Tag: Use

Feed: Featured Blog Posts - Data Science Central. Author: Robert R. Tucci. I just uploaded a new chapter to my github proto-book "Bayesuvius". This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networks :) My chapter is heavily based on the excellent course notes for CS 285 taught at UC Berkeley by Prof. Sergey Levine. All I did was to translate some of those lectures into B net lingo. During a recent conversation that I had on LinkedIn with some very smart Machine Learning experts, the experts opined that the fields of RL and B nets did ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kate Shao. With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a lot of time to find the goods they want to buy. This is information overload. To solve this problem, the recommendation system came into being. The recommendation system is a subset of the Information Filtering System, which can be used in a range of areas such as movies, music, e-commerce, and Feed stream recommendations. The recommendation system discovers the user’s personalized needs and interests by analyzing ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sandipan Dey. This is the 2nd part of the article on a few applications of Fourier Series in solving differential equations. All the problems are taken from the edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations. The article will be posted in two parts (two separate blongs) We shall see how to solve the following ODEs / PDEs using Fourier series: Solve the PDE for Heat / Diffusion using Neumann / Dirichlet boundary conditions Solve Wave equation (PDE). Remove noise from an audio file with Fourier transform. Heat / Diffusion Equation The ... Read More

Feed: R-bloggers. Author: Daniel Petzold. [This article was first published on RStudio Blog, 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.Photo by Daniel Jerez on UnsplashData science can feel like an endless tunnel, with tremendous investment at the beginning and little visibility into where or when your results will emerge. Data science teams wrestle with many challenges, such as rapid iteration of new ideas, business alignment, productivity, transparency, and delivering durable value.As we’ve discussed ... Read More

Feed: R-bloggers. Author: Bluecology blog. [This article was first published on Bluecology blog, 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.When we perform a statistical test we’d like to have confidence what theType I error rate is what we say it is (rate of false positivefindings). Often scientists choose a rate (AKA ‘alpha’) of 0.05 forrejecting the null hypothesis.We’d like some guarantees that our statistical test will actually have atype I rate of 5% ... Read More

Feed: R-bloggers. Author: Artful Analytics. [This article was first published on Artful Analytics, 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.How I deal with wide datasets when building a predictive modelIntroductionIn this post, I will describe a preprocessing workflow that I usewhenever I have a lot variables (wide data) and need to build apredictive model quickly.The workflow has three stages:Univariate feature selection using the{Information}packageFeature engineering using the{vtreat}packageRemoval of redundant features using the{caret}packageThe overall goal ... Read More

Feed: Planet PostgreSQL. While trying to help Stefan Stefanov with his [pg_spreadsheetml](https://github.com/stefanov-sm/pg_spreadsheetml){:target="_blank"} I came across something that would have been obvious, but not too much to me. The obvious thing is replace is generally faster than regexp_replace. The fact is that, probably due to my heavy usage of Perl and Raku, I tend to use regular expressions even where they are not really required, and that is why I tried to change a nested invocation of replace into one of regexp_replace. The pull request, and in particular the commit did transform something like: replace(replace(replace(s, '&', '&amp;'), '>', '&gt;'), '<', '&lt;'); ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: jennifer-clemente; Follow @IBMDataIn the airline industry, timing and synchronization are everything when it comes to the customer experience. Mitigating unforeseen circumstances against customer expectations and good old supply and demand are all issues well within the wheelhouse of AI’s predictive capabilities. It’s no wonder that Deutsche Lufthansa AG, Germany’s largest airline, recognized early on that with the right data and AI strategy, it could enhance the customer experience and better empower its employees while achieving operational excellence. In less than two years, the airline has quickly moved from AI ... Read More

Feed: Recent Announcements. You can now use AWS Organizations to manage the use of your content by some AWS machine learning services. Certain services (Amazon CodeGuru Profiler, Amazon Comprehend, Amazon Lex, Amazon Polly, Amazon Rekognition, Amazon Textract, Amazon Transcribe, and Amazon Translate) may use content to improve the service. Previously, you could opt out of this use by contacting AWS Support. This new feature allows you to configure an organizational policy to opt out, without the need to contact AWS Support, and to have your configuration applied to all accounts within an organization.  ... Read More

Feed: Recent Announcements. AWS Firewall Manager is a security management service which allows customers to centrally configure and manage firewall rules across their accounts and resources. With Firewall Manager customers can manage AWS WAF, AWS Shield Advanced, and VPC security groups across their entire AWS Organization. Firewall Manager ensures that all firewall rules are consistently enforced, even as new accounts and resources are created. You can use Firewall Manager in the following AWS regions today: Americas (Northern Virginia, Montreal, Ohio, Oregon, Northern California, São Paulo), Europe (Frankfurt, Ireland, London, Stockholm, Paris), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Tokyo, Hong Kong), ... Read More