Tag: SAS

Feed: Latest imported feed items on Analytics Matters. In the second instalment of this blog, we introduced machine learning as a subfield of artificial intelligence (AI) that is concerned with methods and algorithms that allow machines to improve themselves and to learn from the past. Machine learning is often concerned with making so-called “supervised predictions,” or learning from a training set of historical data where objects or outcomes are known and are labelled. Once trained, our machine or “intelligent agent” is enabled to differentiate between, say, a cat and a mat. The currently much-hyped “deep learning” is shorthand for the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. A Practical Implementation Guide to Predictive Data Analytics Using Python Covers basic to advanced topics in an easy step-oriented manner Concise on theory, strong focus on practical and hands-on approach Explores advanced topics, such as Hyper-parameter tuning, deep natural language processing, neural network and deep learning Describes state-of-art best practices for model tuning for better model accuracy About The Book: This book is your practical guide towards novice to master in machine learning with Python in six steps. The six steps path has been designed based on the “Six ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Christophe Bisciglia. Disclaimer: Cloudera no longer approves of the recommendations in this post. Please see this documentation for configuration recommendations. One of the things we get a lot of questions about is how to make Hadoop highly available. There is still a lot of work to be done on this front, but we wanted to take a moment and share the best practices from one of our customers. Check out what Paul George has to say about how they keep thier NameNode up at ContextWeb. – Christophe Here at ContextWeb, our Apache Hadoop ... Read More

Feed: Planet big data. Author: David Smith. For the past four years, recruiting firm Burtch Works has conducted a simple survey of data scientists with just one question: "Which do you prefer to use — SAS, R or Python". The results for this year's survey of 1,046 respondents are in: R: 40% (2016: 42%) SAS: 34% (2016: 39%) Python: 26% (2016: 20%) Compared to last year's results, Python has gained 6 percentage points, mainly at the expense of SAS. (2016 results do not add to 100% due to rounding.) The trend for the commercial tool compared to the open-source tools ... Read More

Feed: Cloudera Engineering Blog » CDH. Author: Bala Venkatrao. Learn the new features and enhancements in Cloudera Manager 5, including support for YARN, management of third-party apps and frameworks, and more. The response to the Oct. 2013 release of Cloudera Enterprise 5 Beta has been overwhelming, and Cloudera is busily working closely with several customers to incorporate their feedback. Cloudera Manager 5 is a key part of this release, and in this post, I will provide a brief overview of some key features in Beta 1 as well as introduce some of those planned for Beta 2 (to be released ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Learn Python in 3 days : Step by Step Guide  Creating Your First Machine Learning Classifier Model in Sklearn  Some NLP: Probabilistic Context Free Grammar (PCFG) and CKY Parsing in Python  How to automatically create Base Line Estimators using scikit learn  A Guide for Applying Machine Learning Techniques in Finance  Four Weird Mathematical Objects  Solving Simple Probability ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. 1. Getting Started with Python Python 2.7 vs 3.6Google yields thousands of articles on this topic. Some bloggers opposed and some in favor of 2.7. If you filter your search criteria and look for only recent articles (late 2016 onwards), you would see majority of bloggers are in favor of Python 3.6. See the following reasons to support Python 3.6.1. The official end date for the Python 2.7 is year 2020. Afterward there would be no support from community. It does not make any sense to learn 2.7 if you learn ... Read More

Feed: Latest imported feed items on Analytics Matters. In the third installment of this blog, we told you that “the analytic discovery process has more in common with research and development (R&D) than with software engineering.” But – symmetrically, if confusingly – what comes after the discovery process typically has more in common with software engineering than with R&D. The objective of our analytic project will very often be to produce a predictive model that we can use, for example, to predict the level of demand for different products next week, to understand which customers are most at risk of ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Tom Hastain. The San Jose DataWorks Summit (June 13-15) is next week! We have an impressive lineupof keynote and breakout speakers. This year our Enterprise Adoption Track will feature Chris Dingle, Sr. Director, Customer Intelligence, at Rogers Communications. Rogers Communications is one of the largest Canadian communications and media companies. Headquartered in Toronto, Rogers is data-driven and determined to understand and improve its customer experience. Rogers uses Apache NiFi to help manage the flow of information between its disparate data sources, and to gain analytical insights from that information, in near real-time. Join Chris on ... Read More

Feed: Cloudera Engineering Blog » CDH. Author: Cy Jervis. Technology-focused discussions about genomics usually highlight the huge growth in DNA sequencing since the beginning of the century, growth that has outpaced Moore’s law and resulted in the $1000 genome. However, future growth is projected to be even more dramatic. In the paper “Big Data: Astronomical or Genomical?”, the authors say it is estimated that “between 100 million and as many as 2 billion human genomes could be sequenced by 2025”, requiring between 2-40 exabytes of storage. (An exabyte is 1000 petabytes.) The storage costs are one thing, but the real ... Read More