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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXA Well-Designed Experiment Can Teach You More Than a Time Machine!
How experimentation is more powerful than knowing counterfactuals The post A Well-Designed Experiment Can Teach You More Than a Time Machine! appeared first on Towards Data Science.
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From Rules to Relationships: How Machines Are Learning to Understand EachΒ Other
Using knowledge graphs to handle the unexpected in semantic communication The post From Rules to Relationships: How Machines Are Learning to Understand EachOther appeared first on Towards Data Science.
What Optimization Terminologies for Linear Programming Really Mean
Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for linear problems. The post What Optimization Terminologies for Linear Programming Really Mean appeared first on Towards Data Science.
Understanding Matrices | Part 3: Matrix Transpose
Visualizing matrix transposition, to make sense of transpose-related formulas. The post Understanding Matrices | Part 3: Matrix Transpose appeared first on Towards Data Science.
When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction
Can large language models learn to reason abstractly from just a few examples? In this piece, I explore this question by testing both text-based (o3-mini) and image-capable (gpt-4.1) models on abstract grid transformation tasks. These experiments reveal the extent to which current models rely on pattern matching, procedural heuristics, and symbolic shortcuts rather than robust generalization. Even with multimodal...
8 Ways to Scale your Data Science Workloads
From in-spreadsheet machine learning to terabyte sized DataFrames, learn how to stop fighting your tools and focus on solving problems.
Vibe Coding Something Useful with Repl.it
Learn how to turn a simple idea into a full-fledged project for your portfolio.
Gemini 2.5 Flash-Lite is now ready for scaled production use
Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model provides high quality in a small size, and includes 2.5 family features like a 1 million-token context window and multimodality.
10 Python One-Liners for JSON Parsing and Processing
Crack complex JSON with these Python one-liners that do the heavy lifting.
Zero-Shot and Few-Shot Classification with Scikit-LLM
In this article, you will learn: β’ how Scikit-LLM integrates large language models like OpenAI's GPT with the Scikit-learn framework for text analysis.
Beginnerβs Guide to String Manipulation in Python
In this article, you will learn about strings in Python and various techniques for manipulating them.
Building a Plain Seq2Seq Model for Language Translation
This post is divided into five parts; they are: β’ Preparing the Dataset for Training β’ Implementing the Seq2Seq Model with LSTM β’ Training the Seq2Seq Model β’ Using the Seq2Seq Model β’ Improving the Seq2Seq Model In
How To Significantly Enhance LLMs by Leveraging Context Engineering
The benefits and practical aspects of context engineering for LLMs The post How To Significantly Enhance LLMs by Leveraging Context Engineering appeared first on Towards Data Science.
I Analysed 25,000 Hotel Names and Found Four Surprising Truths
Why are there so many hotels named after cities they are not in? Follow along for a data analysis on hotel names. The post I Analysed 25,000 Hotel Names and Found Four Surprising Truths appeared first on Towards Data Science.
HandsβOn with Agents SDK: Your First APIβCalling Agent
A practical, beginnerβfriendly guide to building an AI weather assistant with Python, OpenAI Agents SDK, API tools, and Streamlit. The post HandsβOn with Agents SDK: Your First APIβCalling Agent appeared first on Towards Data Science.
MCP Client Development with Streamlit: Build Your AI-Powered Web App
MCP client development with Streamlit to enhance the tool calling capabilities of remote MCP servers, from setting up your development environment and securing API keys, handling user input, connecting to remote MCP servers, and displaying AI-generated responses. The post MCP Client Development with Streamlit: Build Your AI-Powered Web App appeared first on Towards Data Science.
Advanced Topic Modeling with LLMs
A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic The post Advanced Topic Modeling with LLMs appeared first on Towards Data Science.
Three Career Tips For Gen-Z Data Professionals
Unsolicited pieces of advice on navigating early career challenges The post Three Career Tips For Gen-Z Data Professionals appeared first on Towards Data Science.
How to Create an LLM Judge That Aligns with Human Labels
A hands-on guide to building and validating LLM evaluators The post How to Create an LLM Judge That Aligns with Human Labels appeared first on Towards Data Science.
Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad
Our advanced model officially achieved a gold-medal level performance on problems from the International Mathematical Olympiad (IMO), the worldβs most prestigious competition for young mathematicians. It earned a total of 35 points by perfectly solving five out of the six problems.
The Basics of Debugging Python Problems
I got 99 problems... and Python debugging is all of them.
Exploring the context of online images with Backstory
New experimental AI tool helps people explore the context and origin of images seen online.
Synthetic Dataset Generation with Faker
In this article, you will learn: β’ how to use the Faker library in Python to generate various types of synthetic data.
A Complete Guide to Matplotlib: From Basics to Advanced Plots
Master Matplotlib basics to advanced plots with this guide. Avoid frustration, create clear visuals, and customize like a pro.
10 GitHub Repositories for Machine Learning Projects
Explore these top machine learning repositories to build your skills, portfolio, and creativity through hands-on projects, real-world challenges, and AI resources.
Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)
Letβs observe the matter on the atomic level The post Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) appeared first on Towards Data Science.
The Hidden Trap of Fixed and Random Effects
My lesson of how blindly over-controlling for noise can erase the effects you are measuring The post The Hidden Trap of Fixed and Random Effects appeared first on Towards Data Science.
Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
A practical approach to instance segmentation using SOLOv2 and TensorFlow The post Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow appeared first on Towards Data Science.
From Reactive to Predictive: Forecasting Network Congestion with Machine Learning andΒ INT
Learn how machine learning can predict network congestion before it happens The post From Reactive to Predictive: Forecasting Network Congestion with Machine Learning andINT appeared first on Towards Data Science.
TDS Authors Can Now Edit Their Published Articles
One of our guiding principles as a publication is that authorsβ work remains theirs. This hasnβt changed since launching our independent site earlier this year; quite the opposite. On a practical level, however, we knew that an important element was missing as long as authors couldnβt directly edit their articles, and members of our community [β¦] The post TDS Authors Can Now Edit Their Published Articles appeared first...
7 Python Web Development Frameworks for Data Scientists
Python web frameworks power everything from fast APIs and machine learning demos to complex web apps, interactive data apps, real-time applications, and production-ready deployments.
From Linear Regression to XGBoost: A Side-by-Side Performance Comparison
Regression is undoubtedly one of the most mainstream tasks machine learning models can address.
What Does Pythonβs __slots__ Actually Do?
Learn how Python __slots__ reduces memory and boosts speed with real benchmarks from a data science project used in Allegroβs hiring challenge.
The Age of Self-Evolving AI Is Here
How Metaβs latest breakthrough lets models learn, adapt, and improve β all on their own The post The Age of Self-Evolving AI Is Here appeared first on Towards Data Science.
Estimating Disease Rates Without Diagnosis
Immune genes as predictors of disease The post Estimating Disease Rates Without Diagnosis appeared first on Towards Data Science.