Tag: optimization

Feed: Featured Blog Posts - Data Science Central. Author: Partha Pritam Deka. Author: Partha Deka and Rohit Mittal 1. Introduction Automation in Industrial manufacturing: Today’s increased level of automation in manufacturing also demands automation of material quality inspection with little human intervention. The trend is to reach human level accuracy or more in quality inspection with automation. To stay competitive, modern Industrial firms strive to achieve both quantity and quality with automation without compromising one over the other. Deep Learning for Quality inspection: To meet industry standards quality inspectors in manufacturing firms inspect product quality usually after the product is manufactured, it’s ... Read More

Feed: R-bloggers. Author: Kamal Kumar. Categories Basic Statistics Tags Data Visualisation Linear Regression R Programming Hope you liked the Part 1 ,Part 2 and Part 3 of this Series. In this Part 4, we will go through the tools used during the Improve phase of Six Sigma DMAIC cycle. The most representative tool used during the Improve Phase is DOE-Design of experiments. Proper use of DOE can lead to process improvement, but a bad design of experiment can lead to undesired results – inefficiency, higher costs. What is experiment An experiment is a test or series of tests in which ... Read More

Feed: Feed | Tractica. Author: . As the AI chipset market is becoming crowded, many AI companies have started creating solutions that cater to a niche market. The needs for chipset power, performance, software, and other attributes vary greatly depending on the nature of application. For instance, the Internet of Things (IoT) edge market needs ultra-low power (in milliwatts), mobile phones can work well with power consumption of up to 1 W, drones can consume a bit more, automotive can go from 10 W to 30 W, and so on. Today’s two most prominent architectures are the central processing unit ... Read More

Feed: R-bloggers. Author: Achim Zeileis. In a new paper in Monthly Weather Review, minimum CRPS and maximum likelihood estimation are compared for fitting heteroscedastic (or nonhomogenous) regression models under different response distributions. Minimum CRPS is more robust to distributional misspecification while maximum likelihood is slightly more efficient under correct specification. An R implementation is available in the crch package. Citation Manuel Gebetsberger, Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2018). “Estimation Methods for Nonhomogeneous Regression Models: Minimum Continuous Ranked Probability Score versus Maximum Likelihood.” Monthly Weather Review. 146(12), 4323-4338. doi:10.1175/MWR-D-17-0364.1 Abstract Nonhomogeneous regression models are widely used to statistically ... Read More

Feed: R-bloggers. Author: Tinniam V Ganesh. The second edition of my book ‘Deep Learning from first principles:Second Edition- In vectorized Python, R and Octave’, is now available on Amazon, in both paperback ($14.99)  and kindle ($9.99/Rs449/-)  versions. Since this book is almost 70% code, all functions, and code snippets have been formatted to use the fixed-width font ‘Lucida Console’. In addition line numbers have been added to all code snippets. This makes the code more organized and much more readable. I have also fixed typos in the book The book includes the following chapters Table of Contents Preface 4 Introduction 6 ... Read More

Feed: Planet big data. Author: James McCormick. The relentless march of digital transformation has not left the physical world untouched — particularly when it comes to understanding and engaging with customers. First, customers digitally connected to brands via PCs, then mobile devices, and now via a continuous tidal wave of emerging owned IoT devices (e.g., wearables, connected cars, etc.) and non-owned IoT devices (e.g., video, in-store tracking, etc.). Location is now critical to understanding the context of customer engagement in our rapidly digitizing physical world. A new type of location intelligence (LI) is needed beyond traditional map-, asset-, and operational-centric practices ... Read More

Feed: Planet MySQL; Author: Federico Razzoli; Federico Razzoli  | December 14, 2018 |  Posted In: MariaDB, MySQL PREVIOUS POSTAs mentioned in a previous post, I gave a talk at Percona Live Europe 2018 about system-versioned tables. This is a new MariaDB 10.3 feature, which consists of preserving old versions of a table rows. Each version has two timestamps that indicate the start (INSERT,UPDATE) of the validity of that version, and its end (DELETE, UPDATE). As a result, the user is able to query these tables as they appear at a point in the past, or how data evolved in a certain time ... Read More

Feed: Planet PostgreSQL. This blog is about my work on the Postgres open source database, and is published on Planet PostgreSQL. PgLife allows monitoring of all Postgres community activity. Micro-Optimizations Friday, December 14, 2018 This email thread discusses the tradeoffs of adding optimization improvements that affect only a small percentage of queries, i.e., micro-optimizations. The big sticking point is that we don't know if the time required to check for these optimizations is worth it. For short-running queries, it probably isn't, but for long-running queries, it probably is. The problem is that we don't know the final cost of the ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: dallas-crawford; Whether it’s forecasting customer demand, streamlining supply chains or optimizing product pricing strategy, enterprises depend on their data to help them make the right decisions. But, while large organizations can afford the infrastructure investments required for analytics, deploying cutting-edge tools can be too costly and complex for many businesses. At QueBIT, our goal is to help organizations of all sizes unlock the full potential of their data, and make analytics accessible for small- and medium-sized businesses. Cost-effective analytics By harnessing IBM Analytics solutions, QueBIT has developed a suite of ... Read More

Feed: SAS Blogs. Author: Leo Sadovy. By now you’ve seen the headlines and the hype proclaiming data as the new oil. The well-meaning intent of these proclamations is to cast data in the role of primary economic driver for the 21st century, just as oil was for the 20th century. As analogies go, it’s not too bad, but it doesn't really hit the mark. If we were to stick with the oil/data analogy, data would not be a replacement for oil, but a co-equal partner. Allow me to offer an alternative analogy: Life. In an attempt to assess whether or ... Read More