Tag: Classification

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: R-bloggers. Author: Chris Baker. Why care about patents? 1. Patents play a critical role in incentivizing innovation, withoutwhich we wouldn't have much of the technology we rely on everyday What does your iPhone, Google's PageRank algorithm, and a buttersubstitute called Smart Balance all have in common? …They all probably wouldn't be here if not for patents. A patentprovides its owner with the ability to make money off of something thatthey invented, without having to worry about someone else copying theirtechnology. Think Apple would spend millions of dollars developing theiPhone if Samsung could just come along and rip itoff?Probably not ... Read More

Feed: SAS Blogs. Author: Wayne Thompson. In my 25 years at SAS, I‘ve noticed the continued use of important algorithms, such as logistic regression and decision trees, which I’m sure will continue to be steady staples for data scientists. After all, they’re easy-to-use, interpretable algorithms. However, they’re not always the most accurate and stable classifiers. To overcome that challenge, the data science community continues to look for the next, best multi-use algorithm. How hard could it be to create an algorithm that automatically understands key patterns and signals in your data? Deep learning is the current rage in the machine learning ... 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: R-bloggers. Author: business-science.io - Articles. Employee turnvover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques. First, we’ll use the h2o package’s new FREE automatic machine learning algorithm, h2o.automl(), to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amelia Matteson. This article was written by Dan Shewan. If science-fiction movies have taught us anything, it’s that the future is a bleak and terrifying dystopia ruled by murderous sentient robots. Fortunately, only one of these things is true – but that could soon change, as the doomsayers are so fond of telling us.  Image via Abdul Rahid Artificial intelligence and machine learning are among the most significant technological developments in recent history. Few fields promise to “disrupt” (to borrow a favored term) life as we know it quite like machine learning, ... 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

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Cross-validation is a technique used to assess the accuracy of a predictive model, based on training set data. It splits the training sets into  test and control sets. The test sets are used to fine-tune the model to increase performance (better classification rate or reduced errors in prediction) and the control sets are used to simulate how the model would perform outside the training set. The control and test sets must be carefully chosen for this method to make sense. This resource is part of a series on specific topics related ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Ahamed Meeran. When delving into the world of machine learning (ML), choosing one framework from many alternatives can be an intimidating task. You might already be familiar with the names, but it’s useful to evaluate the options during the decision-making process. There are different frameworks, libraries, applications, toolkits, and datasets in the machine learning world that can be very confusing, especially if you’re a beginner. Being accustomed to the popular ML frameworks is necessary when it comes to choosing one to build your application. This is why we compiled ... Read More

Feed: R-bloggers. Author: Quantide. As you know, R changes very quickly.  So, with the same speed, we need to update our R courses, replace obsolete things, include recent R functionalities, keep into account the new frontiers that R has reached.  We have just finished a global renewal of all our R live courses, just in time for the Autumn term. Here info, dates and topics: If you want an insight of a specific course or to book a seat, follow the link below. General information All our classes are R live courses of two days each. They offer various levels ... Read More