Tag: datasets

Feed: Featured Blog Posts - Data Science Central. Author: leonardo mattes. Recommender systems are applied in a variety of industries such as e-commerce, streaming services and others. There are two major techniques used in Recommender systems,  collaborative filtering and Content-based filtering. This article presents five  “Jupyter” NoteBooks which construct a large scale recommender system based on a collaborative filter using  Spark FrameWork SVD, and another using Amazon Sage Maker  AutoEncode. The dataset used has more than  28 million user ratings. In this article the  final results of the two techniques are shown and compared and Spark SVD brings better results.  ... Read More

Feed: AWS Big Data Blog. Data lakes are an increasingly popular way to create a single repository to store and analyze both structured and unstructured data. AWS Lake Formation makes it easy for you to set up, secure, and manage data lakes. This post walks you through the creation and exploration of a data lake using Lake Formation:Creating the data lake o  Adding data to your data lake o  Creating catalog databases o  Adding tables from Amazon S3 to catalog databases Editing and adding metadata within the catalog o  Editing standard metadata o  Adding custom metadata Prerequisites For this post, ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. This blog post is an excerpt of my ebook Modern R with the tidyverse that you can read for freehere.This is taken from Chapter 8, in which I discuss advanced functional programming methods formodeling. As written just above (note: as written above in the book), map() simply applies a functionto a list of inputs, and in the previoussection we mapped ggplot() to generate many plots at once. This approach can also be used tomap any modeling functions, for instance lm() to a list of datasets. For instance, suppose that you wish to perform ... Read More

Feed: R-bloggers. Author: AbdulMajedRaja RS. Last week, We talked all about Artificial Intelligence (also Artifical Stupidity) which led me to think about the foundation of Data Science that's the Data itself. I think, Data is the least appreciated entity in the Data Science Value chain. You might agree with me, If you do Data Science outside Competitive Platforms like Kaggle where Data given to you is what most of the Data Scientists dream about in their jobs. Data Foundation "AI God fathers" have a good fan following but many of us know Fei-Fei Li whose (with her team)contribution of building ... Read More

Feed: R-bloggers. Author: Business Science. [This article was first published on business-science.io, 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. Wrangling Big Data is one of the best features of the R programming language, which boasts a Big Data Ecosystem that contains fast in-memory tools (e.g. data.table) and distributed computational tools (sparklyr). With the NEW dtplyr package, data scientists with dplyr experience gain the benefits of data.table backend. We saw a 3X speed ... Read More

Feed: Recent Announcements. Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets and supports the popular graph models Property Graph and W3C's RDF. Now you can create Neptune instances in AWS GovCloud (US-West) to build applications using Apache TinkerPop Gremlin or SPARQL queries that efficiently navigate highly connected datasets. You can use Amazon Neptune in the following AWS regions: US East (N. Virginia, Ohio), US West (Oregon), AWS GovCloud (US-West), Europe (Frankfurt, Ireland, London, Stockholm), and Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Tokyo) ... Read More

Feed: Recent Announcements. SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data labeled by humans so that the service learns to label data independently ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Introduction The availability of large quantities of freely available data is revolutionizing the world of ecological research. Open data maximizes the opportunities to perform comparative analyses and meta-analyses. Such synthesis efforts will increasingly exploit “population data”, which we define here as time series of population abundance. Such population data plays a central role in testing ecological theory and guiding management decisions. One of the richest sources of open access population data is the USA Long Term Ecological Research (LTER) Network. However, LTER data presents the drawback common to all ecological ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Our August release has another hotly anticipated feature from the Microsoft Business Application Summit, grouping. Grouping in reports, similar to PowerPoint’s grouping, lets you easily organize groups of visuals to move and resize them as a set. This month’s release also has some updates to our newest features, such as an icon set picker for our newly added icons conditional formatting and measure support for key influencers. As a reminder, you’re now downloading a single .exe file that has all the languages wrapped into it. The old .msi installation ... Read More

Feed: R-bloggers. Author: R on Alan Yeung. [This article was first published on R on Alan Yeung, 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. I created my first ever R package and got it released onto CRAN in March 2019. It’s taken me a while to get round to actually writing about this which tells me that despite many years of trying to overcome procrastination, I’m obviously still not there! The package ... Read More