poorman: First Release of a base R dplyr Clone

[This article was first published on Random R Ramblings, 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 first official release of poorman (v 0.1.9) is now on … Read more

Categories R Tags ExcerptFavorite

A Data Science View of Herd Immunity, What do We Have to Pay to Stop The Virus?

Covid-19 spreads like wildfire. this microorganism particle is rapidly changing the world. In less than four months, it has emerged from Wuhan (China) to almost every country in the world. Data and dashboard from Johns Hopkins CSSE at 31/03/2020 On the 13 March 2020, the prime minister of UK Boris Johnson gave the Nation the … Read more

Bootstrap resampling with #TidyTuesday beer production data

[This article was first published on Rstats on Julia Silge, 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’ve been publishing screencasts demonstrating how to use the tidymodels … Read more

Categories R Tags ExcerptFavorite

RStudio Connect 1.8.2

[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. One of the biggest frustrations for a data scientist, whether your primary … Read more

Categories R Tags ExcerptFavorite

Creating Adversarial Examples with JAX from the scratch

In this tutorial, we will see how to create Adversarial Examples that fool neural networks using JAX. Photo by Debbie Molle on Unsplash Firstly, let’s see some definitions. What are the Adversarial Examples? Simply put, Adversarial Examples are inputs to a neural network that are optimized to fool the algorithm i.e. result in misclassification of … Read more

Visualizing COVID-19: Isolation measures are working. We need more.

With the United States recently claiming the undesirable distinction of most officially reported Coronavirus cases worldwide, the New York Times has made available a dataset of all COVID-19 cases in the nation, tracked at the state and county levels and updated daily. While acknowledging that the data will never be perfect, the true number of … Read more

Deals on Wheels: Let the Market Show You How to Buy a Better Car

C. Depreciation across body styles Beyond car make, empirical depreciation rate trends across body type (coupe, sedan, SUV, truck, or van) were also explored. In this case, each of the 180 models with well-characterized pricing (R² > 0.67) was grouped by body type, and corresponding half-lives were visualized in a box plot (Figure 8). Figure … Read more

COVID-19 decease animation map

[This article was first published on r.iresmi.net, 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. Coronavirus decease in France # Animation carto décès COVID 19 France # avec … Read more

Categories R Tags ExcerptFavorite

Should you really use machine learning for that?

A checklist for deciding to use applied machine learning Source: Pexels Disclaimer: The following is based on my observations of machine learning teams — not an academic survey of the industry. For context, I’m a contributor to Cortex, an open source platform for deploying models in production. Machine learning is in an awkward phase. Its … Read more

AutoML Frameworks in R & Python

[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 … Read more

Categories R Tags ExcerptFavorite

Introducing BigQuery column-level security: new fine-grained access controlsIntroducing BigQuery column-level security: new fine-grained access controlsSoftware Engineer, BigQueryProduct Manager, Google Cloud Data Governance

We’re announcing a key capability to help organizations govern their data in Google Cloud. Our new BigQuery column-level security controls are an important step toward placing policies on data that differentiate between classes. This allows for compliance with regulations that mandate such distinction, such as GDPR or CCPA.  BigQuery already lets organizations provide controls to … Read more

Achieving identity and access governance on Google CloudAchieving identity and access governance on Google CloudSecurity & Compliance Specialist, Google Cloud

When businesses shift from solely on-premises deployments to using cloud-based services, identity management can become more complex. This is especially true when it comes to hybrid and multi-cloud identity management. Cloud Identity and Access Management (IAM) offers several ways to manage identities and roles in Google Cloud. One particularly important identity management task is identity and … Read more

Forecasting COVID-19 cases in India

How many cases are going to get detected by 7th April 2020 in India? COVID-19 has taken the world by storm after first being reported in Wuhan, China in December-2019. Since then, there has been an exponential growth in the number of such cases around the globe. As of 28th March 2020, the total reported … Read more

The Square Data Scientist Interview

source Square, Inc. is a financial service, merchant services aggregator, and mobile payment company. Founded in 2009 and based in San Francisco, California, the company develops and markets hardware and software payment products that combine merchant services and mobile payments into a single, easy-to-use platform. Out of their many robust products and services, people are … Read more

Amazon Elastic File System announces 400% increase in read operations for General Purpose mode file systems

General Purpose mode (GP mode) is the default performance mode for Amazon EFS. It offers the lowest per-operation latency and is the recommended choice for most applications. Amazon EFS also offers the Max I/O performance mode which can scale to higher levels of aggregate throughput and supports over 500,000 operations per second with slightly higher … Read more

Categories AWS ExcerptFavorite

Top Data Science Blogs

[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. As a data scientist, I always seek to … Read more

Categories R Tags ExcerptFavorite

A is for arrange

[This article was first published on Deeply Trivial, 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 arrange function allows you to sort a dataset by one or … Read more

Categories R Tags ExcerptFavorite

General availability of new Azure disk sizes and bursting

Today marks the general availability of new Azure disk sizes, including 4, 8, and 16 GiB on both Premium and Standard SSDs, as well as bursting support on Azure Premium SSD Disks. To provide the best performance and cost balance for your production workloads, we are making significant improvements to our portfolio of Azure Premium … Read more

Making Of: A Free API For COVID-19 Data

[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, … Read more

Categories R Tags ExcerptFavorite

Crowdfight Covid-19 – Call for R-community action

[This article was first published on R-posts.com, 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. Dear R-community, This is a rather unusual post for an R-blog, but unusual … Read more

Categories R Tags ExcerptFavorite

Pivot Tables In Pandas

(You can find my code on my GitHub here) We’re going to work with the Titanic dataset (downloaded from Kaggle). I’ve downloaded the training section of it to a csv file and loaded it into a dataframe: import numpy as npimport pandas as pdtitanic = pd.read_csv(‘train.csv’) Let’s make sure there are no null values before … Read more

Iterators & Iterables in Python

We can see that the ‘__iter__()’ method is present in the list of methods and attributes for our object . In general, any object with the ‘__iter__()’ method can be looped over. Further, when we use for-loops on iterables, we call the ‘__iter__()’ method. When the ‘__iter__()’ method is called it returns an iterator. Now, … Read more

Painting Pixel Art With Machine Learning

This second batch has sprites we manually selected to be in the validation set, as they are considerably different from most others. Despite this fact, shading sprites are still near identical to their human drawn counterparts. Concerning color images, the quality did not deteriorate much, as was the case for Sarah. However, it is still … Read more

Modelling COVID-19 Spread in Canada as Exponential Growth

A brief review of exponential growth and how it applies to COVID-19 transmission in Canada. General equation for an exponential function Note from the editors: Towards Data Science is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this … Read more

Optimization — Descent Algorithms

Many papers in ML are just about finding a better approach for this specific step. Momentum, Adagrad, or Adadelta are some examples. One improvement to the classical gradient descent is to use a variable step size at each iteration, not a constant. Not only it’s going to be a variable step size, but it’s also … Read more

Everything you should know about WinBuilder

[This article was first published on Posts on R-hub 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. If you’ve tried submitting a package on CRAN, you might … Read more

Categories R Tags ExcerptFavorite