Category: Featured

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In this post, I explain How you can participate further in the free book series which we are launching based on the early experiences and Useful resources we recommend based on our experience for learning coding for Data Science (using Python – tensorflow and keras) To provide some context, I posted about the idea of learning coding for machine learning / deep learning in a weekend We have had considerable success with this – and now we are planning the next stage. To participate in this book series and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. 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. To subscribe, follow this link.   Announcements Closing the Industrial Skills Gap with Industrial AR. Download your free copy to discover: Four reasons why skills shortages are more than a "retirement problem". Three main strategies used to preserve skilled resources. Five ways that industrial AR is a proven game-changer. Two customer examples of rapid, repeatable AR success. Earn a Graduate Certificate in Business Analytics online from Penn ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow.  Here are the rest.   McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow.  Here are the rest. The goal here is to describe how ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Don Philip Faithful. I often encounter blogs highlighting the amount of effort needed to obtain high-quality data for analysis.  Many aspects of this effort seem reasonable to me: there might be cut-and-pasting, merging, parsing, restructuring, extractions, conversions, concatenations, and conditionals.  There might even be coding embedded in the file containing loops, more sophisticated conditionals, and detailed algorithmic processes.  All of these are relatively minor challenges that can be overcome perhaps at some point through systems of integration.  There are certain “deep” obstacles that cannot be easily integrated away; these barriers can ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Rosaria Silipo. I often tell my younger coworkers that the most boring way to start a blog post is, “This post is about …” — unless of course you rap it!   Yo! This post is about generating free text with a deep learning network particularly it is aboutBrick X6, Phey, cabe, make you feel soom the way (I smoke good!) I probably make (What?) More money in six months, Than what’s in your papa’s safe (I’m serious) Look like I robbed a bank (Okay Okay) I set it off like ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Nothing like a devastating catastrophe to bring a bit of reality into the world of IoT and data science.  The recent crashes of the new Boeing 737 Max have been attributed to a single point of failure – a sensor – in the design of the complex navigation system[1].  To summarize the situation: Boeing’s new 737 MAX included larger, more efficient engines than the previous generation and as such, the engines were placed on a different location on the wings affecting the aerodynamics.  To compensate for this, and in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: jwork.ORG. In many fields of science, it is important to understand the relevance of new theories or hypotheses in a description of experimental data, assuming that such data are already well represented by predictions of some well-accepted theory. A popular statistical method for setting upper limits (also called exclusion limits) on model parameters of a new theory is based on the CLs method. The posted blog "Calculating exclusion limits for a new theory in hardcore science" discusses a code snippet that illustrates this method. In many fields of science, it is ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Capri Granville. Guest blog by Stephan Loyd. Hello everybody, this is my first post here, so forgive me if I screw it up. Let me firstly introduce background of my work. Several years ago I landed onto a Perl job. It also involves some other languages like Python and R, but it was mainly Perl, until last year focus of my role switched and I still do some Perl but much less since then. I was a little bit sad. Perl is indeed a good language, but usually underated outside its ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. In this article, I describe the ultimate number guessing game, played with real money. It is a new trading and gaming system, based on state-of-the-art mathematical engineering, robust architecture, and patent-pending technology. It offers an alternative to the stock market and traditional gaming. This system is also far more transparent than the stock market, and can not be manipulated, as formulas to win the biggest returns (with real money) are made public. Also, it simulates a neutral, efficient stock market. In short, there is nothing random, everything is deterministic ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ajit Singh. As we live through the ever-changing world, education is the sphere that remains surprisingly behind the general rapid advancement. The WEF Future of Jobs Report 2018 states that technological breakthroughs are changing the global labor market, blurring the frontier between human jobs and automated machine tasks and people are still largely unprepared for them. We’re entering the new paradigm of global interconnectivity where the Internet of Things (IoT) reaches out for previously disconnected offline objects and devices.  Although education remains a background sector for IoT by and large, the classroom ... Read More