Tag: machine learning

Feed: Big Data Made Simple. Author: Rodney Laws. Maintaining stable finances is a core concern of almost every business, regardless of the size or type, because — unless you happen to be independently wealthy and willing to throw good money after bad — you can’t keep operating once your funds run dry. But it’s often a complicated matter. Payments big and small stack up, economic circumstances shift, and revenue varies. Even if you’re smart and careful, you can still have great difficulty.In recent years, though, the field of big data has moved from an interesting consideration to an influential practical ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: sue-green; Last year, more than 100,000 developers from 156 nations built 2,500+ applications in Call for Code 2018, an IBM initiative to create meaningful change through technology. This year, it's your turn. Join Call for Code 2019 and you’ll have the opportunity to create sustainable software solutions that help people prepare and recover from natural disasters.Call for Code is inspired by a sobering reality: though natural disasters are inevitable, innovative solutions can be hard to come by. But big ideas can create big change. When motivated developers apply innovative, ... Read More

Feed: Blog – Hazelcast. Author: Dan Ortega. Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before in-memory technologies, transactional data was managed as a batch process and analyzed every hour, once a day, etc., depending on the data involved, the bank’s policies for handling data, regulatory and compliance requirements, and so on. While having ... Read More

Feed: Big Data Made Simple. Author: Stephanie Donahole. The world seems to be fueling a dystopian view of what artificial intelligence (AI) can do. However, no machine can ever be imbued with the intelligence of a human; they slavishly follow indefinite program conditions which have already been laid down by a smart programmer. With the increase in technology advancments, Gartner foresees a shift. From stand-alone intelligent things to a collaborative swarm network of AI systems.It shouldn’t come to any surprise that workspaces all across the globe are being reshaped. By disruptive technology day in day out. Moreover, they have the ... Read More

Feed: R-bloggers. Author: Nathan Piccini. Think of this as the one-stop-shop/dictionary/directory for your machine learning algorithms. The algorithms have been sorted into 9 groups: Anomaly Detection, Association Rule Learning, Classification, Clustering, Dimensional Reduction, Ensemble, Neural Networks, Regression, Regularization. In this post, you’ll find 101 machine learning algorithms, including useful infographics to help you know when to use each one (if available). 101 Machine Learning Algorithms Each of the accordian drop downs are embeddable if you want to take them with you. All you have to do is click the little ’embed’ button in the lower left hand corner and copy/paste ... Read More

Feed: Microsoft Azure Blog. Author: Krishna Mamidipaka. Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines for hot-path analytics within a few minutes. Today, at Inspire, we are announcing various new innovations in Stream Analytics that help further reduce time to value for solutions that are powered by real-time insights. These are as follows: Bringing the power of real-time insights to Azure Event Hubs customers Today, we are announcing ... Read More

Feed: R-bloggers. Author: Mirai Solutions. The European R conference will visit Milan in 2020! Mirai Solutions is delighted to actively support and participate in the organization of the event. The European R Users Meeting (eRum) is a biennial conference, taking place in Europe during those years when the useR is held overseas. It is a unique chance for R practitioners to get together, exchange experiences, broaden their knowledge around R and initiate collaborations with like-minded people. After Poznan in 2016, and Budapest in 2018, the 2020 edition will take place in Milan, Italy, through May 27-30, as announced officially by ... Read More

Feed: Neo4j Graph Database Platform. Author: Allison Wu. By Joe Depeau, Senior Pre-Sales Consultant, Neo4j | July 16, 2019Reading time: 1 minute Many players in the financial services industry already rely on Neo4j’s graph database.For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library.In this session, we look specifically at graphs within the financial services industry. We review the types of data typically available within a bank, illustrate the graphs formed from that data, and discuss the use cases those graphs enable and support.Use cases presented include anti-money laundering as well as ... Read More

Feed: R-bloggers. Author: Hadley Wickham. rstudio::conf, the conference for all things R and RStudio, will take place January 29 and 30, 2020 in San Francisco, California. It will be preceded by Training Days on January 27 and 28. Early Bird registration is now open! Conference: Wednesday-Thursday, Jan 29-30 Join me, your host and Chief Scientist of RStudio, for our keynote speakers: Along with 80 other talks in four parallel tracks. As well as RStudio data scientists and engineers, you’ll also hear from and interact with outstanding speakers drawn from the wider R and data science communities. Stay tuned for announcements ... Read More

Feed: Recent Announcements. Customers have been running Windows workloads on AWS for over a decade. We run nearly 2x more Windows Server instances than the next largest cloud provider, according to an IDC report. Our experience running Windows applications has earned our customers’ trust and the number of AWS enterprise customers using Amazon EC2 for Windows Server has grown 5x since 2015. Today, we are excited to announce the AWS Microsoft Workloads Competency for APN Advanced Technology Partners, offering products based on varying phases of a customer’s journey to the AWS Cloud including migration assessment, migration, post-migration operational optimization, enhancement ... Read More