Tag: machine learning

Feed: MemSQL Blog. Author: Floyd Smith. Bill Vorhies of Data Science Central and Rick Negrin of MemSQL recently delivered a webinar on data lakes and the use of Hadoop in the age of operational machine learning (ML) and artificial intelligence (AI). In this blog post, we summarize some of the key points from the webinar, as a preview for the webinar. You can also view the recorded webinar at any point. Businesses need flexible access to their data to make the best decisions. Unfortunately, the systems in use today impose complexity and structural delays. MemSQL, a fast, fully scalable relational ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Michael Lin. Businesses today compete in a hyper-competitive landscape. Analyzing the past for knowledge in the present is no longer good enough – enterprises must have an eye into the future. One way is to extrapolate predictive insights out of enterprise data. Through analyzing data, retailers can design features and products appealed to a broader or concentrated audience based on trends and purchase patterns, manufacturers can predict maintenance schedule of machinery to avoid production downtime, security operations can catch a hacker before a malicious attempt even takes place, and the use cases go on ... Read More

Feed: SAS Blogs. Author: Snigdha Kotta. As I was waiting to board my flight to Houston, I looked around and noticed a lot of women waiting to board the same flight. Evidenced by their company shirts or the terminal window on their laptop screens, I determined that most of them, like me, were heading to the Grace Hopper Celebration. I knew this was a sure sign that the next few days would be exciting, challenging, and filled with tech talks, career conversations, and professional development workshops. What’s the Grace Hopper Celebration? For those who don’t know, the Grace Hopper Celebration ... Read More

Feed: Microsoft Azure Blog. Author: Tara Jana. This post is co-authored by Anil Kumble, Founder, Spektacom Technologies. While Cricket is an old sport with a dedicated following of fans across the globe, the game has been revolutionized in the 21st century with the advent of Twenty20 format resulting in a massive growth of interest in the game and fan following worldwide. This has led to an increase in competition as well as a desire among professionals and amateurs likewise, to improve the quality of their game. As the popularity of the game increased, innovative methods of improving batting techniques evolved ... Read More

Feed: R-bloggers. Author: Brian Lee Yung Rowe. I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this book is to approach model development and software development holistically to help make science and research more reproducible. The need for such a book arose from observing some of the challenges that I’ve seen teaching graduate courses in natural language processing and machine learning, as well as training my own staff to become effective data scientists. While quantitative reasoning and mathematics are important, often I found that the primary obstacle to good data ... Read More

Feed: Microsoft Azure Blog. Author: Jason R. Shaver. Keeping up with the pace of change in Microsoft Azure can be challenging. Every week there are more than 50 pull requests against the Azure Representational State Transfer (REST) API. Over the past 6 months, we’ve been building the AI-powered extension, Azure Aladdin, to help make using Azure easier. The first interface was a Microsoft docs extension that provided users content recommendations. Today we are excited to offer the next interface to the Aladdin knowledge base, an experimental Azure Command-line interface (CLI) extension that provides insight and examples based on how other ... Read More

Feed: Big Data Made Simple. Author: Peter Davidson. Artificial Intelligence (AI) has gained momentum in every industry over the past few years. Businesses are using it to improve their productivity and performance. Many people believe that by 2030 AI will contribute $15.7 trillion to the global economy. There are lots of great benefits for those businesses who are investing in AI today – mainly in the form of having a competitive advantage. This is something that most executives seemingly understand, but it’s still important to understand its practical uses for your niche. Make better business decisions with AI-based Analytics Hacker ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. PASS Summit v.20 PASS Summit is the largest conference for technical professionals who leverage the Microsoft Data Platform. The 20th summit, which took place in Seattle last week, played host to a number of Azure-related announcements. Harness the future with the ultimate hybrid platform for data and AI Rohan Kumar, Corporate Vice President, Azure Data, gave the Day 1 keynote at PASS Summit v.20. In this post, he provides an overview of his keynote, including how hybrid connects all your data and enables comprehensive AI and analytics. Microsoft’s consistent data platform across on-premises ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases.This blog series is designed to help you better leverage graph analytics to effectively innovate and develop intelligent applications faster.Last week we looked at a variety of use cases for graph analytics, from real-time fraud detection to recommendation engines. This week we’ll delve deeper into a few of the ways that a graph database like Neo4j supports numerous AI use cases.Knowledge GraphsAndrew Ng, ... Read More

Feed: R-bloggers. Author: business-science.io - Articles. There are only two more weeks in the course! This week will extend what you learned from the Expected Value by performing an optimization and sensitivity analysis. The optimization and sensitivity analysis will teach you how to identify the maximum business savings for the overtime problem and see how additional factors change the amount of savings: Threshold Optimization – A method used to maximize expected saving via iteratively calculating savings at various thresholds Sensitivity Analysis – A method used to investigate how sensitive the expected savings is to various parameter values that were created ... Read More