Tag: Deep Learning

Feed: R-bloggers. Author: Nagdev. [This article was first published on R – Hi! I am Nagdev, 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. In last few years, AutoML or automated machine learning as become widely popular among data science community. Big tech giants like Google, Amazon and Microsoft have started offering AutoML tools. There is still a split among data scientists when it comes to AutoML. Some fear that it is going ... Read More

Feed: R-bloggers. Author: Sebastian Heinz. [This article was first published on r-bloggers | STATWORX, 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. Recently, some colleagues and I attended the 2-day COVID-19 hackathon #wirvsvirus, organized by the German government. Thereby, we’ve developed a great application for simulating COVID-19 curves based on estimations of governmental measure effectiveness (FlatCurver). As there are many COVID-related dashboards and visualizations out there, I thought that gathering the underlying data ... Read More

Feed: Clustrix Blog. Author: Saravana Krishnamurthy. SkySQL is the first database-as-a-service (DBaaS) to unlock the full power of MariaDB Platform in the cloud. Engineered for mission-critical applications and enterprise governance, SkySQL cloud database is focused on features which make life better for the developer, the DBA, and the operator — extending powerful enterprise features with unrivaled ease of use and first-in-class innovation.MariaDB Platform for Transactions Whether you need transactional capabilities for dev/test or production, MariaDB Platform for Transactions delivers the robust modern SQL capabilities of MariaDB Enterprise Server either in single-node Standalone configuration, or in a multi-node replicated Primary/Replica topology ... Read More

Feed: SAS Blogs. Author: Mark Frankish. Most organisations that must maintain a physical network have similar challenges in keeping their networks safe and operational. Whether you run an energy distribution network, a telecommunications network, or a road, rail or canal network, you need to keep it clear of obstructions. And one of the biggest culprits tends to be the surrounding vegetation. Historically, network operators have relied on physical inspections, with workers walking along those networks to visually check where maintenance is required. However, the advent of artificial intelligence and machine learning means that we can now analyse other data sources ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Janardhanan PS. Edge computing moves workloads from  centralized locations  to remote locations and it can provide faster response from AI applications.  Edge computing devices are getting deployed increasingly for monitoring and control of real world processes like people tracking, vehicle recognition, pollution monitoring etc.  The data collected at the devices gets transported to centralized cloud servers over data pipelines and are used to train machine learning models. Training models needs lot of computational power and the current strategy is to train centrally and deploy on edge devices for inference. Already deep ... Read More

Feed: Recent Announcements. You can launch the new versions of the Deep Learning Containers on Amazon SageMaker, Amazon Elastic Kubernetes Service (Amazon EKS), self-managed Kubernetes on Amazon EC2, and Amazon Elastic Container Service (Amazon ECS). For a complete list of frameworks, end-of-life announcements, and versions supported by the AWS Deep Learning Containers, see release notes for PyTorch 1.4.0, MXNet 1.6.0, TensorFlow 2.1.0, and TensorFlow 1.15.2.   More details can be found in the AWS marketplace, and a list of available containers can be found in our documentation. Get started quickly with the AWS Deep Learning Containers using the getting-started guides ... Read More

Feed: R-bloggers. Author: R Views. Florianne Verkroost is a Ph.D. candidate at Nuffield College at the University of Oxford. She has a passion for data science and a background in mathematics and econometrics. She applies her interdisciplinary knowledge to computationally address societal problems of inequality.This is the fourth and final post in a series devoted to comparing different machine learning methods for predicting clothing categories from images using the Fashion MNIST data by Zalando. In the first post, we prepared the data for analysis and built a Python deep learning neural network model to predict the clothing categories of the Fashion ... Read More

Feed: Radar. Author: Hugo Bowne-Anderson. Edit note: We know data preparation requires a ton of work and thought. In this provocative article, Hugo Bowne-Anderson provides a formal rationale for why that work matters, why data preparation is particularly important for reanalyzing data, and why you should stay focused on the question you hope to answer. Along the way, Hugo introduces how tools and automation can help augment analysts and better enable real-time models. In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only ... Read More

Feed: R-bloggers. Author: Learning Machines. Correlation and its associated challenges don’t lose their fascination: most people know that correlation doesn’t imply causation, not many people know that the opposite is also true (see: Causation doesn’t imply Correlation either) and some know that correlation can just be random (so-called spurious correlation). If you want to learn about a paradoxical effect nearly nobody is aware of, where correlation between two uncorrelated random variables is introduced just by sampling, read on! Let us just get into an example (inspired by When Correlation Is Not Causation, But Something Much More Screwy): for all intents ... Read More

Feed: R-bloggers. Author: Andrew Treadway. If you’re staying indoors more often recently because of the current COVID-19 outbreak and looking for new things to study, here’s a few ideas! Free 365 Data Science Courses 365 Data Science is making all of their courses free until April 15. They have a variety of courses across R, Python, SQL, and more. Their platform also has courses that give a great mathematical foundation behind machine learning, which helps you a lot as you get deeper into data science. They also have courses on deep learning, which is a hot field right now. In ... Read More