Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Whether you’re a data scientist building an implementation case to present to executives or a non-data scientist leader trying to figure this out there’s a need for a much broader framework of strategic thinking around how to capture the value of AI/ML. There are many articles written from a tools perspective about how to take advantage of specific capabilities of AI.  Those encompass for example chatbots from NLP or image classification based on CNNs.  To be clear, I’m talking about the expanded definition of AI that should more ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: satyajit maitra. BigQuery is Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator. Analyze all your data by creating a logical data warehouse over managed, columnar storage, as well as data from object storage and spreadsheets. Build and operationalize machine learning solutions with simple SQL. Easily and securely share insights within your organization and beyond as ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Matthew Evans. Massively multiplayer online role-playing games, more commonly referred to as MMORPGs, continue to gain popularity. Whether this upward trend will continue is a topic of debate among many. This growing hobby has attracted participants from all walks of life. Though computer games have been around for years, MMORPGs are different in numerous facets. While a healthy form of entertainment for some men, women, and children, others develop something more akin to addiction. Are these increasingly played games a good form of entertainment that will last or merely a passing ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: John Bowden. There is a meeting of the world’s most renowned scientists once in two years. These meetings are held to tackle biological puzzles they call the protein folding problem where they try to predict the shape of the proteins in the human body. Nobody knows how the problem can be solved. Such meetings are how these scientists come up with a great way to solve issues in the human body by creating new medicine that will fight diseases. Imagine if you could talk to a computer about your symptoms and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Civis Analytics. By Peter Cooman The path to D3 mastery is dark and full of terrors. D3 itself is a JavaScript (JS) library and on top of that, you’ll need a basic understanding of HTML (Hypertext Markup Language) and CSS (Cascading Style Sheets) to get the most out of it. If you’re a data scientist, chances are JavaScript, at best, ranks as your fourth language, after R, Python, and SQL. In this three-part series of blog posts, I will show you step-by-step how you can combine R with D3, HTML, and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Andrea Manero-Bastin. This article, written by the Facebook research team, was written by Ben Letham, Brian Karrer, Guilherme Ottoni and Eytan Bakshy. It features some of the techniques used by Facebook for A/B testing. Facebook relies on a large suite of backend systems to serve billions of people each day. Many of these systems have a large number of internal parameters. For example, the web servers that power Facebook use the HipHop Virtual Machine (HHVM) to serve requests, and HHVM has dozens of parameters that control the just-in-time compiler. As another ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Grafana is an open-source, nightly built dashboarding, analytics, and monitoring platform that is tinkered for connection with a variety of sources like Elasticsearch, Influxdb, Graphite, Prometheus, AWS Cloud Watch, and many others. One of the biggest highlights of Grafana is the ability to bring several data sources together in one dashboard with adding rows that will host individual panels (each with visual type). Among the other pros are: Nice design of the visuals and interface; Comfortable to work on several sources; Easy to connect to the sources. However, Grafana ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kartik Patel. As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction. In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100% accuracy to drive the direction of the business. For other businesses, the issue is more pressing. When ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Aileen Scott. “Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner  Big data is the new oil and there’s no denying to this fact. In certain ways the analogy fits, it is easy to draw attention about how information (data) is used to power much of the transformative technology that we see today such as predictive analysis, automation and artificial intelligence etc.   As technology move towards the businesses domain, many organisations are drawing their focus towards data-driven decision making. Many organisations and firms are ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Introduction Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, artificial intelligence has been at the centre of these amazing huge-impact projects. Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the usual jokes about computers taking over the world, but there’s nothing funny about considering AI as a career field. Just the fact that five out of six Americans ... Read More