Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Jonathan Symonds. TLDR: Neural Networks are powerful but complex and opaque tools. Using Topological Data Analysis, we can describe the functioning and learning of a convolutional neural network in a compact and understandable way. The implications of the finding are profound and can accelerate the development of a wide range of applications from self-driving everything to GDPR.Introduction Neural networks have demonstrated a great deal of success in the study of various kinds of data, including images, text, time series, and many others.  One issue that restricts their applicability, however, is the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: lakshmi yarlagadda. Over the past decade, we have seen a shift towards virtualization, a stepping stone to complete cloud utilization. However, even by leveraging virtualization, you still need the appropriate building blocks for a private cloud environment. This involves going beyond simply virtualizingcompute and other central data center subsystems (i.e., network and storage), and requires you to enable flexible APIs in order to automate resource provisioning and orchestration. 1 Open source Some say that OpenStackis the largest open source project ever. It combines computing, networking, and storage subsystems in layers via APIs within ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amit Supe. Digital world is all around us! Disruptive Business Models is the new phenomenon! It means different things (not just internet of things) to different people and businesses. Some industries are traditionally slow in adapting new technologies. For example, AOVC (Asset Oriented Value Chains – Natural Resources, Metals and Chemicals) have not explored digital to it’s full potential. Analytics is one of the key components of this revolution. It it not just about capturing data of business operations but to leverage actionable insights for making intelligent products, enhancing customer experience ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: VAMSI NELLUTLA. If you keep up with the latest trends in the business world, then Data Science is a term that appears frequently nowadays. It is a steadily growing field and newer developments keep occurring as well. Data Science is responsible for multiple benefits for varying business industries. Small and large businesses alike are catching up; discovering high potential for growth using data analytics. Data Science Projects Businesses that seek to improve their solutions for customers by improving their operations, services, and products invest in Data Science projects. It is imperative ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ashok Chilakapati. Michael Nielsen provides a visual demonstration in his web book Neural Networks and Deep Learning that a 1-layer deep neural network can match any function . It is just a matter of the number of neurons to get a prediction that is arbitrarily close – the more the neurons the better the approximation.  There is the Universal Approximation Theorem as well that supplies a rigorous proof of the same.But the known issues with overfitting remain and the obtained network model is only good for the range of the training data. That is, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. In this article by Maxim Lapan,  the author of Deep Reinforcement Learning Hands-On,we are going to discuss about gradients in PyTorch. Gradients support in tensors is one of the major changes in PyTorch 0.4.0. In previous versions, graph tracking and gradients accumulation were done in a separate, very thin class Variable, which worked as a wrapper around the tensor and automatically performed saving of the history of computations in order to be able to backpropagate. Now gradients are a built-in tensor property, which makes the API much cleaner. Gradient ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Interested question posted on Quora recently. Here is my take on this. Just put the next buzz word on your resume when you graduate, maybe AI engineer? I completed my PhD in computational statistics 25 years ago. It was in fact data science (image remote sensing), but under a different name. I changed my job title from statistician to data scientist many years ago, and I may dot it again if needed. There is more and more data to process, so the need will grow, but it will grow ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Gartner’s recently released “Magic Quadrant for Industrial IoT Platforms” outlines how organizations can leverage the Internet of Things (IoT) to drive their digital transformation initiatives. In particular, Gartner believes that “By 2020, on-premises Internet of Things (IoT) platforms coupled with edge computing will account for up to 60% of industrial IoT (IIoT) analytics, up from less than 10% today.”[1] More real-time sensor and device data coupled with more computational power are driving analytics “to the edge”, which will yield new business and operational monetization opportunities for organizations looking to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. We discuss a new approach for selecting features from a large set of features, in an unsupervised machine learning framework. In supervised learning such as linear regression or supervised clustering, it is possible to test the predicting power of a set of features (also called independent variables by statisticians, or predictors) using metrics such as goodness of fit with the response (the dependent variable), for instance using the R-squared coefficient. This makes the process of feature selection rather easy. Here this is not feasible. The context could be pure ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jayesh Bapu Ahire. Credits: Google Images This is the story from time when I was in initial years of my programming career and I was a huge fan of Jetbrains IDE’s (I am still), I was using Windows prominently at that time though I got Mac meanwhile and shifted on MacOS but still my windows laptop was always my first choice! There’s not a thing like I haven’t tried any linux distro in that phase! I tried most of them but on Virtual Box. I tried once to dual boot my windows ... Read More