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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXMeet GPT, The Decoder-Only Transformer
Understanding and implementing the GPT-1, GPT-2 and GPT-3 architecturesContinue reading on Towards Data Science »
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5 Tips for Structuring Your Data Science Projects
Learn how to structure your data science projects to make them more organized and minimize chaos!
Top 10 High-Paying AI Skills to Learn in 2025
AI is growing fast! Learn the top skills for 2025 to stay ahead in this exciting field.
Why Variable Scoping Can Make or Break Your Data Science Workflow
Let’s kick off 2025 by writing some clean codetogetherImage by Swello fromUnsplashWhen you’re deep in rapid prototyping, it’s tempting to skip clean scoping or reuse common variable names (hello, df!), thinking it will save time. But this can lead to sneaky bugs that break your workflow.The good news? Writing clean, well-scoped code does not require additional effort once you understand the basic principles.Let’s break...
Getting Started with the Data Engineer Handbook
Kickstart your data engineering career with an expert guide available on GitHub.
Measuring The Execution Times of C Versus Rust
Is C is faster than Rust? I had always assumed the answer to that question to be yes, but I recently felt the need to test my assumptions.Continue reading on Towards Data Science »
Google’s Willow Quantum Computing Chip: A Game Changer?
Suppressing Logical Errors Exponentially! For the First TimeContinue reading on Towards Data Science »
Distributed Parallel Computing Made Easy with Ray
Illustrated with an example of Multimodal offline batch inference with CLIPContinue reading on Towards Data Science »
Predicting a Ball Trajectory
Polynomial Fit in Python with NumPyContinue reading on Towards Data Science »
LangChain Meets Home Assistant: Unlock the Power of Generative AI in Your Smart Home
Learn how to create an agent that understands your home’s context, learns your preferences, and interacts with you and your home to accomplish activities you find valuable.Photo by Igor Omilaev onUnsplashIntroductionThis article describes the architecture and design of a Home Assistant (HA) integration called home-generative-agent. This project uses LangChain and LangGraph to create a generative AI agent that interacts...
Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts
Is there ever a good reason for starting a bar chart above zero?Continue reading on Towards Data Science »
Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models
Full explanation on Linear Regression and how itlearnsThe Crane Stance. Public Domain image from OpenverseJust like Mr. Miyagi taught young Daniel LaRusso karate through repetitive simple chores, which ultimately transformed him into the Karate Kid, mastering foundational algorithms like linear regression lays the groundwork for understanding the most complex of AI architectures such as Deep Neural Networks and...
Journey to Full-Stack Data Scientist: Model Deployment
An introduction to productionizing machine learning models using APIs andDocker.Growing Responsibilities of Data ScientistsThe title of data scientist is ever-changing and often vague. It usually involves one who is fluent in mathematics, programming, and machine learning. They spend time cleaning data, building models, fine-tuning, and conducting experimentation. They must also have great communication skills, a good...
The Next Frontier in LLM Accuracy
Exploring the Power of Lamini MemoryTuningImage generated by DALL-E3Accuracy is often critical for LLM applications, especially in cases such as API calling or summarisation of financial reports. Fortunately, there are ways to enhance precision. The best practices to improve accuracy include the following steps:You can start simply with prompt engineering techniques—adding more detailed instructions, using few-shot...
How to Tell Among Two Regression Models with Statistical Significance
Diving into the F-test for nested models with algorithms, examples and codeContinue reading on Towards Data Science »
The Cultural Impact of AI Generated Content: Part 2
What can we do about the increasingly sophisticated AI generated content in ourlives?Photo by Meszárcsek Gergely onUnsplashIn my prior column, I established how AI generated content is expanding online, and described scenarios to illustrate why it’s occurring. (Please read that before you go on here!) Let’s move on now to talking about what the impact is, and what possibilities the future mighthold.Social and Creative...
Chi-Squared Test: Comparing Variations Through Soccer
Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (8)Continue reading on Towards Data Science »
Non-Technical Principles All Data Scientists Should Have
Making you a better data scientist, and enhancing your career.Continue reading on Towards Data Science »
What I’m Updating in My AI Ethics Class for 2025
What happened in 2024 that is new and significant in the world of AI ethics? The new technology developments have come in fast, but what has ethical or values implications that are going to matter long-term?I’ve been working on updates for my 2025 class on Values and Ethics in Artificial Intelligence. This course is part of the Johns Hopkins Education for Professionals program, part of the Master’s degree in Artificial...
10 GitHub Repositories to Master Math
Learn math through roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.
Predictive Maintenance Models with a Focus on Class Balancing — Complete Notebook
From Model Creation to Deployment: Building a Predictive Maintenance System with StreamlitContinue reading on Towards Data Science »
Getting Started with Building RAG Systems Using Haystack
Retrieval augmented generation (RAG) is altering the way we use large language models, but building these systems can be hectic. In this article, you will learn how to build RAG systems using Haystack.
Learning ML or Learning About Learning ML?
Pragmatism versus (over-)planningContinue reading on Towards Data Science »
Deep Learning for Outlier Detection on Tabular and Image Data
The challenges and promises of deep learning for outlier detection, including self-supervised learning techniquesIn the last several years, deep-learning approaches have proven to be extremely effective for many machine learning problems, and, not surprisingly, this has included several areas of outlier detection. In fact, for many modalities of data, including image, video, and audio, there’s really no viable option...
Integrating Feature Selection into the Model Estimation
Combining mixture of normal regressions with in-built feature selection into powerful modelingtoolFeature selection is usually defined as the process of identifying the most relevant variables in a dataset to improve model performance and reduce complexity of thesystem.However, it often has limitations. The variables can be interdependent. When we remove one variable, we might weaken the predictive power of those that...
Harnessing Polars and Geopandas to Generate Millions of Transects in Seconds
Making the bears playniceManhattan with transects spaced every 100ft. If you can transect here you can transect anywhere!The Problem:I needed to generate a transect every 10 feet across every street in New York City, and I had to do it in a New York Minute. The Generate Transects Along Lines tool built into ArcGIS Pro was going to take multiple days to run, so I had to come up with something at least slightlyfaster.To...
Demand Forecasting with Darts: A Tutorial
A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE andTFTPhoto by Victoriano Izquierdo onUnsplashDemand forecasting for retailing companies can become a complex task, as several factors need to be considered from the start of the project to the final deployment. This article provides an overview of the main steps required to train and deploy a demand forecasting model,...
The Fallacy of Complacent Distroless Containers
Making containers smaller is the most popular practice when reducing your attack surface. But how real is this sense of security?Continue reading on Towards Data Science »
Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data — Part 2
Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data—Part2How to use color image data for object detection in the context of obstacle detectionThe concept of sensor fusion is a decision-making mechanism that can be applied to different problems and using different modalities. We mentioned in the previous post that in this Medium blog series, we will analyze the concept of sensor fusion for obstacle...
Sensor Fusion — KITTI — ‘Lidar-based Obstacle Detection’ — Part-1
Mastering Sensor Fusion: LiDAR Obstacle Detection with KITTI Data—Part1How to use Lidar data for obstacle detection with unsupervised learningSensor fusion, multi-modal perception, autonomous vehicles—if these keywords pique your interest, this Medium blog is for you. Join me as I explore the fascinating world of LiDAR and color image-based environment understanding, showcasing how these technologies are combined to...
How to Stand Out in The Data Science Job Market
How to have the edge in your data science applicationContinue reading on Towards Data Science »
Data Engineering — ORM and ODM with Python
Manipulate database data leveraging an object-oriented programming paradigmContinue reading on Towards Data Science »
Develop a Stand-out Data Science Portfolio with GitHub
Improve your chances of getting noticed with these tips.
Start a New Year of Learning on the Right Foot
Feeling inspired to write your first TDS post? We’re always open to contributions from newauthors.Happy new year! Welcome back to the Variable!The ink has barely dried on our 2024 highlights roundup (it’s never too late to browse it, of course), and here we are, ready to dive headfirst into a fresh year of learning, growth, and exploration.We have a cherished tradition of devoting the first edition of the year to our...
How I Built a Real-Time Weather Data Pipeline Using AWS—Entirely Serverless
A practical guide to leveraging AWS Lambda, Kinesis, and DynamoDB for real-time insightsContinue reading on Towards Data Science »