Tag: datasets

Feed: R-bloggers. Author: The Exactness of Mind. The visualization of complex datasets is of essential importance in communicating your data products.Beyond pie charts, histograms, line graphs and other common forms ofvisual communication begins the reign of data sets that encompass toomuch information to be easily captured by these simple data displays. Atypical context that abounds with complexity is found in the areas oftext mining, natural language processing, and cognitive computing ingeneral; such a complex context for datapresentation is pervasive in an attempt to build a visual interface forproducts like semantic search engines or recommendation engines. Forexample, statistical models like LDA ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Basier Aziz. Earlier today, Cloudera proudly released the Cloudera Connector for Tableau. The availability of this connector serves both Tableau users who are looking to expand the volume of datasets they manipulate and Hadoop users who want to enable analysts like Tableau users to make the data within Hadoop more meaningful. Enterprises can now extract the full value of big data and allow a new class of power users to interact with Hadoop data in ways they priorly could not. The Cloudera Connector for Tableau is a free ODBC Driver that enables Tableau ... Read More

Feed: Neo4j Graph Database. Author: Bryce Merkl Sasaki, Aspiring Graphista. By Ryan Boyd, Developer Relations Neo4j | July 28, 2017  When we announced the new Neo4j Sandbox back in March, we enabled developers to learn Neo4j while exploring data and interactive guides for four use cases: Recommendations Engines, TrumpWorld, US Congress (Legis-Graph) and Twitter analysis.We’ve seen lots of developers super excited about how easy the Sandbox enables them to learn Neo4j and graph database.Over the last few months, we’ve since launched 13 more guides and datasets. Some of these use cases are public: Network and IT Management and the Panama ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. I was recently confronted to a situation that required going from a long dataset to a wide dataset, but with a small twist: there were two datasets, which I had to merge into one. You might wonder what kinda crappy twist that is, right? Well, let’s take a look at the data:data1; data2 ## # A tibble: 20 x 4 ## country date variable_1 value ## ## 1 lu 01/01/2005 maybe 22 ## 2 lu 01/07/2005 maybe 13 ## 3 lu 01/01/2006 maybe 40 ## 4 lu 01/07/2006 maybe 25 ## 5 lu ... Read More

Feed: R-bloggers. Author: R Views. Two hundred and thirty-eight new packages were added to CRAN in June. Below are my picks for the “Top 40”, organized into six categories: Biostatistics, Data, Machine Learning, Miscellaneous, Statistics and Utilities. Some packages, including geofacet and secret, already seem to be gaining traction. Biostatistics BIGL v1.0.1: Implements response surface methods for drug synergy analysis, including generalized and classical Loewe formulations and the Highest Single Agent methodology. There are vignettes on Methodology and Synergy Analysis. colorpatch v0.1.2: Provides functions to show color patches for encoding fold changes (e.g., log ratios) and confidence values within a ... Read More

Feed: Hadoop – Cloudera Engineering Blog. Author: Cy Jervis. In late 2016, Ben Lorica of O’Reilly Media declared that “2017 will be the year the data science and big data community engage with AI technologies.” Deep learning on GPUs has pervaded universities and research organizations prior to 2017, but distributed deep learning on CPUs is now beginning to gain widespread adoption in a diverse set of companies and domains. While GPUs provide top-of-the-line performance in numerical computing, CPUs are also becoming more efficient and much of today’s existing hardware already has CPU computing power available in bulk. The emergence of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. On Saturday February 11, 2017, my daughter and her friend were driving from a basketball game in Chico back to our home in Palo Alto. Unfortunately, due to several days of heavier than normal rains, the Oroville Dam spillway broke and flooded many of the roads between Chico and Palo Alto. My daughter’s smartphone mapping application wasn’t aware of the sudden danger, and proceeded to send her into the heart of the flooding (see Figure 1).Figure 1: Oroville Dam Flooding on Saturday, February 11, 2017 Fortunately, courtesy of some heads up ... Read More

Feed: Hadoop – Cloudera Engineering Blog. Author: Justin Kestelyn. Cost-per-performance, not cost-per-capacity, turns out to be the better metric for evaluating the true value of SSDs. In the Big Data ecosystem, solid-state drives (SSDs) are increasingly considered a viable, higher-performance alternative to rotational hard-disk drives (HDDs). However, few results from actual testing are available to the public. Recently, Cloudera engineers did such a study based on a combination of SSDs and HDDs, with the goal of determining to what extent SSDs accelerate different MapReduce workloads, as well as the optimal configurations for getting the best performance on each workload. We ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. Big data has taken the tech world by storm in the last years, as new applications are developed every day, ranging from retail and advertising to healthcare and politics. The impact of big data analytics is now spilling over novel fields, such as sports and online gaming. Could the use of big data signal the end of betting, as powerful data analytics might be employed to accurately predict the results of all sorts of games, leaving little room for hopeful optimists to make their wagers? Never mind ... 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 Monday, July 24, 2017 By Lak Lakshmanan, Tech Lead, Data and ML Professional Services​ When I worked at a weather research laboratory a few years ago, I was often asked why my colleagues and I seemed to know so much about computing. The answer, of course, is that computers are among the most powerful tools a scientist has. That said, staying informed about storage area networks, worker nodes, and other IT-related esoterica is ... Read More