Andrew Brady Stop Using Mean to Fill Missing Data towardsdatascience.com - Dario Radečić Mean imputation was the first ‘advanced’ (sighs) method of dealing with missing data I’ve used. In a way, it is a huge step from filling missing …

Andrew BradyAlgorithms Matrix factorization r-bloggers.com (This article was first published on sane.a.lytics » R, and kindly contributed to R-bloggers) At the heart of most data mining, we are trying to …

Andrew Brady The Best Algorithm No One Knows About wordpress.com Here’s a program roughly 0% of programmers know how to write: generate a list of random tweets, without duplication. You may think you know how to do …

Andrew BradyMachine Learning Shirin's playgRound netlify.com - Dr. Shirin Elsinghorst In a recent video, I covered Random Forests and Neural Nets as part of the codecentric.ai Bootcamp. In the most recent video, I covered Gradient …

Andrew Brady Monte Carlo Learning towardsdatascience.com - Baijayanta Roy In this article I will cover Monte Carlo Method of reinforcement learning. I have briefly covered Dynamic programming (Value Iteration and Policy …

Andrew Brady Getting started with R Programming towardsdatascience.com - Pier Paolo Ippolito An end to end Data Analysis using R, the second most requested programming language in Data Science. Keep the story going. Sign up for an extra free …

Andrew Brady Temporal-Difference learning towardsdatascience.com - Baijayanta Roy In this article I will cover Temporal-Difference Learning methods. Temporal-Difference(TD) method is a blend of Monte Carlo (MC) method and Dynamic …

Andrew Brady Building own Logistic Classifier in R [Logistic Trilogy, part 2] towardsdatascience.com - Soumalya Nandi If someone gets immense pleasure in developing own codes for data science projects or statistical projects then this is the right article for him/her. …

Andrew BradyMachine Learning Machine learning in agriculture: scientists are teaching computers to diagnose soybean stress eurekalert.org AMES, Iowa - Iowa State University scientists are working toward a future in which farmers can use unmanned aircraft to spot, and even predict, …

Andrew BradyLearning Automate Data Cleaning with Unsupervised Learning towardsdatascience.com - Marco Cerliani I like working with textual data. As for Computer Vision, in NLP nowadays there are a lot of ready accessible resources and opensource projects, …

Andrew Brady Machine Learning Applications for Banking Fraud Detection dataiku.com - Claire Carroll See how banks are detecting fraudulent transactions today, and leverage our code samples to try your own machine learning-based solution. See how …

Andrew Brady Survival Modeling — Accelerated Failure Time — Xgboost towardsdatascience.com - Avinash Barnwal Survival analysis is a “censored regression” where the goal is to learn time-to-event function. This is similar to the common regression analysis …

Andrew Brady Implement Random Forest in R towardsdatascience.com - Joe Tran A Practical Application of Random Forest in Classifying Breast Cancer Patients In order to understand RF, we need to first understand about decision …

Andrew Brady Beautiful visual model interpretation of classification strategies- Kannada MNIST Digits… towardsdatascience.com - Mirza Rahim Baig Beautiful visual model interpretation of classification strategies— Kannada MNIST Digits Recognition The Kannada MNIST dataset is a great recent work …

Andrew Brady A clinically applicable approach to continuous prediction of future ac nature.com A deep learning approach that predicts the risk of acute kidney injury may help to identify patients at risk of health deterioration within a time …

Andrew Brady Natural Language in Python using spaCy: An Introduction dominodatalab.com - Paco Nathan This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also …

Andrew BradyEmployment This algorithm can predict when workers are about to quit—here's how CNBC - Jennifer Liu Workers are quitting their jobs at record rates, thanks to a tight labor market and high confidence that moving on will also mean moving up, …

Andrew Brady Social Network Analysis and Topic Modeling of codecentric’s Twitter friends and followers r-bloggers.com (This article was first published on Shirin's playgRound, and kindly contributed to R-bloggers) I have written the following post about Social Network …

Andrew Brady Web Scraping for Data Science with Python kdnuggets.com For those who are not familiar with programming or the deeper workings of the web, web scraping often looks like a black art: the ability to write a …

Andrew BradyIcon version of the Flipboard logo Advanced R Programming LiveLessons: Tools for Greater Productivity and Machine Learning | InformIT informit.com Advanced R LiveLessons, Part I teaches R programmers techniques for dealing with large data, both in memory and in databases. It also covers advanced …

Andrew Brady An Rstudio Addin for Network Analysis and Visualization r-bloggers.com • Create and tweak a layout for your network • Check and add note attributes • Create the node styles • Review edge attributes • Create the edge styles • Review …

Andrew Brady rqdatatable: rquery Powered by win-vector.com - John Mount rquery is an R package for specifying data transforms using piped Codd-style operators. It has already shown great performance on PostgreSQL and …

Andrew Brady Data Manipulation in R: Beyond SQL red-gate.com - Casimir Saternos R is an extremely versatile statistical analysis platform. It is designed to perform complex calculations using only a few interactive commands or a …

Andrew BradyIcon version of the Flipboard logo simpler SQL with dplyr johnmackintosh.com - © HighlandR Following on from my last post, where I demonstrated R to some first time R users, I want to do a wee comparison of dplyr V SQL, so that folks, …

Andrew BradyData Science Getting Started With rquery win-vector.com - John Mount To make getting started with rquery (an advanced query generator for R) easier we have re-worked the package README for various data-sources …

Andrew Brady Layered Data Visualizations Using R, Plotly, and Displayr r-bloggers.com (This article was first published on R – Displayr, and kindly contributed to R-bloggers) If you have tried to communicate research results and data …

Andrew Brady Can Data Science Help Us Make Sense of the Mueller Report? dominodatalab.com - Joshua Poduska This blog post provides insights on how to apply Natural Language Processing (NLP) techniques. A complementary Domino project is available. The …

Andrew BradyIcon version of the Flipboard logoData Science Learn to do Data Viz in R dataquest.io - Charlie Custer One of the reasons that R is a top language for data science is that it’s great for data visualization. R users can take advantage of the wildly …

Andrew BradyMachine Learning How Can You Build A Winning ML Algorithm? Forbes - Forbes Technology CouncilThe impressive and rapid development of machine learning (ML) algorithms, especially those that are based on deep neural networks, has made artificial intelligence (AI) a mandatory technology in the 21st