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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXTDS Newsletter: How to Make Smarter Business Decisions with AI
Research agents, budget planners, and more The post TDS Newsletter: How to Make Smarter Business Decisions with AI appeared first on Towards Data Science.
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How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify
All ideas can be turned into action in a matter of time now. The post How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify appeared first on Towards Data Science.
From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples
Learn the basics of JavaScript through tiny n8n Code node snippets for sales data analytics The post From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples appeared first on Towards Data Science.
Discovering new solutions to century-old problems in fluid dynamics
Weβre introducing a family of solutions to some of the most complex equations that describe fluid motion.
Rapid Prototyping of Chatbots with Streamlit and Chainlit
End-to-end demos, comparison of pros and cons, and practical recommendations The post Rapid Prototyping of Chatbots with Streamlit and Chainlit appeared first on Towards Data Science.
A Gentle Introduction to vLLM for Serving
Let's take a look at how vLLM streamlines the process of serving large language models by making it faster and easier to integrate with existing machine learning workflows.
From Amnesia to Awareness: Giving Retrieval-Only Chatbots Memory
Achieve natural multi-turn conversations without sacrificing content control. The post From Amnesia to Awareness: Giving Retrieval-Only Chatbots Memory appeared first on Towards Data Science.
A Hands-On Introduction to cuML for GPU-Accelerated Machine Learning Workflows
This article offers a hands-on Python introduction to
A Hands-On Introduction to cuDF for GPU-Accelerated Data Workflows
This article introduces, through a hands-on Python example, cuDF : one of the latest Python libraries designed by
5 Tips for Building Useful Streamlit Dashboards in Minutes
This article will explore five different tips to help you build useful Streamlit dashboards in minutes.
Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour
Applying causal inference to measure the effect of product unavailability on retail sales at Carrefour The post Analysis of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour appeared first on Towards Data Science.
RAG Explained: Understanding Embeddings, Similarity, and Retrieval
Let's take a closer look at how the retrieval mechanism works The post RAG Explained: Understanding Embeddings, Similarity, and Retrieval appeared first on Towards Data Science.
Evaluating Your RAG Solution
A guide to building and evaluating RAG solutions by leveraging LLM-as-a-Judge capabilities. The post Evaluating Your RAG Solution appeared first on Towards Data Science.
Gemini achieves gold-level performance at the International Collegiate Programming Contest World Finals
Advanced version of Gemini 2.5 Deep Think achieved gold-medal level at the 2025 ICPC World Finals.
Feature Scaling in Practice: What Works and What Doesnβt
In machine learning, the difference between a high-performing model and one that struggles often comes down to small details.
Deploying AI Safely and Responsibly
Experts debunk the biggest myths about trustworthy AI The post Deploying AI Safely and Responsibly appeared first on Towards Data Science.
Airtable + GPT: Prototyping a Lightweight RAG System with No-Code Tools
How to build an orchestration workflow to prototype a RAG system that uses Airtable text databases as the knowledge base for retrieval, and OpenAI's GPT models for response generation.
ROC AUC Explained: A Beginnerβs Guide to Evaluating Classification Models
Understand how ROC curves and AUC help you go beyond accuracy with visuals and examples. The post ROC AUC Explained: A Beginnerβs Guide to Evaluating Classification Models appeared first on Towards Data Science.
The Best Local Coding LLMs You Can Run Yourself
In this article, we explore some of the best local coding LLMs that fit into local workflows and highlight why they stand out from the rest.
Building a Unified Intent Recognition Engine
How modular design can simplify and scale intent classification in enterprise AI systems The post Building a Unified Intent Recognition Engine appeared first on Towards Data Science.
Using Python to Build a Calculator
A beginner-friendly Python project to understand conditional statements, loops and recursive functions The post Using Python to Build a Calculator appeared first on Towards Data Science.
5 Strategic Steps to a Seamless AI Integration
To turn AI from pilots into impact: define the problem, fix your data, upskill people, start small and scale, and bake in responsible AI.
The Lazy Data Scientistβs Guide to Time Series Forecasting
Why waste weeks tuning models when you can forecast your data with Python in minutes?
How to Build Production-Ready UI Prototypes in Minutes Using Google Stitch
No design skills? No problem. Google Stitch turns your simple text prompts into ready-to-use UIs in minutes.
How to Enrich LLM Context to Significantly Enhance Capabilities
Learn how to empower your LLMs by leveraging additional metadata The post How to Enrich LLM Context to Significantly Enhance Capabilities appeared first on Towards Data Science.
Why Your A/B Test Winner Might Just Be Random Noise
What a coachβs warm-up trial can teach us about running better experiments The post Why Your A/B Test Winner Might Just Be Random Noise appeared first on Towards Data Science.
7 Free Web Search APIs for AI Agents
Explore leading web search APIs for agentic AI, offering real-time, high-accuracy SERP results, RAG readiness, low latency, and scalability; with Python quickstarts and free tiers for seamless integration.
7 NumPy Tricks for Faster Numerical Computations
Numerical computations in Python become much faster and more efficient with
A Visual Guide to Tuning Gradient Boosted Trees
Introduction My previous posts looked at the bog-standard decision tree and the wonder of a random forest. Now, to complete the triplet, Iβll visually explore gradient boosted trees! There are a bunch of gradient boosted tree libraries, including XGBoost, CatBoost, and LightGBM. However, for this Iβm going to use sklearnβs one. Why? Simply because, compared [β¦] The post A Visual Guide to Tuning Gradient Boosted Trees...
Implementing the Coffee Machine Project in Python Using Object Oriented Programming
Understanding classes, objects, attributes, and methods The post Implementing the Coffee Machine Project in Python Using Object Oriented Programming appeared first on Towards Data Science.
You Only Need 3 Things to Turn AI Experiments into AI Advantage
Trapped in a purgatory of POCs enterprises need to focus and build just 3 pillars to realize value from AI The post You Only Need 3 Things to Turn AI Experiments into AI Advantage appeared first on Towards Data Science.
Hereβs How I Built an MCP to Automate My Data Science Job
A step-by-step guide to building a Model Context Protocol (MCP) for your data science team (and why adapting AI is the key to staying ahead in this field).
Why Cybersecurity is More Important Today for Data Science Than Ever
AI systems powering critical decisions have become prime targets for sophisticated cyberattacks exploiting machine learning vulnerabilities.
Learn How to Use Transformers with HuggingFace and SpaCy
Mastering NLP with spaCy: Part 4 The post Learn How to Use Transformers with HuggingFace and SpaCy appeared first on Towards Data Science.
5 Cutting-Edge Generative AI Advances to Watch in 2026
If you want to be strategically positioned in the AI field of tomorrow, look into these these developing trends.