Added by Vik Kumar on August 28, 2018 at 3:17am — No Comments
While a reliable method to accurately identify suicidal patients is missing from medical literature,…Continue
Added by Deena Zaidi on August 15, 2018 at 6:42pm — No Comments
Added by Yoel Zeldes on August 15, 2018 at 10:30am — No Comments
As deep neural networks (DNN) become more powerful, their complexity…Continue
Added by Yoel Zeldes on August 11, 2018 at 9:00am — No Comments
Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…Continue
Added by Kyrylo Kolodiazhnyi on August 7, 2018 at 7:03am — No Comments
Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:
1. Loading data
2. Performing normalization and dimension…Continue
Added by Kyrylo Kolodiazhnyi on July 30, 2018 at 2:40am — No Comments
Hello, with this article I'm starting series of articles about full featured C++ Machine Learning frameworks . This articles covers how to use Shogun library for solving classification problem. Shogun is an open-source machine learning library that offers a wide range of machine learning algorithms. From my point of view it's not very popular among professionals, but it have a lot of fans among enthusiasts and…Continue
Added by Kyrylo Kolodiazhnyi on July 17, 2018 at 11:17am — No Comments
I’d like to introduce a series of blog posts and their corresponding Python Notebooks gathering notes on the Deep Learning Book from Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms. In…Continue
The world is rapidly changing thanks to digital technologies.
Business are transforming along wit it.
Join Ronald van Loon on his journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business.
Added by Ronald van Loon on February 6, 2018 at 9:30pm — No Comments
Now that Christmas and the New Year are behind us the nights are becoming a little longer with each passing day. Nevertheless, there's still loads of cold winter nights left to endure (unless you're in the Southern Hemisphere, in which case – throw me a shrimp on the barbie!).
It's time to dust off your New Year resolutions from last year (remember those?) and get ready for a new start, a new you and learn some new data skills.
I’ve thrown together a collection of five…Continue
Added by Lee Baker on January 24, 2018 at 11:00am — No Comments
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it is integral to Gartner’s vision of the digital enterprise and makes the Hype Cycle for 2017. It’s a major enabler of event processing as opposed to traditional request processing.Continue
Added by William Vorhies on January 2, 2018 at 8:30am — No Comments
The role of Artificial Intelligence (AI) devices in augmenting humans and in achieving tasks that were previously considered unachievable is just amazing. With the world progressing towards an age of unlimited innovations and unhindered progress, we can expect that AI will have a greater role in actually serving us for the…Continue
Added by Ronald van Loon on December 31, 2017 at 10:30pm — No Comments