Building Effective Data Science Teams

[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. “Data and Goliath” –gouache painting by Jacqueline Nolis (image from her Etsy … Read more

Categories R Tags ExcerptFavorite

Hierarchical forecasting of hospital admissions

[This article was first published on R on notast, 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. Introduction Visualization 1. Trend 2. Seasonality Trend and seasonality 3. Anomaly … Read more

Categories R Tags ExcerptFavorite

Shiny Inception: JavaScript in Rendered Markdown

[This article was first published on R | datawookie, 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. I’m busy helping a colleague with a Shiny application. The application … Read more

Categories R Tags ExcerptFavorite

Knowledge distillation with R and tensorflow

[This article was first published on casualR, 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. knitr::opts_chunk$set(echo = TRUE) Welcome Hi everyone ! Welcome to my blog. Here I … Read more

Categories R Tags ExcerptFavorite

Streamline your ML training workflow with Vertex AIStreamline your ML training workflow with Vertex AIDeveloper Advocacy ManagerMachine Learning GDE

At one point or another, many of us have used a local computing environment for machine learning (ML). That may have been a notebook computer or a desktop with a GPU. For some problems, a local environment is more than enough. Plus, there’s a lot of flexibility. Install Python, install JupyterLab, and go! What often … Read more

on approximations of Φ and Φ⁻¹

[This article was first published on R – Xi'an's Og, 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. As I was working on a research project with graduate … Read more

Categories R Tags ExcerptFavorite

Containerize Your Application With Docker

Run your application on a virtualized operating system. Photo by Todd Cravens on Unsplash Motivation Let’s say that you want to deploy an application to a server. In your local system, the application works just fine without any problem. But once you’ve deployed the application into a server, boom! Your application doesn’t work. Many factors can make … Read more

Building an Artificial Neural Network in One Line of Code

The simplest neural network with TensorFlow 2 Image by mikemacmarketing on Wikimedia There are tons of great theoretical articles out there on the anatomy and mathematics of artificial neural networks, so I am going to take another approach to writing about and teaching this subject. In this article, we are going to get our hands … Read more

Version 0.11.1 of NIMBLE released

[This article was first published on R – NIMBLE, 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. We’ve released the newest version of NIMBLE on CRAN and on … Read more

Categories R Tags ExcerptFavorite

New digital course: Improve Code Quality with Amazon CodeGuru Reviewer

Learn how to leverage the power of machine learning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development with our new digital course, Improve Code Quality with Amazon CodeGuru Reviewer. In this course, you’ll learn how to use Amazon CodeGuru Reviewer to identify recommendations to improve the quality and security of … Read more

Categories AWS ExcerptFavorite

To Turbocharge Your Learning, Pick Hard Projects

Author Spotlight On finding your niche, how writing is both a multiplayer and single-player game, and why we all need to think more about ML systems In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science, their writing, and their sources of inspiration. Today, we’re thrilled … Read more

How to Use SQL Window Functions

The most common ones with code examples Photo by Fanny Rascle on Unsplash Whether you are solving a complex problem or are in the process of interviewing for a technical role that requires advanced SQL knowledge, it is important to understand how to use SQL window functions. While it is not always necessary in the … Read more

Paired test for dichotomous data-McNemar’s test in R

[This article was first published on Methods – finnstats, 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. Paired test for dichotomous data, McNemar’s test to see the effect … Read more

Categories R Tags ExcerptFavorite

Understanding Public-Key Cryptography by Mixing Colours!

Public-key cryptography is one of the foundations of our modern digital life. Normally it is quite hard to understand but with our literally colourful explanation it is a walk in the park. At the end we also give the nerd version, so read on! One problem with cryptography is that you often would like to … Read more

Categories R Tags ExcerptFavorite

NBA playoffs: Visualizing win percentage by seeding

Background With the NBA playoffs going on, I’ve been thinking about the following question: A and B are about to play a game. We know that among all players, A has rank/seed and B has rank/seed . (A higher ranking/seeding corresponds to a smaller value of , with being the best. Players with higher rank/seed … Read more

Categories R Tags ExcerptFavorite

UEFA EURO 2020 prediction competition

[This article was first published on R blog posts on sandsynligvis.dk, 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. Rules for participation We would like to find the … Read more

Categories R Tags ExcerptFavorite

Announcing RStudio Workbench

[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. We have renamed RStudio Server Pro to RStudio Workbench. This change reflects … Read more

Categories R Tags ExcerptFavorite

RStudio Workbench: VS Code Sessions

[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. The RStudio Workbench Juliet Rose release introduces support for VS Code sessions. … Read more

Categories R Tags ExcerptFavorite

R for Public Health

[This article was first published on R Views, 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. The COVID19 pandemic has raised the profile of public health workers at … Read more

Categories R Tags ExcerptFavorite

Salaries and time series regression

[This article was first published on R Analystatistics Sweden , 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 this post, I will examine Dynamic Linear Models and … Read more

Categories R Tags ExcerptFavorite

Job vacancies at Jumping Rivers!

[This article was first published on The Jumping Rivers 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. In line with the continuous growth at Jumping Rivers, we … Read more

Categories R Tags ExcerptFavorite

scale matters [maths as well]

[This article was first published on R – Xi'an's Og, 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. A question from X validated on why an independent Metropolis … Read more

Categories R Tags ExcerptFavorite

An Easy Beginner’s Guide to Git

Silly me. In our list of veggies, we listed pumpkins as a vegetable, but actually it’s a fruit! Did you know that? Let’s fix that mistake. Open up the two files we created and remove pumpkin from veggies and add it to the fruits. After you make the changes to those document, go ahead and … Read more

Codeless Data Processing with Knime

The ‘CSV reader’ node is used to load data to the Knime platform from its source. There are similar nodes such as Excel reader, JSON reader, Table Reader and Web reader. For this article I will focus on the CSV reader. The description window in Knime IDE as well as documentation in Knime Hub have … Read more

Almost Free Inductive Embeddings out-perform trained Graph Neural Networks in Graph Classification…

Untrained Graph Convolutional Network (uGCN) — a feed forward Graph Convolutional Network with randomly assigned weights for 3 layers with ReLU activations in between. We apply global mean pooling to the output 64-dimensional vectors (node embeddings) in order to obtain representations for graphs. # INPUT# g – a NetworkX graph# X – node features of … Read more

Visualizing U.S. Petroleum Pipeline Networks

Each shapefile row contains coordinates of points in a pipeline. I represent each point as a node, and connect these points through edges, through which the network is built using the NetworkX Python package. Now that we have the network, we can run some classic network algorithms to discover which nodes, or pipeline segments are … Read more

New AWS Solutions Implementation: Disaster Recovery for AWS IoT

Disaster Recovery for AWS IoT provides a failover strategy for your devices. Customers with critical AWS IoT Core workloads can use this solution to store and process their data in a secondary AWS Region if the primary Region is not accessible by their devices. This solution provides the following key features: An Amazon DynamoDB table in … Read more

Categories AWS ExcerptFavorite

Building a Real Time Chat Application with NLP Super Powers!

Photo by Volodymyr Hryshchenko on Unsplash In a world where Artificial Intelligence (AI) and Machine Learning (ML) models are being leveraged to obtain real-time information to continuously improve customer experience, I wanted to discover how effective ML can prove to be when trying to understand human conversations, and even try building our own custom application … Read more

New Cloud TPU VMs make training your ML models on TPUs easier than everNew Cloud TPU VMs make training your ML models on TPUs easier than everProduct Manager, Google AI

This new Cloud TPU system architecture is simpler and more flexible. In addition to major usability benefits, you may also achieve performance gains because your code no longer needs to make round trips across the datacenter network to reach the TPUs. Furthermore, you may also see significant cost savings: If you previously needed a fleet … Read more

Azure announces general availability of scale-out NVIDIA A100 GPU Clusters: the fastest public cloud supercomputer

Today, Azure announces the general availability of the Azure ND A100 v4 Cloud GPU instances—powered by NVIDIA A100 Tensor Core GPUs—achieving leadership-class supercomputing scalability in a public cloud. For demanding customers chasing the next frontier of AI and high-performance computing (HPC), scalability is the key to unlocking improved Total Cost of Solution and Time-to-Solution.  Simply put, … Read more

What on Earth Is a Confusion Matrix?

Now that we understand why validation is important, and also have some level of awareness of other metrics that are available for gauging models, what is a confusion matrix, and what makes it a great tool for model validation? A confusion matrix, also sometimes called an error matrix is a matrix or table layout that … Read more

Progress on our commitment to sustainable backup power in datacenters by 2030

In July 2020, we announced our goal to eliminate our dependence on diesel fuel for backup power in our datacenters by 2030. This is in addition to our commitment to having a 100 percent supply of renewable energy procured for our datacenter operations by 2025. Reliable backup power is essential to our customer promise—delivering highly … Read more