Tag: Anaconda

Feed: R-bloggers. Author: Learning Machines. It has been an old dream to teach a computer to see, i.e. to hold something in front of a camera and let the computer tell you what it sees. For decades it has been exactly that: a dream – because we as human beings are able to see, we just don’t know how we do it, let alone be precise enough to put it into algorithmic form. Enter machine learning! As we have seen in Understanding the Magic of Neural Networks we can use neural networks for that. We have to show the network ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: clarinda-mascarenhas; Do you remember when the IBM Deep Blue computer became the first machine to beat the reigning chess champion Garry Kasparov in a six-game match? That was considered AI a couple of decades ago, when scientists viewed chess as a meter stick for AI because it was “a game that required strategy, foresight, logic—all sorts of qualities that make up human intelligence.”Since then, advancements in AI have spanned across varied industries and functions. Increases in capabilities for computer processing, power, and storage have contributed vastly to AI development, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. I recently came across an interesting account by a practical data scientist on how to munge 25 TB of data. What caught my eye at first was the article's title: "Using AWK and R to parse 25tb". I'm a big R user now and made a living with AWK 30 years ago as a budding data analyst. I also empathized with the author's recountings of his painful but steady education on working with that volume of data: "I didn’t fail a thousand times, I just discovered a thousand ways not ... Read More

Feed: SAS Blogs. Author: Ajmal Farzam. Recent updates to SAS Grid Manager introduced many interesting new features, including the ability to handle more diverse workloads. In this post, we'll take a look at the steps required to get your SAS Grid Manager environment set up accept jobs from outside of traditional SAS clients. We'll demonstrate the process of submitting Python code for execution in the SAS Grid. Preparing your SAS Grid Obviously, we need a SAS Grid Manager (SAS 9.4 Maintenance 6 or later) environment to be installed and configured. Once the grid is deployed, there's not a whole lot ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. Despite the consuming controversy surrounding his presidency, POTUS 45 has been able to secure solid ratings on the performance of the economy over his so-far 30-month administration. And he certainly isn't bashful about taking credit for the successes, opining loudly and often that his tax cuts and de-regulation initiatives have significantly goosed the economy. 45 has a point, sort of. Job growth has been steady, and the stock market has mostly prospered under his watch, though not as much as he's claimed -- and not as much as it ... Read More

Feed: R-bloggers. Author: data technik. [This article was first published on R – data technik, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. There are a variety of data science courses online, but which one is the best? Find out the pros and cons of each! Coursera, EdX, etc These MOOCs have been around for several years now and continue to grow. But are they really the best option for learning online? Pros: ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Damian Widera. I have been frequently asked about the tools for the Machine Learnign projects There are lot of them on the market so in my newest post you will find my view on them. I would like to start my first Machine Learning project. But I do not have tools. What should I do? What are the tools I could use? I will give you some hints and advices based on the toolbox I use. Of course there are more great tools but you should pick the ones you like ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. I enjoy data prep munging for analyses with computational platforms such as R, Python-Pandas, Julia, Apache Spark, and even relational databases. The wrangling cycle provides the opportunity to get a feel for and preliminarily explore data that are to be later analyzed/modeled. A critical task I prefer handling in computation over database is data loading. This is because databases generally demand the table be created before records are inserted, while computational platforms can create/load data structures simultaneously, inferring attribute data types on the fly (these datatypes can also be ... Read More

Feed: R-bloggers. Author: ntguardian. This article is also available in PDF form. A while back someone posted on Reddit about the grading policies of their academic department. Specifically, the department chair made a statement claiming that grades should be Normally distributed with a C average. I responded, claiming that no statistician would ever take the idea that grades follow a Normal distribution seriously. Some asked for context, and I wrote a long response explaining my position. I repeat that argument here, and also give some R code demonstrations showing what curving grades does. A cheap shot would be to say ... Read More

Feed: R-bloggers. Author: John Mount. A point that differs from our experience struck us in the recent note: A development environment specifically tailored to the data science sector on the level of RStudio, for example, does not (yet) exist. “What’s the Best Statistical Software? A Comparison of R, Python, SAS, SPSS and STATA” Amit Ghosh Actually, Python has a large number of very capable integrated development environments, some of which are specifically tailored for data science. Please read on for a small list of tools, and my recommendations for a specific data science in Python toolchain. Off the top of ... Read More