Category: Featured

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations.  We’ll describe why this one is different from the first three and why the CEO needs the direct help of data scientists to make this happen.   If you’re a CEO or any other flavor of top executive leading a large company (or if you’re a data scientists trying to help one) then the mission to create continuous improvement is obvious.  Ultimately you probably think about this in terms of EBITDA or ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar.     In this post, we explore some broad guidelines for selecting machine learning models   The overall steps for Machine Learning/Deep Learning are: Collect data Check for anomalies, missing data and clean the data Perform statistical analysis and initial visualization Build models Check the accuracy Present the results   Machine learning tasks can be classified into Supervised learning Unsupervised learning Semi-supervised learning Reinforcement learning   PS – in this document – we do not focus on the last two   Below are some approaches on choosing a model ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vik Kumar. Given the touting of recent analytic and machine learning results in healthcare, why haven't doctors been replaced by computers yet? The truth is that there are many obstacles that stand in the way of implementing  analytics in healthcare. Ethical issues introduced by this technology are also fiercely debated and must be considered. Finally, while obstacles imply a possibility of being overcome, there are also limitations to this technology, or aspects that likely will not be solved anytime soon. Let's discuss all three of these things in this section. What ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: L.V.. This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural network. What are the advantages? I know that training a network when ReLU is used would be faster, and it is more biological inspired, what are the other advantages? (That is, any disadvantages of using sigmoid)? Below is the best answer. Advantage: Sigmoid: not blowing up activation Relu : not vanishing gradient Relu : More computationally efficient to compute than Sigmoid ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This article was posted by Dean Attali. Dean is currently an R-Shiny consultant. Shiny is a package from RStudio that can be used to build interactive web pages with R. While that may sound scary because of the words “web pages”, it’s geared to R users who have 0 experience with web development, and you do not need to know any HTML/CSS/JavaScript. You can do quite a lot with Shiny: think of it as an easy way to make an interactive web page, and that web page can seamlessly interact with ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Pedro URIA RECIO. Greek Philosophers Busts, College of Arts & Sciences, Miami University Big data analytics raises a number of ethical issues, especially as companies begin monetizing their data externally for purposes different from those for which the data was initially collected. The scale and ease with which analytics can be conducted today completely changes the ethical framework. We can now do things that were impossible a few years ago, and existing ethical and legal frameworks cannot prescribe what we should do. While there is still no black or white, experts ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. Announcement Verizon—Solutions Engineers (Analysts) - Las Colinas, TX & Cary, NCVerizon is looking for Analysts who can use their technical and sales skills to help in the development and implementation of out of the box product solutions. You'll provide provisioning and testing support, drive internal process management, and provide post-sales support for tech migration. Join the team that's enabling customers to work ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: steve miller. I've spent time over the last few months attempting to enhance my skills in the statistical sub-field of causal inference. Overly simplified, causal inference comprises a series of methodologies and techniques to assist analysts in making the jump from association or correlation to cause and effect. How can one progress from noting a correlation between factors X and Y to making a sound conclusion that X causes Y? For example, the association between X and Y could arise from X causing Y, Y causing X, or both X and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a labelled dataset. This means we already have data from which to develop models using algorithms such as Linear Regression, Logistic Regression, and others. With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features be. Unsupervised learning, on the other hand, doesn’t have a labelled dataset, but still, we ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. By Ajit Jaokar and Cheuk Ting Ho. Version One: Release date: Oct 24. Exclusively on Data Science Central with free access. Introduction Enterprise AI: An applications perspective takes a use case driven approach to understanding the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a simple and practical roadmap based on application use cases for AI in Enterprises. The authors (Ajit Jaokar and Cheuk Ting Ho) are data scientists and AI researchers who have deployed AI applications for Enterprise domains. The book is ... Read More