Tag: datasets

Feed: Featured Blog Posts - Data Science Central. Author: Zeeshan Usmani. Kaggle is an AirBnB for Data Scientists – this is where they spend their nights and weekends. It’s a crowd-sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science and predictive analytics problems through machine learning. It has over 536,000 active members from 194 countries and it receives close to 150,000 submissions per month. Started from Melbourne, Australia Kaggle moved to Silicon Valley in 2011, raised some 11 million dollars from the likes of Hal Varian (Chief Economist at Google), ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Vinay Shukla. Our customers increasingly leverage Data Science, and Machine Learning to solve complex predictive analytics problem. A few examples of these problems are churn prediction, predictive maintenance, image classification, and entity matching. While everyone wants to predict the future, truly leveraging Data Science for Predictive Analytics remains the domain of a select few. To expand the reach of Data Science, the Modern Data Architecture (MDA) needs to address the following 4 requirements: Enable Apps to consume predictions and become smarter Bring predictive analytics to the IOT Edge Become easier, more accurate & faster ... 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: CDH – Cloudera Engineering Blog. Author: Cy Jervis. Modeling EHR Data in Healthcare In this case study, we take a look at modeling electronic health record (EHR) data with deep learning and Deeplearning4j (DL4J). We draw inspiration from recent research showing that carefully designed neural network architectures can learn effectively from the complex, messy data collected in EHRs. Specifically, we describe how to train an  long short-term memory recurrent neural network (LSTM RNN) to predict in-hospital mortality among patients hospitalized in the intensive care unit (ICU). Of particular note, we show that even for a dataset orders of magnitude ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . This blog post covers the latest updates for Power BI Developers community. Don’t forget to check out the August blog post, if you haven’t done so already. Here’s the complete list of September updates for the Power BI Embedded APIs Clone tile & dashboard RLS for AS on-prem RLS additional properties to dataset Export/Clone PBIX (model and reports) Language configuration Clone Dashboard and Dashboard Tiles As an ISV, we recommend supporting multiple workspaces for your application’s embedded analytics topology. You can accomplish this by creating a main workspace which ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. Many local administrations deal with air pollution through the collection and analysis of air quality data. With AWS, cities can now create a serverless analytics solution using AWS Glue and AWS QuickSight for processing and analyzing a high volume of sensor data. This allows you to start quickly without worrying about servers, virtual machines, or instances, so you can focus on your core business logic to help your organization meet its analytics objectives.You can pick up data from on-premises databases or Amazon Simple Storage Service (Amazon S3) buckets, transform it, and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jasmeet Bhatia. Summary: Performance comparison for the popular Deep Learning frameworks supported by Keras – TensorFlow, CNTK, MXNet and Theano If there are any doubts in regards to the popularity of Keras among the Data Scientist/Engineer community and the mindshare it commands, you just need to look at the support it has been receiving from all major AI and Cloud players. Currently the official Keras release already supports Google's TensorFlow and Microsoft's CNTK deep learning libraries besides supporting other popular libraries like Theano. Last year Amazon Web Services announced its support ... Read More

Feed: R-bloggers. Author: Euthymios Kasvikis. INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this exciting new part of the data science world. This post includes a full machine learning project that will guide you step by step to create a “template,” which you can use later on other datasets. Before proceeding, please follow our short tutorial.Look at the examples given and try to understand the logic behind them. Then try to solve the exercises below using R and without looking ... Read More

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: MapD Team. Twitter is an excellent way to gain insight into a wide variety of social phenomena. Data can be sliced in many different ways, looking at user, geography or topic/hashtag as well as diving down to the level of individual tweets. In fact, MapD originated when Todd Mostak needed to build a better interactive analysis tool to understand the Arab Spring. Streaming data from Twitter was added later. MapD recently released an open source Tweetmap Demo online showing roughly 390 million tweets. The code is ... Read More

Feed: Microsoft Azure Blog. Author: Anna Roth. To enable developers to build for the intelligent edge, Custom Vision Service from Microsoft Cognitive Services has added mobile model export. Custom Vision Service is a tool for easily training, deploying, and improving custom image classifiers. With just a handful of images per category, you can train your own image classifier in minutes. Today, in addition to hosting your classifiers at a REST endpoint, you can now export models to run offline, starting with export to the CoreML format for iOS 11. Export will allow you to embed your classifier directly in your ... Read More