Aesthetic Epistemology: A Review of Erna Fiorentini’s“Inducing Visibilities…”

A Brief Review of “Inducing visibilities: An attempt at Santiago Ramón y Cajal’s aesthetic epistemology” Article by Erna Fiorentini: “Inducing visibilities: An attempt at Santiago Ramón y Cajal’s aesthetic epistemology” / Studies in History and Philosophy of Biological and Biomedical Sciences 42 (2011) 391–394 Drawing of Purkinje cells (A) and granule cells (B) from pigeon … Read more

Correlation in R ( NA friendliness, accepting matrix as input data, returning p values, visualization and Pearson vs Spearman)

[This article was first published on gacatag, 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. Many times, in our projects, we may needed to compare different factors to … Read more

Categories R Tags ExcerptFavorite

Best Practices for R with Docker

[This article was first published on R – Hosting Data Apps, 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 use of Docker with R has been transformative … Read more

Categories R Tags ExcerptFavorite

Learning R: Creating Truth Tables

A short one for today: in this post we will learn how to easily create truth tables with R and will contribute our code to the growing repository of Rosetta code. I hope that you will learn a few tricks along the way, so read on! We have covered bits of code that I contributed … Read more

Categories R Tags ExcerptFavorite

datatable editor-DT package 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. datatable editor DT package, In this tutorial, we are going to … Read more

Categories R Tags ExcerptFavorite

How to Become an Amazing Data Analytics Hire

1. Domain experience Hiring managers want candidates with domain experience because they can connect business performance to the data and provide immediate value to the company. How you go about gaining domain experience matters. If possible, set yourself up for success by finding a job that supports multiple departments in a company. This will help … Read more

Small gotcha when using negative indexing

Negative indexing is a commonly used method in R to drop elements from a vector or rows/columns from a matrix that the user does not want. For example, the code below drops the third column from the matrix M: M – matrix(1:9, nrow = 3) M # [,1] [,2] [,3] # [1,] 1 4 7 … Read more

Categories R Tags ExcerptFavorite

Map Symbols and Size Legends for leaflet

[This article was first published on R on Thomas Roh, 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 leaflet package in R has built-in functionality for creating … Read more

Categories R Tags ExcerptFavorite

(Re)Introducing the “Solutions” website

[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. At RStudio, we pride ourselves on the quality of our documentation. Our … Read more

Categories R Tags ExcerptFavorite

Cloud AI in the developer communityCloud AI in the developer communityDeveloper Advocate, Google CloudGoogle Developer Relations Program Manager

Editor’s note: This post features third party projects built with AI Platform. At Google I/O on May 18, 2021 Google Cloud announced Vertex AI, a unified UI for the entire ML workflow, which includes equivalent functionality from the AI Platform and new MLOps services. Most of the sample code and materials introduced in this post … Read more

Optimal Control, a Preamble

Let’s now try to transcribe the notion of “optimization” into a mathematical formulation. Most globally, in mathematics, the notion of optimization is related to finding the minimum of a function. Given a function “f” which takes as input a vector of n real numbers and maps it to a real number, the problem can be … Read more

Using Flyte to Power MLOps at Striveworks

Here’s why Striveworks chose Flyte as its workflow engine Photo by Brenna Huff on Unsplash By: Jake Neyer (Software Engineer at Striveworks) At Striveworks, we are building a one-of-a-kind data science platform by integrating the building blocks that most data science teams already have in their tool belts and adding a few new ones to … Read more

Approximating KL Divergence

Photo by Artur Łuczka on Unsplash In this article, I’ll be discussing a sample approximation of the KL divergence. I’ll be talking about both the forward and reverse KL divergences, so if you’re unfamiliar with these concepts, it might be helpful to check out my article on the topic here. If you want some guidance … Read more

New self-paced courses for cloud procurement, .NET, and Amazon CodeGuru available

AWS Training and Certification has launched four, new self-paced digital courses, Building Modern .NET Applications on AWS, How to Buy Cloud – Strategies for Cloud Procurement, Improve your Java Code using Amazon CodeGuru, and Improve your Python Code using Amazon CodeGuru on Coursera, edX, and Udemy.  Designed for intermediate-level developers, the .NET course teaches you … Read more

Categories AWS ExcerptFavorite

Azure at Microsoft Build recap: build amazing things on your terms, anywhere

A little over a year ago, Microsoft Build 2020 was Microsoft’s first flagship event to become all-digital early in the COVID-19 pandemic. We wanted to ensure we were there to support developers, who had become more critical than ever to business and societal continuity during the pandemic. During these most challenging times, developers have enabled … Read more

Converging the physical and digital with digital twins, mixed reality, and metaverse apps

Cloud and edge computing are coming together as never before, leading to huge opportunities for developers and organizations around the world. Digital twins, mixed reality, and autonomous systems are at the core of a massive wave of innovation from which our customers already benefit. From the outside, it’s not always apparent how this technology converges … Read more

Power your business applications data with analytical and predictive insights

Successful digital transformation requires eliminating unnecessary barriers. To that end, we announced Azure Synapse Analytics in November 2019, where we removed the barriers between data warehousing and big data analytics. And in 2020, we took this a step further and announced Azure Synapse Link for Azure Cosmos DB to break down the barriers that had … Read more

New Azure capabilities to simplify deployment and management

Customers around the world take advantage of Microsoft Azure to build, deploy, and manage business-critical applications at scale. We continuously innovate to help customers simplify their app deployment and management experience so they can spend more time building great solutions. Today, we are announcing several additional Azure infrastructure capabilities to help achieve this goal. Simplify … Read more

Gain flexibility to run open-source applications your way with Microsoft Azure

“Tech companies born with an open-source mentality get it. It’s our ability to work together that makes our dreams believable, and ultimately achievable; we must learn to build on the ideas of others”—Satya Nadella, CEO, Microsoft Microsoft has always been a developer-first organization, and we are striving to make our tools and platforms better to serve … Read more

Replace filterD()

[This article was first published on fishR 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 are deprecating filterD() from the next version of FSA (v0.9.0). It … Read more

Categories R Tags ExcerptFavorite

3 Challenges for Aspiring Data Scientists

Data science is an interdisciplinary field You need an all-round set of skills to become a data scientist. Data science products are implemented with software tools and packages. Thus, software skills are of crucial importance. However, being an excellent programmer is not enough to become a decent data scientist. Another building block of data science … Read more

A shiny interface to BatchGetSymbols

[This article was first published on R | msperlin, 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. Hadley Wickham recently released an online version of Mastering Shiny. The … Read more

Categories R Tags ExcerptFavorite

Safe the New Internationalist’s stories! Using webscraping and word clouds to see why independent journalism is worth protecting!

[This article was first published on Jan Knappe, 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. For nearly 50 years, the UK-based independent magazine New Internationalist is bringing … Read more

Categories R Tags ExcerptFavorite

Anomaly Detection in Python — Part 2; Multivariate Unsupervised Methods and Code

With increasing Contamination values, the model labels more data as anomalous. What if we do not know the right contamination? In this case, we analyze the decision_function() output. There are 2 ways of doing this: Apply a Univariate Anomaly Detection algorithm on the Isolation Forest Decision Function Output(like the tukey’s method — which we discussed … Read more

Data Formats for Training in TensorFlow: Parquet, Petastorm, Feather, and More

Simplify data management by unifying the file format across different kinds of machine learning workloads Photo by Maksim Shutov on Unsplash Machine learning is all about the data. To successfully train a sophisticated model you will need a high quality training dataset; a dataset that is sufficiently large, accurately labeled, and correctly represents the distribution … Read more

Fleet Hub for AWS IoT Device Management, a new, easy way to monitor & interact with IoT device fleets, is now generally available

Today, AWS IoT is announcing the general availability of Fleet Hub for AWS IoT Device Management. The feature enables customers to easily create a fully managed web application to view and interact with their device fleets to monitor fleet and device health, respond to alarms, take remote actions, and reduce time for troubleshooting. Web applications … Read more

Categories AWS ExcerptFavorite

Four steps to jumpstarting your SRE practiceFour steps to jumpstarting your SRE practiceStrategic Cloud Engineer, Infra, AppMod, SRE

A few months ago, we wrote about how the first step to implementing Site Reliability Engineering (SRE) in an organization is getting leadership on board. So, let’s assume that you’ve gone ahead and done that. Now what? What are some concrete steps you can take to get the SRE ball rolling? In this blog post, … Read more

Introducing cvwrapr for your cross-validation needs

TLDR: I’ve written an R package, cvwrapr, that helps users to cross-validate hyperparameters. The code base is largely extracted from the glmnet package. The R package is available for download from Github, and contains two vignettes which demonstrate how to use it. Comments, feedback and bug reports welcome! Imagine yourself in the following story: You … Read more

Categories R Tags ExcerptFavorite

ANOVA Test, with Python

The Complete Beginner’s Guide to perform ANOVA Test (with code!) Photo by Jonatan Pie on Unsplash In previous articles, I have discussed how to perform one-sample hypothesis tests and two-sample hypothesis test. So, what if we would like to compare several population means? In this article, I will introduce an analysis of variance (ANOVA) which … Read more

Build and improve a Machine Learning Classification model with TidyModels and R

These set of tutorial arose through my desire to use as many machine learning packages as possible. My favourites still remain tensorflow, caret, sci-kit learn and now TidyModels. Why TidyModels? Instead of replacing the modelling package, tidymodels replaces the interface. Better said, tidymodels provides a single set of functions and arguments to define a model. It then fits the … Read more

Categories R Tags ExcerptFavorite

Develop and test Google Cloud Functions locally and deploy

Optional: Set up automatic authentication of local GCP developments Do the following steps if you didn’t generate a Key-file for local development. Open your Command-Line. Switch to the current project with gcloud: gcloud config set project your-project-name With gcloud allow local developments and generate a key file: gcloud auth application-default login A window pops up. … Read more

How to find dataset differences in R Quickly Compare Datasets

[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. How to find dataset differences in R, when the pieces of … Read more

Categories R Tags ExcerptFavorite

Webinar – Data Science in Production

The Way to a Centralized Infrastructure  Online | June 16, 2021 | 4-6 pm CEST | Register now for free In order to exploit the full potential of data science, a proper IT infrastructure is required which meets the high demands for agility, performance and maintenance. Even more: The right infrastructure promotes collaboration and company-wide participation in the topic of data … Read more

Categories R Tags ExcerptFavorite

Build cloud-native applications that run anywhere

The global population of developers is estimated to reach 71.5 million in 2030, an increase of 44.5 million developers from today1. Each new developer brings their ideas and innovations that they’d like to share with the world. It is our mission to empower this next generation of developers with world-class tools and cloud services that … Read more

Azure is the home for your enterprise Java applications

Java is one of the most popular programming languages, used by over seven million developers to create everything from enterprise applications to complex robots. Over the past several years we’ve seen an evolution in the Java ecosystem, with the accelerated growth of open-source tools and frameworks like Spring. Microservice architectures are becoming more prevalent, and … Read more

Analyzing The SEO Score of an Article GPT-3 Wrote

Readability The readability score is one of the lowest. The reason is the text is written for a five-year-old to understand. Ten points for clarity, to be fair! Sentences are simple and easy to understand, which is not necessarily always a bad thing, but some variety is needed for good writing. Definitely, something missing here. … Read more

Replace fitPlot() with ggplot

[This article was first published on fishR 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 are deprecating fitPlot() from the next version of FSA (v0.9.0). It … Read more

Categories R Tags ExcerptFavorite

What is Logistic Regression?

Logistic Regression is a fundamental classification tool for data scientists and machine learning engineers. Photo by Clay Banks on Unsplash This tutorial is on the basics of applying logistic regression, using a little bit of Python. It is also a continuation of the post “What is Linear Regression?”, which can be found here. It is … Read more

Automate Pivot Table with Python (Create, Filter and Extract)  | by KahEm Chu | May, 2021 | Medium

Table Range 1 TableRange1 print the data without the Page Range, if you wish to print the Page Field as well, you may refer to TableRange2 Properties of Pivot Table. table_data = []for i in pvtTable.TableRange1:#print(i)table_data.append(str(i))print(table_data) Table Range 1 Property returns the result in list form. To convert the list into a DataFrame, we need … Read more

Google Cloud launches from Google I/O 2021Google Cloud launches from Google I/O 2021Developer Advocate

One of the most notable Google Cloud launches was the general availability of Vertex AI. It’s a managed unified machine learning (ML) platform that allows companies to accelerate deployment and maintenance of artificial intelligence (AI) platforms. Google Cloud has been leading with its AI Platform and AutoML products, like AutoML Vision, Tables, and Natural Language … Read more

Estimating Political Affiliation at the Neighborhood Level

No phone calls, no surveys, and no online polls — just good data. Photo by Element5 Digital on Unsplash This article offers a high-level overview of estimating political affiliation at the neighborhood level. For a more in-depth discussion, check out the accompanying Google Colab notebook or recent Meetup presentation. Disclaimer: I am a data science … Read more

AWS Lambda Extensions are now Generally Available

AWS Lambda Extensions are a new way to integrate your favorite operational tools for monitoring, observability, security, and governance with AWS Lambda. Starting today, extensions are generally available with new performance improvements and an expanded set of partners including Imperva, Instana, Sentry, Site24x7, and the AWS Distro for OpenTelemetry. Extensions use the Lambda Runtime Extensions … Read more

Categories AWS ExcerptFavorite

An Undergraduate-Level Introductory Statistics Course in 15 Minutes

A cheat sheet containing the most fundamental concepts and formulas to get you started in statistics. Photo by Meruyert Gonullu from Pexels Having failed math before, I was going into my first undergraduate-level statistics course in fear. I was afraid of more than just mathematics though. I was afraid of the lack of career opportunities … Read more