of this series [1], [2], and [3], we have observed: interpretation of multiplication of a matrix by a vector, the physical meaning of matrix-matrix multiplication, the behavior of several special-type matrices, and visualization of matrix transpose. In this story, I want to share my perspective on what lies beneath matrix inversion, why different formulas related …
Image by Author Data science projects are notorious for their complex dependencies, version conflicts, and “it works on my machine” problems. One day your model runs perfectly on your local setup, and the next day a colleague can’t reproduce your results because they have different Python versions, missing libraries, or incompatible system configurations. This …
5 Simple Steps to Mastering Docker for Data Science Read More »
, Hangman was a really fun game in our home. We would grab a pen and paper and take turns choosing words for the other to guess. Today, it is used in classroom settings to help kids practice their spellings, understand strategic decision making by choosing vowels first, and brainstorm possible words from hints. In …
Image by Author | ChatGPT Working with data is everywhere now, from small apps to huge systems. But handling data quickly and safely isn’t always easy. That’s where Rust comes in. Rust is a programming language built for speed and safety. It’s great for building tools that need to process large amounts of data …
Today in the Gemini app, we’re unveiling a new image editing model from Google DeepMind. People have been going bananas over it already in early previews — it’s the top-rated image editing model in the world. Now, we’re excited to share that it’s integrated into the Gemini app so you have more control than ever …
Google announces native image editing in Gemini app Read More »
post after a while, and I want to start with something that bit me early on. When I was building and shipping my first Generative AI product, I did what most of us do. I hard-coded the prompts. It worked until it didn’t. Every time I wanted to tweak the tone, improve the wording, or fix a …
Image by Author | Ideogram Contents# Introduction# The Hidden Complexity of “Simple” Data Engineering Tasks# Workflow 1: Automated Data Quality Monitoring# Workflow 2: Dynamic Pipeline Orchestration# Workflow 3: Automatic Report Generation# Getting Started Without Overwhelming Yourself# Common Pitfalls and How to Avoid Them# Conclusion # Introduction A few hours into your work day as a data engineer, and you’re already drowning in routine …
Shortcuts for the Long Run: Automated Workflows for Aspiring Data Engineers Read More »
According to a technical paper from Google, accompanied by a blog post on their website, the estimated energy consumption of “the median Gemini Apps text prompt” is 0.24 watt-hours (Wh). The water consumption is 0.26 milliliters which is about five drops of water according to the blog post, and the carbon footprint is 0.03 gCO2e. …
Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? Read More »
Image by Author When I first started learning about how data science and machine learning could be used outside of finance and marketing, healthcare immediately stood out to me. Not just because it’s a massive industry, but because it literally deals with life and death. That’s when I stumbled into something that kept popping …
Predictive Analytics in Healthcare: Improving Patient Outcomes Read More »
been retained by an insurance company to help refine home insurance premiums across the southeastern United States. Their question is simple but high stakes: which counties are hit most often by hurricanes? And they don’t just mean landfall, they want to account for storms that keep driving inland, delivering damaging rain and spawning tornadoes. To …
Where Hurricanes Hit Hardest: A County-Level Analysis with Python Read More »
