Tag: constraints

Feed: SAS Blogs. Author: Phil Weiss. There are many compelling reasons existing SAS users might want to start integrating SAS Viya into their SAS9 programs and applications.  For me, it comes down to ease-of-use, speed, and faster time-to-value.  With the ability to traverse the (necessarily iterative) analytics lifecycle faster than before, we are now able to generate output quicker – better supporting vital decision-making in a reduced timeframe.   In addition to the positive impacts this can have on productivity, it can also change the way we look at current business challenges and how we design possible solutions. Earlier this year I ... Read More

Feed: All - O'Reilly Media. Author: Courtney Allen, Bobby Filar, Rich Seymour. Conversation (source: pooch_eire) Join Bobby Filar, Rich Seymour, and other industry experts at the O’Reilly Security Conference in New York, October 29 - November 1. Use code ORM20 to save 20% on your Gold, Silver, or Bronze pass. I recently sat down with Bobby Filar and Rich Seymour, Senior Data Scientists at the Endgame, to discuss the benefits, challenges, and value of using a chatbot interface in modern security operation centers. As you see it, what are some of the most common challenges facing most modern security operations ... Read More

Feed: All - O'Reilly Media. Author: Josh Long, Kenny Bastani. Sky (source: Free-Photos) Registration is now open for the O'Reilly Software Architecture Conference in New York 2018. Sign up now and get the best price. The patterns for how we develop software, both in teams and as individuals, are always evolving. The open source software movement has provided the software industry with somewhat of a Cambrian explosion of tools, frameworks, platforms, and operating systems—all with an increasing focus on flexibility and automation. A majority of today’s most popular open source tools focus on features that give software teams the ability ... Read More

Feed: IDERA Community Blog; Author: Peter V.; IDERA released a new free tool, SQL Data Profiler, designed to provide quick visibility into data patterns contained in SQL Server databases. Its intuitive user interface simplifies exploring patterns in data by streamlining and automating the process. Quickly view a summary of the data in selected database tables and columns, and receive recommendations based on the data in the columns.With the free tool, profile data in tables (optionally by subsets of data types), adjust profiling thresholds to customize the analysis, display a summary of data in a selected table and its columns, receive ... Read More

Feed: Planet MySQL; Author: MariaDB; MariaDB Server 10.3.2 alpha was released this week. For InnoDB, the new features coming in MariaDB Server 10.3 include CREATE SEQUENCE which is a logical continuation of the Persistent AUTO_INCREMENT that appeared in MariaDB Server 10.2. Perhaps one of the most important InnoDB changes coming in MariaDB Server 10.3 is Instant ADD COLUMN for InnoDB tables. The design was brainstormed in April by engineers from MariaDB Corporation, Alibaba and Tencent. A prototype was developed by Vin Chen (陈福荣) from the Tencent Game DBA Team. What is so special about this? Normally, adding a column to a ... Read More

Feed: R-bloggers. Author: Gavin L. Simpson. One of the really appealing features of the mgcv package for fitting GAMs is the functionality it exposes for fitting quite complex models, models that lie well beyond what many of us may have learned about what GAMs can do. One of those features that I use a lot is the ability to model the smooth effects of some covariate (x) in the different levels of a factor. Having estimated a separate smoother for each level of the factor, the obvious question is, which smooths are different? In this post I’ll take a look ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Renata Melnyk. Showcasing Innovative Solutions Focusing on Governance, Risk & Compliance (GRC) The Financial Services industry is highly regulated, with an increasing need to break the trade-off between compliance and innovation. With the surge in data and new business models, managing security, risk, and compliance have become increasingly complex, driving requirements for enhanced security mechanisms, complex financial calculations, and advanced analytics to simulate evolving market conditions. Faced with the limitations of their on-premises agility, storage, and computing capabilities, financial institutions of all sizes—FinTech startups, hedge funds and asset managers, insurers, commercial banks, and ... Read More

Feed: R-bloggers. Author: Andy. A little over a year ago, we decided to propose a data visualization course at the first-year level. We had been thinking about this for awhile, but never had the time to teach it given the scheduling constraints we had. When one of the other departments on campus was shut down and the faculty merged in with other departments, we felt that the time was ripe to make this proposal. Course description of the EPsy 1261 data visualization course In putting together the proposal, we knew that: The course would be primarily composed of social science ... Read More

Feed: All - O'Reilly Media. Author: Manu Jeevan, Suresh Rathnaraj. Letters (source: Pixabay) Download the full notebook used in this tutorial. Sentiment analysis is a common task in the data science world. A company may want to monitor mentions of its products on Twitter or Facebook in order to detect (and resolve) customer satisfaction issues proactively. But human language is rich and complex; there are myriad ways to feel positive or negative emotion about something—and for each of those feelings there are, in turn, many ways to express that feeling. Among machine learning techniques for sentiment analysis, deep learning has ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. You will find here nine interesting topics that you won't learn in college classes. Most have interesting applications in business and elsewhere.Thet are not especially difficult, and I explain them in simple English. Yet they are not part of the traditional statistical curriculum, and even many data scientists with a PhD degree have not heard about some of these concepts. 1. Random walks in one, two and three dimensions This is a well known model, used as a base stochastic process to model the logarithm of stock prices, yet ... Read More