Tag: Classification

Feed: Featured Blog Posts - Data Science Central. Author: Jesus Ramos. TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy, but you can counter them by following pages, people and content you would normally not follow on FB. Thanks to a famous Vice article from April 2017, everyone, even those not acquainted with technology, has now an idea of how we are basically giving Facebook a map of our preferences, orientations, motivations, and even our psyche, by using it to share our interests, play games, answer quizzes and interact with other people. This data, in turn, ... Read More

Feed: SAS Blogs. Author: Inge Krogstad. IT managers see the potential for cost-cutting from transitioning application development to open source software (OSS). Today, companies can hire recent college graduates with skills in open source development and avail themselves of the free software. But is all that glitters really gold? Users groups and more formal workgroups are experiencing an avalanche of new routines that have been made available. And users are now sharing programs along with their own cutting-edge ideas, whether based on R, Python, Tensorflow, or another programming language or library. Therefore, it has to be assumed that business leaders ... Read More

Feed: Microsoft Azure Blog. Author: Sachin Ghorpade. This post was co-authored by Rohit Kumar Cherukuri, Vice President – Marketing, Cloud4C Australian government organizations are looking for cloud managed services providers capable of providing deployment of a platform as a service (PaaS) environment suitable for the processing, storage, and transmission of AU-PROTECTED government data that is compliant with the objectives of the Australian Government Information Security Manual (ISM) produced by the Australian Signals Directorate (ASD). One of Australia’s largest federal agencies that is responsible for improving and maintaining finances of the state was looking to implement the Information Security Registered Assessors ... Read More

Feed: Planet big data. Author: Katrine Spirina. 22 August 2019Author Katrine SpirinaComputer vision is a subsection of artificial intelligence (AI) that is on the rise. Its focus is on developing and refining techniques that let machines see and understand digital images and video content.Today, we live in a reality awash in visual information. According to HubSpot, 54% of consumers want their favorite brands to deliver more video content. Forbes suggests that websites, exposing a great deal of video content, make average users spend 88% more time on their pages.To perceive visual information, we have a “superbly efficient tool” – our ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. The use of training, validation and test datasets is common but not easily understood.  In this post, I attempt to clarify this concept. The post is part of my forthcoming book on learning Artificial Intelligence, Machine Learning and Deep Learning based on high school maths.  If you want to know more about the book, please follow me on Linkedin Ajit Jaokar Background Jason Brownlee provides a good explanation on the three-way data splits (training, test and validation) – Training set: A set of examples used for learning, that is ... Read More

Feed: Apple Machine Learning Journal. Author: . Many language-related tasks, such as entering text on your iPhone, discovering news articles you might enjoy, or finding out answers to questions you may have, are powered by language-specific natural language processing (NLP) models. To decide which model to invoke at a particular point in time, we must perform language identification (LID), often on the basis of limited evidence, namely a short character string. Performing reliable LID is more critical than ever as multi-lingual input is becoming more and more common across all Apple platforms. In most writing scripts — like Latin and ... Read More

Feed: MemSQL Blog. Author: Floyd Smith. In this webinar, which you can view here, MemSQL’s Mike Boyarski describes how real-time fraud detection represents a major digital initiative for banks. He shows how MemSQL gives fraud detection services, along with other real-time analytics, an edge with faster ingest, real-time scoring, and rapid response to a broader set of events. He also describes a major US bank’s implementation of this approach, which is described separately in our case study about fraud detection on the swipe. New Data Initiatives for Banks There’s a great deal of digital transformation occurring around data initiative for ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Nima Sharifi Mehr. The Internet of Things (IoT) solutions help transform your operations and customer experiences across a variety of industries and uses. That unlimited opportunity brings excitement, but it also brings security, risk, and privacy concerns.To protect customers, devices, and companies, every IoT solution should start and end with security.  The best IoT security solution offers multi-layered protection from the edge to the cloud, letting you secure your IoT devices, connectivity, and data. Ideally, you could rely on a publicly known and reusable list of security practices for ... Read More

Feed: R-bloggers. Author: Andrew Treadway. Background AUC is an important metric in machine learning for classification. It is often used as a measure of a model’s performance. In effect, AUC is a measure between 0 and 1 of a model’s performance that rank-orders predictions from a model. For a detailed explanation of AUC, see this link. Since AUC is widely used, being able to get a confidence interval around this metric is valuable to both better demonstrate a model’s performance, as well as to better compare two or more models. For example, if model A has an AUC higher than ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: AI. Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has proven to be a powerful tool in classifying medical images for detecting various diseases. However, supervised machine learning requires a large amount of data to train the model, whose storage and processing pose considerable system requirements challenges for mobile applications. Therefore, many studies focus on deploying cloud-based machine learning, which takes advantage of the Internet connection to outsource data-intensive computing. However, this kind of approach comes with certain ... Read More