Feed: R-bloggers. Author: matloff. The above title was the title of my talk this evening at our Bay Area R Users Group. I had been asked to talk about my new book, and I presented four of the myths that are dispelled in the book. Hadley also gave an interesting talk, “An introduction to tidy evaluation,” involving some library functions that are aimed at writing clearer, more readable R. The talk came complete with audience participation, very engaging and informative. The venue was GRAIL, a highly-impressive startup. We will be hearing a lot more about this company, I am sure ... Read More

Feed: R-bloggers. Author: Tim Bock. Infographics, dashboards, and reports often need to highlight or visualize a single number. But how do you highlight a single number so that it has an impact and looks good? It can be a big challenge to make a lonely, single number look great. In this post, I show 12 different ways of representing a single number. Most of these visualizations have been created automatically using R. When to create a visualization to represent a single number There are a number of situations in which it can be advantageous to create a visualization to represent ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Classifying text content with the Natural Language API Tuesday, September 19, 2017 By Sara Robinson, Developer Advocate If you work in the media industry, chances are you’ve spent more hours than you’d like manually tagging text content like blogposts, news articles or marketing copy. With the Natural Language API, you can now tag all of this content with a single API call. Using the new classify_text endpoint, the Natural Language API will return a content category ... Read More

Feed: Planet PostgreSQL. SQL extract provides access to the components of temporal data types—i.e. date, time, timestamp, and interval.SQL extract uses the keyword from to separate the field name from the value.EXTRACT( FROM )The field names are SQL keywords too—you must not put them in double or single quotes.SQL extract returns an exact numeric value. For second, it also includes fractions. The following table lists the extract fields defined by the SQL standard.Meaningextract fieldYearYEARMonthMONTHDay of monthDAY24 hourHOURMinuteMINUTESeconds (including fractions)SECONDTime zone hourTIMEZONE_HOURTime zone minuteTIMEZONE_MINUTERelated FeaturesExtract can only get single fields. To extract the full date (year, month, day) or time (hour, ... Read More

Feed: Planet PostgreSQL. In our last blog post, set_user: Installation and Set-Up, we introduced you to the set_user component, installed the extension in a database, created a new user, and granted it set_user function execution privileges. If you recall, the set_user documentation states the main goal is to: grant the EXECUTE privilege to the set_user() and/or set_user_u() function to otherwise unprivileged postgres users. These users can then transition to other roles, possibly escalating themselves to superuser through use of set_user_u(), when needed to perform specific actions. In an upcoming post we will address the set_user function and what it allows ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jean-Cyril Schutterle. Even just five years back, Artificial Intelligence (AI) was still the stuff of science fiction, confined to research labs and tech giants’ showcases. It was pretty similar to the auto show concept car – there to be admired but not to be touched. Today, though, AI is everywhere. Whether it’s virtual assistants scheduling our meetings, facial recognition software or increasingly autonomous cars, AI is making itself felt in all our private and professional lives. One thing is certain – AI is here to stay. But quite what its impact ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Chirag Shivalker. Drones flying in the skies to deliver packages to customers, is how technology based on data and analytics is likely to impact retail industry and consumers both – in near future. New ways and means of understanding the customers are emerging and both, online and offline retailers are embracing this data first strategy. These retailers are trying their level best to match customers to products and services. Retail is increasingly becoming a data driven business and is going digital creating many more data capture opportunities. With every click, tap ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Manu Jeevan. Data science has gathered a lot of steam in the past few years, and most companies now acknowledge the integral role data plays in driving business decisions. Python, along with R, is one of the most handy tools in a data scientist’s arsenal. It’s also one of the simplest computer languages to learn and use, primarily because most concepts can be expressed in fewer lines of code in Python, than in other languages. Hence, beginners venturing out into the field of data science should definitely familiarise themselves ... Read More

Feed: What's New. Amazon EC2 Spot now allows Amazon EBS-backed instances to be stopped in the event of interruption, instead of being terminated when capacity is no longer available at your preferred price. Spot can then fulfill your request by restarting instances from a stopped state when capacity is available within your price and time requirements. To use this new feature, choose “stop” instead of “terminate” as the interruption behavior when submitting a persistent Spot request. When you choose “stop”, Spot will shut down your instance upon interruption. The EBS root device and attached EBS volumes are saved, and their ... Read More

Feed: Planet big data. Author: Ronald van Loon. “Data will talk to you if you’re willing to listen”— Jim Bergeson. Few can dispute that. However, the challenge comes when data transforms into bundles and stacks of unorganized and unstructured data sets. The challenge comes with listening to big data and making sense of what it says. With big data, the conversing data becomes loud and noisy. You don’t hear the voice; you hear the cacophony. This is where organizations struggle. And, amidst a struggle, you look up to the leaders to see how they are rising to the challenge. You ... Read More