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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXNotebookLM + Deep Research: The Ultimate Learning Hack
Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.
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Deploying the Magistral vLLM Server on Modal
A guide for Python beginners to build, deploy, and test a Magistral reasoning model.
Agentic AI: A Self-Study Roadmap
A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations.
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!).
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.
Interpolation in Positional Encodings and Using YaRN for Larger Context Window
This post is divided into three parts; they are: • Interpolation and Extrapolation in Sinusoidal Encodings and RoPE • Interpolation in Learned Encodings • 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) \...
A Practical Starters’ 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 Starters’ Guide to Causal Structure Learning with Bayesian Methods in Python appeared first on Towards Data Science.
Let’s Analyze OpenAI’s Claims About ChatGPT Energy 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 Let’s Analyze OpenAI’s Claims About ChatGPT EnergyUse appeared first on Towards Data Science.
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.
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.
I Won $10,000 in a Machine Learning Competition — Here’s 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 — Here’s My Complete Strategy appeared first on Towards Data Science.
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 didn’t 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 didn’t invent information exchange — any more than […] The post Agents, APIs, and the Next Layer of the...
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.
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.
Automatically Build AI Workflows with Magical AI
Find out how to streamline tasks, save time, and boost productivity with a no-code AI assistant.
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.
Positional Encodings in Transformer Models
This post is divided into five parts; they are: • Understanding Positional Encodings • Sinusoidal Positional Encodings • Learned Positional Encodings • Rotary Positional Encodings (RoPE) • Relative Positional Encodings Consider these two sentences: "The fox jumps over the dog" and "The dog jumps over the fox".
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.
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.
AI Is Not a Black Box (Relatively Speaking)
Compared to the opacity around human intelligence, AI is more transparent in some very tangible ways. The post AI Is Not a Black Box (Relatively Speaking) appeared first on Towards Data Science.
How AI Agents “Talk” to Each Other
Minimize chaos and maintain inter-agent harmony in your projects The post How AI Agents “Talk” to Each Other appeared first on Towards Data Science.
Automating GitHub Workflows with Claude 4
Learn how to set up the Claude App in your GitHub repository and invoke it directly through comments.
AI Agents in Analytics Workflows: Too Early or Already Behind?
A look at how AI agents are reshaping the data analytics workflow and whether you’re ahead or behind the curve.
Connecting the Dots for Better Movie Recommendations
Connecting the Dots for Better Movie Recommendations: Lightweight graph RAG on Rotten Tomatoes movie reviews The post Connecting the Dots for Better Movie Recommendations appeared first on Towards Data Science.
Agentic AI 103: Building Multi-Agent Teams
Build multi-agent teams that can automate tasks and enhance productivity. The post Agentic AI 103: Building Multi-Agent Teams appeared first on Towards Data Science.
Boost Your LLM Output and Design Smarter Prompts: Real Tricks from an AI Engineer’s Toolbox
Not just what you ask, but how you ask it. Practical techniques for prompt engineering that deliver The post Boost Your LLM Output and Design Smarter Prompts: Real Tricks from an AI Engineer’s Toolbox appeared first on Towards Data Science.
Design Smarter Prompts and Boost Your LLM Output: Real Tricks from an AI Engineer’s Toolbox
Not just what you ask, but how you ask it. Practical techniques for prompt engineering that deliver The post Design Smarter Prompts andBoost Your LLM Output: Real Tricks from an AI Engineer’s Toolbox appeared first on Towards Data Science.
How we're supporting better tropical cyclone prediction with AI
We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U.S. National Hurricane Center to support their forecasts and warnings this cyclone season.
How to Learn Math for Data Science: A Roadmap for Beginners
Confused about where to start with data science math? Learn what math concepts to learn, in what order, and how to use them in practice.
Navigating Imbalanced Datasets with Pandas and Scikit-learn
Imbalanced datasets, where a majority of the data samples belong to one class and the remaining minority belong to others, are not that rare.
Building a Custom PDF Parser with PyPDF and LangChain
PDFs look simple — until you try to parse one. Here’s how to build your own parser.
Exploring the Proportional Odds Model for Ordinal Logistic Regression
Understanding and Implementing Brant’s Tests in Ordinal Logistic Regression with Python The post Exploring the Proportional Odds Model for Ordinal Logistic Regression appeared first on Towards Data Science.
Can AI Truly Develop a Memory That Adapts Like Ours?
Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself during test-time. The post Can AI Truly Develop a Memory That Adapts LikeOurs? appeared first on Towards Data Science.
Model Context Protocol (MCP) Tutorial: Build Your First MCP Server in 6 Steps
A beginner-friendly tutorial of MCP architecture, with the focus on MCP server components and applications, guiding through the process of building a custom MCP server that enables code-to-diagram. The post Model Context Protocol (MCP) Tutorial: Build Your First MCP Server in 6 Steps appeared first on Towards Data Science.
Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale
Publicly available datasets in recommender research currently shaping the field.