Tag: machine learning

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: Alation. Author: Stephanie McReynolds. We live in an age of unprecedented speed and breadth of technological change. Since the year 2000, new discoveries are coming at a fast and furious pace in many technology sectors, including software, material science, neuroscience, and genetics. Innovations are also uniquely broad compared to other eras of technological innovation, spanning multiple technologies from innovations like genetically targeted cancer treatments to 3D bioprinting of tissue. Observers have called this “The Second Machine Age” and The Fourth Industrial Revolution.” In his book titled “The Fourth Industrial Revolution,” Klaus Schwab describes the age as, “characterized by a ... Read More

Feed: R-bloggers. Author: Ryan Sheehy. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Debbie Berebichez, a physicist, TV host and data scientist and is currently the Chief Data Scientist at Metis in NY. Hugo: Hi there, Debbie, and welcome to DataFramed. Debbie: Hi, Hugo. It’s a pleasure of mine to be here. Hugo: It is such a pleasure to have you on this show, and I’m really excited to be here today to talk in particular about critical thinking in data science, and what that actually means, and as we know, to get critical about critical thinking ... 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: 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: 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

Feed: SAS Blogs. Author: Emma Tomkins. UK government departments and the wider public sector are under huge pressure to improve service delivery and efficiency. We also know that investments in data analytics and data science play a key role in transforming services to help citizens. So what are the key challenges preventing more widespread adoption of these solutions? This post looks at some examples of success achieved to date. And I'll also discuss how to overcome some of the practical challenges that still prevent investment in effective analytics solutions. From observations to actions Accelerating citizen outcomes requires increasing collaboration across ... Read More

Feed: Big Data Made Simple. Author: Stanley M. Goodman. Modern technology is progressing at a faster rate than it ever has in the past. And this is a rate that’s only getting quicker as time goes on. New technologies are being announced seemingly every other day, and while as parents it might feel like you’re being left behind, it’s important to remember this is the world your children will be growing up in.With this in mind, it’s important to make sure your children are taking an interest in modern technology and understanding how it works and how it progresses. As ... Read More