Tag: data science

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. I wrote earlier in 2019 an article entitled New Stock Trading and Lottery Game Rooted in Deep Math, see here. It features a number guessing game that -- depending on the parameters -- mimics either a neutral stock market or a lottery. The gain depends on the distance between your guess and the winning numbers. The average gain is zero, and there is a public algorithm available to compute the next winning number, though this algorithm requires too much computing power to be of any use: in short, the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Rafael Knuth. Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of businesses and organizations. Hence, let's do a thought experiment: If we were to compare human and artificial intelligence, how would we go about it? And what would be the possible conclusions from that comparison? Artificial intelligence systems don't suffer from memory loss, they operate strictly logically, and they can process massive amounts of data. Best of all, they are increasingly capable of learning without ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. As Kevin Lynch, CTO of The Information Lab in Dublin, was describing how his organization uses the Hypothesis Development Canvas, it occurred to me that Kevin was actually using the canvas to tell a story about how his organization uses data science to uncover new sources of value (see Figure 1). Figure 1: Hypothesis Development Canvas Storytelling is a very powerful means of communication that connects people with others in a more relevant, and sometimes emotional, way.  And while there are many others more experienced at explaining the power ... Read More

Feed: Neo4j Graph Database Platform. Author: Corin Gainey. Editor’s Note: This presentation was given by Eric Wespi and Eric Spiegelburg at GraphConnect New York in September 2018.Presentation SummaryWe’re going to talk about some project themes that make sense when you’re going about developing a graph project. We’ll dive into the the business problem and discuss the specifics of the business problem.We are going to cover manufacturing quality, how graphs apply to that problem and how this helped us get some business value through performance improvements and new capabilities. We’ll also talk about the evolution of our graph model. We will ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. We want to know how you use rOpenSci packages and resources so we can give them, their developers, and your examples more visibility. It’s valuable to both users and developers of a package to see how it has been used “in the wild”. This goes a long way to encouraging people to keep up development knowing there are others who appreciate and build on their work. This also helps people imagine how they might use a package to address their research question, and provides some code to give them a ... Read More

Feed: R-bloggers. Author: R on Coding Club UC3M. [This article was first published on R on Coding Club UC3M, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. by Antonio Sánchez Learning to code can be quite hard. Apart from the difficulties of learning a new language, following a book can be quite boring. From my point of view, one of the bests ways to become a good programmer is choosing small and funny ... Read More

Feed: R-bloggers. Author: John Mount. [This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. We are excited to share a free extract of Zumel, Mount, Practical Data Science with R, 2nd Edition, Manning 2019: Evaluating a Classification Model with a Spam Filter. This section reflects an important design decision in the book: teach model evaluation first, and as a step separate from model construction ... Read More

Feed: R-bloggers. Author: Marcin Dubel. TL;DR Why use object-oriented programming in Shiny applications? It’ll help organizize organize the code in your application!   Organize Your Shiny Code with Object-Oriented Programming Classes are used widely in all R programming — usually the S3 ones. Even if you’ve never heard of them, as an R user you’re for sure familiar with object classes like data.frame. The magic of classes makes same functions (like print or plot) operate differently for specific cases. This system also allows you to define methods and attributes dedicated for object – thus basing your code around objects, not functions ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Data Scientists from Booking.com share many lessons learned in the process of constantly improving their sophisticated ML models.  Not the least of which is that improving your models doesn’t always lead to improving business outcomes. The adoption of AI/ML in business is at an inflection point.  Recent adopters are still building teams and trying to plan portfolios of projects than make sense and can create value.  On the other side of the curve are mature adopters, many of whom are large well known ecommerce companies and now have ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ronald van Loon. As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the digital transformation or the data-led transformation, but this transformation has been the talk of the town for a long time now.  Not only are organizations geared toward achieving a better analytics setup, but they are also on the lookout for a more efficient data policy in the process. With many cloud service providers around us offering AI as a service, companies can tap ... Read More