Tag: Patterns

Feed: R-bloggers. Author: Peter's stats stuff - R. I recently read the high quality book Global Inequality by Branko Milanovic. When reading this sort of thing, I often find I can increase my engagement with a topic by playing around with the data myself. In this day and age, this is much more likely to be possible than a couple of decades back! I remember when I first studied development economics, typing into Lotus 123 the data from tables in the back of a World Development Report. These days to get the same data we just fire up R and ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; The latest executive report published by IBM Institute for Business Value puts the estimated cost of cyber crime to the global economy in a range of USD 375–575 billion per year. Reputational damage, which is hard to calculate, comes on top of all this. No industry and geography has remained untouched with recent spurt of cyber attacks. Most companies have cyber security systems in place with some Fortune 500 and government agencies having highly advanced sophisticated systems in place. The difficulty is, not many have constructed living, dynamic and vibrant ... Read More

Feed: Hadoop – Cloudera Engineering Blog. Author: Justin Kestelyn. In this installment of “Meet the Project Founder,” we speak with Josh Wills (@josh_wills), Cloudera’s Senior Director of Data Science and founder of Apache Crunch and Cloudera ML. What led you to your project idea(s)?When I first started at Cloudera in 2011, I had a fairly vague job description, no real responsibilities, and wasn’t all that familiar with the Apache Hadoop stack, so I started working on various pet projects in order to learn more about the tools and the use cases in domains like healthcare and energy. My first project, ... Read More

Feed: IBM Big Data Hub Blog; Author: andrea-braida; In any successful modern organization, analytics is likely to play a central role in helping decision-makers design and execute effective business strategies. At IBM, as we work with clients across the globe, we’re seeing ever-increasing levels of maturity and confidence in data-driven business models.However, analytics technologies and practices continue to develop and evolve at a rapid pace—which means that it’s necessary for even the most mature analytics adopters to take a step back, challenge their current perspectives, and engage with some fresh thinking. Regularly reviewing your assumptions and revising your strategy is ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: priyanka-jain; We are experiencing another industrial revolution. A revolution around data and its ability to impact every industry and profession today. From the time you start your day checking the weather data on your mobile phone, calculating the time it takes to reach your workplace with traffic data, we are all creators and consumers of data. This growth in data has also contributed to new challenges of securing it, governing it and protecting privacy. You need to constantly evaluate your data processing practices to ensure that you comply with upcoming ... Read More

Feed: Clustrix Blog. Author: Dave Anselmi. When people come up and ask, “Oh, so ClustrixDB is yet another MySQL-compatible database. What makes you different?” we have a terrific answer, and it’s all about horizontal scaling: ClustrixDB is the only MySQL compatible database that linearly scales-out both write and read queries. By horizontal scaling we mean each additional node added to a ClustrixDB cluster adds both linear write and read horizontal scale. This is significantly different from what MySQL can provide — as a single-node master architecture, MySQL can have multiple read slaves added, potentially providing at best only linear read ... Read More

Feed: Planet big data. Author: JeanFrancoisPuget. My colleague Eric Mazeran gave a keynote on ML, Optimization and Rules : time for agility and convergences at the Rule ML conference . I co authored the material with him, and the slides can be found here.  It was well received as it gives a global view on how these three technologies can be used together.  I'd like to comment on one slide of his presentation (slide 15 if you download the deck).  Here is a slightly modified version of it: It captures what I believe is the ideal data science project.  It starts ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Shreya Gupta. 1. Objective Through this blog you will know about the Big data  applications and Big data uses in retail sector with examples along with use of RFID in retail. You will learn concepts related to Big data in retail industry like retail asset management, production tracking in retails industry, inventory control, Shipment, Regulatory Compliance, and Service and Warranty Authorizations and many other retail Big data use cases with examples. 2. Use of Big Data in Retail Industry With the growth in retail industry with millions of transactions spread across multiple ... Read More

Feed: All - O'Reilly Media. Author: Medha Agarwal. Fractal art (source: Pixabay) Check out the Strata Business Summit at the Strata Data Conference in New York City, Sept. 25-28, 2017, to learn more from data-driven businesses—including American Express, BBC Worldwide, and LinkedIn. Early price ends August 11. Driverless cars aren’t the only application for deep learning on the road: neural networks have begun to make their way into every corner of the automotive industry, from supply-chain management to engine controllers. In this installment of our ongoing series on artificial intelligence (AI) and machine learning (ML) in the enterprise, we speak ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. Fintech is the new gold rush for investors, growing from 10% in 2016, to a staggering $23.2 billion, with China and USA leading the market. This boost is powered by the growing capabilities of machine learning and artificial intelligence. It is an idea whose time has come, as the computational and storing capabilities available today can record and process the impressive quantities of big data necessary to fuel the algorithms. AI has already proven its capabilities in retail, healthcare, and trading, and therefore, looks like a safe ... Read More