Tag: machine learning

Feed: Featured Blog Posts - Data Science Central. Author: Aaron Burciaga. Virtues should be digitized. As we speed toward reliance on machines to process more and more information and provide cognitive support for all types of decision-making, we must consider ways to imbue automated processes, data machinations and recommender systems with a sense of some of the finest human virtues. We are at the crossroads of a moral decision in artificial intelligence (AI) -- what I call the codification of virtue (or not) -- to address historic biases and impose just standards for reality bent on fair data and decision-making ... Read More

Feed: Teradata Blog. Bayes’ theorem, also known as Bayes’ rule or Bayes’ law named after 18th-century British mathematician Thomas Bayes, is a mathematical formula used to calculate conditional probability. In other words, it is used to calculate the probability of an event based on its association with another event. It incorporates prior knowledge while calculating the probability of occurrence of the same in the future. It is often used in today’s highly demanding Machine Learning and Artificial Intelligence applications and is now one of the most useful concepts for understanding few Vantage algorithms to predict the probability of an outcome. So, let’s try to understand ... Read More

Feed: Recent Announcements. Generative AI is one of the exciting recent advancements in artificial intelligence technology because of its ability to create something new. From turning sketches into images for accelerated product development, to improving computer-aided design of complex objects, there are many practical applications emerging across industries. This Generative AI technique pits two different neural networks against each other to produce new and original digital works based on sample inputs. Until now, developers interested in growing skills in this area haven’t had an easy way to get started. With AWS DeepComposer, developers, regardless of their background in ML, can ... Read More

Feed: AWS Compute Blog. Author: Julian Wood. This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the nine serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the Introduction post for a table of contents and explaining the example application.Question OPS1: How do you evaluate your serverless application’s health? Evaluating your metrics, distributed tracing, and logging gives you insight into business and operational events, and helps you understand which services should be optimized to improve ... Read More

Feed: SAS Blogs. Author: Suneel Grover. In February, SAS was recognized as a Leader in the 2020 Gartner Magic Quadrant for Data Science & Machine Learning Platforms report. SAS is the only vendor to be a leader in this report for all seven years of its existence. According to us, the topic of the research is at the heart of what SAS does, as well as representing the backbone of what differentiates SAS Customer Intelligence 360. Wait a minute. What does this have to do with marketing technologies?  Allow me to focus your thinking. Image 1: What do we really ... Read More

Feed: Microsoft Azure Blog. Author: Sam George. IoT is reaching mainstream adoption across businesses in all market segments. Our vision is to enable Azure to be the world’s computer, giving businesses real-time visibility into every aspect of their operations, assets, and products. Businesses are harnessing signals from IoT devices of all shapes and sizes, from the very smallest microcontroller units (MCUs) to very capable microprocessor units (MPUs). This presents a great opportunity for collaboration between semiconductor manufacturers with extensive expertise in MCUs/MPUs and Azure IoT, an industry leader in IoT. It has been nearly one year since we acquired Express ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  An interesting documentary about the earliest days of AI/ML and my alternate take on how we should really be describing the development of our profession to the newly initiated. What could be more natural in these days of the Corona Virus than binge watching great videos.  I was intrigued by a recent offer from Futurology who has sponsored “The History of Artificial Intelligence” on YouTube for free viewing.  The two-and-a-half-hour video is described as "the culmination of documentaries that cover the history and origins of computing-based artificial intelligence." ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: kevin-oliver; Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of  confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible.Databases should be both powered by AI and built for AI, meaning they use embedded AI capabilities to improve their day-to-day functionality (powered by AI), while also being able to support AI initiatives throughout the entire business (built for AI). For example, ... Read More

Feed: Radar. Author: Peter Skomoroch and Mike Loukides. Edit note: The increasing push to adopt AI into product, across many industries, puts the intersection of AI and product management into sharp focus. Challenges abound: non-deterministic outcomes, uncertainty (schedule, accuracy, relevance), opacity (models can be difficult to understand and explain), fairness issues, and other factors make AI a difficult sell to decision-makers and upper management. Here, Pete Skomoroch and Mike Loukides layout, in detail and with helpful supporting examples, what makes AI different, how to address those differences, and how product managers can better align their efforts in pragmatic support of ... Read More

Feed: Blog – Hazelcast. Author: Vladimir Schreiner. Tech conferences and meetups have been canceled or postponed across the world. To make the situation a little bit more pleasing for everybody who misses them, Hazelcast has started a series of virtual tech meetups. Please join us on Thursdays, starting April 2nd. Always at 3:30pm CET/ 7:30am PDT / 10:30am EDT / 2:30pm GMT. The list of topics: Streaming in the world of legacy applications (Vladimir Schreiner) Date: Thursday, April 2, 2020 Join: https://hazelcast.com/resources/tech-talk-streaming-in-the-world-of-legacy-applications/ A practical introduction to CDC (Change Data Capture). Architecture, trade-offs, tooling, and demos. There are common themes when ... Read More