Utilising Python’s Matplotlib to Create Advanced Data Visualisations Example Gantt chart created using matplotlib — image by the author. Often matplotlib has a bit of a reputation for creating boring … Read more
In this article we will explore how to use the Python getattr() function Photo by Shane Aldendorff on Unsplash Table of Contents Introduction Accessing attributes of objects dynamically using getattr() … Read more
A digital marketing analytics exercise with explained step-by-step code in both SQL and Python environments Photo by Zdeněk Macháček on Unsplash Along this brief journey, we will explore a short … Read more
The quest to solve the New York Times puzzle Photo by Nemichandra Hombannavar on Unsplash Solving the New York Times Spelling Bee can be a rewarding experience that balances a … Read more
Image by author Reprojecting latitude and longitude coordinates into a GeoTIFF’s coordinate system using Javascript, and querying data with geotiff.js Javascript has been used for many years to provide interactive … Read more
Image by Author. When one mentions “ML monitoring,” this can mean many things. Are you tracking service latency? Model accuracy? Data quality? The share of visitors that click on the … Read more
Build an object detection model, compare it to intensity thresholds, evaluate it and explain it using DeepSHAP (source: author) If the world was less chaotic self-driving cars would be simple. … Read more
We explore the limits of what vision-language models get about language in our Oral Paper at ICLR 2023 Photo by ThisIsEngineering. Multimodal AI is the talk of the town. With … Read more
At Microsoft, we are constantly discovering new ways to unleash creativity, unlock productivity, and uplevel skills so that more people can benefit from using AI. This is allowing our customers … Read more
The CCI30 Crypto Index is a cryptocurrency index that tracks the performance of the top 30 cryptocurrencies by market capitalization. It was created in 2017 by a team of researchers … Read more
Probability weighting without rules can make no sense. Fortunately we have some guidance. Introduction: What is Rank Dependent Utility? Rank dependent utility theory made its debut in John Quiggin’s 1982 … Read more
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[This article was first published on R on Publishable Stuff, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
We are excited to announce the support for Graviton3-based instances in Amazon EMR. You can now use Amazon EC2 C7G instances with EMR on EC2 and Amazon EKS. AWS Graviton3 … Read more
From theory to practice with the Otsu thresholding algorithm Photo by Luke Porter on Unsplash Let me start with a very technical concept: An Image will be viewed, treated, analyzed, … Read more
The good, bad, and ugly ways of uploading large batches of data Photo by Matheo JBT on Unsplash Speed matters! In data pipelines, as in anywhere else. Dealing with massive … Read more
A Step-by-Step guide on how to conduct a structured root cause analysis In my previous article, I discussed how to define activation metrics for your business — those metrics that … Read more
Photo by Jonathan Cooper on Unsplash House transformation logic in functions. Call the function in the list comprehension. Use the walrus operator to assign variables inside the list comprehension namespace … Read more
Svelte Bar Chart (source: author, 2023) Creating interactive bar chart with Svelte Data visualisation draws insight to what lives in our data. The usual way is to make graphs or … Read more
Photo by CDC on Unsplash In this post I’m going to review a recent paper in the interface between medicine research and modeling and machine learning. The paper, Green, A.G., … Read more
A few canonical and research-proven techniques to adapt large language models to domain specific tasks and the intuition of why they are effective. Source: https://unsplash.com/ Ever since being popularized by … Read more
Gain a deeper understanding of derivatives with Python Team Leibniz. Image by Author. Mathematics is a notoriously difficult subject for many. Because of its cumulative and abstract nature, students can … Read more
A Python implementation of Q-learning to solve the Taxi-v3 environment from OpenAI Gym in an animated Jupyter Notebook Photo by Alexander Redl on Unsplash The goal of the Taxi Environment … Read more
A paradigm shift ASCII art of a puppy produced by the author using ChatGPT. Artificial intelligence (AI) has advanced incredibly fast in recent years, giving rise to powerful tools known … Read more
Using LLMs to obtain labels for supervised models Photo by h heyerlein on Unsplash Labeling data is a critical step in building supervised machine learning models, as the quantity and … Read more
One command to both INSERT new data and UPDATE existing records in your database In this short article we’ll find out how we can UPSERT in SQLAlchemy: we INSERT new … Read more
Schema evolution example Let’s take a look at a typical way schema evolution may be used. You have a topic T that has a schema S associated with it. Publishers … Read more
It’s difficult to believe it has only been a couple of weeks since WebR has been around. But that might just be my perception. The spike protein invasion has significantly … Read more
Microsoft Azure Data Manager for Energy is the first fully managed OSDU™ Data Platform built for the energy industry. This solution is the first step in unraveling the challenge of … Read more
Prospect theory made its debut back in 1979 and was one of the first major attempts to address empirical deviations from expected utility theory. One of the key ingredients in … Read more
Given a complex number \(z_c\), called the Julia point, the corresponding Julia fractal is obtained by iterating \(z \mapsto z^2 + z_c\) for each complex number \(z\) until the modulus … Read more
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[This article was first published on R | Discindo, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
I have graphics working in Vanilla JS WebR, now, and I’ll cover the path to that in two parts. The intent was to jump straight into ggplot2-land, but, as you … Read more
A digestible introduction to how quantum computers work and why they are essential in evolving AI and ML systems. Gain a simple understanding of the quantum principles that power these … Read more
In this post, I compute each batsman’s or bowler’s Win Probability Contribution (WPC) in a T20 match. This metric captures by how much the player (batsman or bowler) changed/impacted the … Read more
I have a post coming on using base and {ggplot2} plots in VanillaJS WebR, but after posting some bits on social media regarding how slow {ggplot2} is to deal with, … Read more
Unfortunately not everyone knows about literate programming so many tables in Word documents are “generated” by hand (generated is really too strong a word) and what very often happens is … Read more
Better approaches to making statistical decisions Photo by Rommel Davila on Unsplash In establishing statistical significance, the p-value criterion is almost universally used. The criterion is to reject the null … Read more
AWS Database Migration Service (AWS DMS) has expanded support of Amazon Simple Storage Service (Amazon S3) as a target by adding the ability to create an AWS Glue Data Catalog … Read more
AWS Transfer Family, a service that provides fully managed file transfers for Amazon Simple Storage Service (Amazon S3) and Amazon Elastic File System (EFS), in now available in the AWS … Read more
AWS Migration Hub Strategy Recommendations now allows you to analyze application binaries, detect incompatibilities, and identify viable modernization pathways such as refactoring and replatforming without assessing your application source code. … Read more
Two Great Python Options for Visualising Geospatial Variation Photo by KOBU Agency on Unsplash Heatmaps, also known as Density Maps, are data visualizations that display the spatial distribution of a … Read more
Coffee Data Science Cutting up the shot to learn something new Coffee extraction happens over time, and it changes throughout an espresso shot. To better understand this, people have used salami … Read more
Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data Photo by Ricardo Gomez Angel on Unsplash 1. Intro Suppose … Read more
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
AWS CodeBuild’s support for GPU-based workloads now run on an additional 4vCPU 1GPU machine type suited for less-resource intensive workloads. In November 2019, CodeBuild launched support for GPU builds to … Read more
To even better understand Gradient Boosting Continue reading on Towards Data Science » Favorite