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Core Machine Learning Skills, Revisited
With all the buzz around agents, LLMs, and the tools they power, itβs sometimes easy (or at least tempting) to think that fundamental machine learning workflowsβfeature selection, model monitoring, and the likeβwill soon become obsolete. The articles we selected for you this week paint a different and more nuanced picture. Sure, practitioners have powerful new [β¦] The post Core Machine Learning Skills, Revisited...
Published on: June 19, 2025 | Source:
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10 GitHub Repositories to Master Web Development in 2025
Learn web development skills through courses, exercises, interview questions, checklist, and project ideas.
Published on: June 19, 2025 | Source:10 Must-Know Python Libraries for MLOps in 2025
MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.
Published on: June 19, 2025 | Source:Beyond Code Generation: Continuously Evolve Text withΒ LLMs
Long-running content evolution and an introduction to result analysis The post Beyond Code Generation: Continuously Evolve Text withLLMs appeared first on Towards Data Science.
Published on: June 19, 2025 | Source:Animating Linear Transformations with Quiver
A useful tool in your quiver The post Animating Linear Transformations with Quiver appeared first on Towards Data Science.
Published on: June 18, 2025 | Source:A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM CostΒ Control
Your very own SQL assistant built with Streamlit, SQLite, &CrewAI The post A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM CostControl appeared first on Towards Data Science.
Published on: June 18, 2025 | Source:Can We Use Chess to PredictΒ Soccer?
An adaptation of Elo ratings for soccer implemented inPython The post Can We Use Chess to PredictSoccer? appeared first on Towards Data Science.
Published on: June 18, 2025 | Source:Why Open Source is No Longer Optional β And How to Make it Work for Your Business
To stay ahead, open source is the only way. The post Why Open Source is No Longer Optional β And How to Make it Work for Your Business appeared first on Towards Data Science.
Published on: June 18, 2025 | Source:Getting Started with Cassandra: Installation and Setup Guide
Apache Cassandra is a distributed NoSQL database for managing massive data with high availability. This guide covers its installation on Linux, Windows, and macOS.
Published on: June 18, 2025 | Source:The 7 Most Useful Jupyter Notebook Extensions for Data Scientists
In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.
Published on: June 18, 2025 | Source:Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed
Simple concepts that differentiate a professional from amateurs. The post Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed appeared first on Towards Data Science.
Published on: June 17, 2025 | Source:LLaVA on a Budget: Multimodal AI with Limited Resources
Let's get started with multimodality The post LLaVA on a Budget: Multimodal AI with Limited Resources appeared first on Towards Data Science.
Published on: June 17, 2025 | Source:Apply Sphinxβs Functionality to Create Documentation for Your Next Data Science Project
Three cases to use the Sphinx tool as a pro The post Apply Sphinxβs Functionality to Create Documentation for Your Next Data Science Project appeared first on Towards Data Science.
Published on: June 17, 2025 | Source:A Practical Guide to Multimodal Data Analytics
BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.
Published on: June 17, 2025 | Source:Gemini 2.5: Updates to our family of thinking models
Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro now stable, Flash generally available, and the new Flash-Lite in preview.
Published on: June 17, 2025 | Source:Weβre expanding our Gemini 2.5 family of models
Gemini 2.5 Flash and Pro are now generally available, and weβre introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet.
Published on: June 17, 2025 | Source:NotebookLM + Deep Research: The Ultimate Learning Hack
Letβs unlock smarter, faster learning by combining NotebookLM with deep research strategies.
Published on: June 17, 2025 | Source:Deploying the Magistral vLLM Server on Modal
A guide for Python beginners to build, deploy, and test a Magistral reasoning model.
Published on: June 17, 2025 | Source:Agentic AI: A Self-Study Roadmap
A comprehensive guide to building AI systems that can plan, reason, and act autonomously β from basic tool-using agents to sophisticated multi-agent collaborations.
Published on: June 17, 2025 | Source:7 Concepts Behind Large Language Models Explained in 7 Minutes
If you've been using large language models like GPT-4 or Claude, you've probably wondered how they can write actually usable code, explain complex topics, or even help you debug your morning coffee routine (just kidding!).
Published on: June 17, 2025 | Source:Grad-CAM from Scratch with PyTorch Hooks
A hands-on look at an explainable AI (XAI) technique that helps reveal why a convolutional neural network (CNN) made a particular decision The post Grad-CAM from Scratch with PyTorch Hooks appeared first on Towards Data Science.
Published on: June 17, 2025 | Source:Interpolation in Positional Encodings and Using YaRN for Larger Context Window
This post is divided into three parts; they are: β’ Interpolation and Extrapolation in Sinusoidal Encodings and RoPE β’ Interpolation in Learned Encodings β’ YaRN for Larger Context Window Sinusoidal encodings excel at extrapolation due to their use of continuous functions: $$ \begin{aligned} PE(p, 2i) &= \sin\left(\frac{p}{10000^{2i/d}}\right) \\ PE(p, 2i+1) &= \cos\left(\frac{p}{10000^{2i/d}}\right) \...
Published on: June 17, 2025 | Source:A Practical Startersβ Guide to Causal Structure Learning with Bayesian Methods in Python
Learn Causal Structures and make inferences with Bayesian Methods: Python Tutorial The post A Practical Startersβ Guide to Causal Structure Learning with Bayesian Methods in Python appeared first on Towards Data Science.
Published on: June 17, 2025 | Source:Letβs Analyze OpenAIβs Claims About ChatGPT EnergyΒ Use
ChatGPT uses an average of 0.34 Wh per query, according to a blog post by Sam Altman. Does that figure holdup? The post Letβs Analyze OpenAIβs Claims About ChatGPT EnergyUse appeared first on Towards Data Science.
Published on: June 16, 2025 | Source:Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights
A detailed guide on controlling overfitting and increasing the stability of your models. The post Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights appeared first on Towards Data Science.
Published on: June 16, 2025 | Source:Build an AI Agent to Explore Your Data Catalog with Natural Language
Leverage LLMs to query your Databricks Data Catalog The post Build an AI Agent to Explore Your Data Catalog with Natural Language appeared first on Towards Data Science.
Published on: June 16, 2025 | Source:I Won $10,000 in a Machine Learning Competition β Hereβs My Complete Strategy
Complete guide to feature selection, threshold optimization, and neural network architecture for ML competitions The post I Won $10,000 in a Machine Learning Competition β Hereβs My Complete Strategy appeared first on Towards Data Science.
Published on: June 16, 2025 | Source:Agents, APIs, and the Next Layer of the Internet
Part I: Shipping Containers for Thought Every so often a simple idea rewires everything. The shipping container didnβt just optimise logistics; it flattened the globe, collapsed time zones, and rewrote the economics of trade. In its geometric austerity was a quiet revolution: standardisation. Similarly, HTML and HTTP didnβt invent information exchange β any more than [β¦] The post Agents, APIs, and the Next Layer of the...
Published on: June 16, 2025 | Source:Polars for Pandas Users: A Blazing Fast DataFrame Alternative
Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.
Published on: June 16, 2025 | Source:10 Large Language Model Key Concepts Explained
In this article, we explore 10 large language model terms that are key to understanding these formidable AI systems.
Published on: June 16, 2025 | Source:Automatically Build AI Workflows with Magical AI
Find out how to streamline tasks, save time, and boost productivity with a no-code AI assistant.
Published on: June 16, 2025 | Source:How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models
Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you also need to understand and explain their predictions.
Published on: June 16, 2025 | Source:Positional Encodings in Transformer Models
This post is divided into five parts; they are: β’ Understanding Positional Encodings β’ Sinusoidal Positional Encodings β’ Learned Positional Encodings β’ Rotary Positional Encodings (RoPE) β’ Relative Positional Encodings Consider these two sentences: "The fox jumps over the dog" and "The dog jumps over the fox".
Published on: June 15, 2025 | Source:Stop Building AI Platforms
When small and medium companies achieve success in building Data and ML platforms, building AI platforms is now profoundly challenging The post Stop Building AI Platforms appeared first on Towards Data Science.
Published on: June 14, 2025 | Source:What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization
An LLM in 2018 would not have trivialized a complex project, although it could have enhanced the final solution The post What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization appeared first on Towards Data Science.
Published on: June 13, 2025 | Source: