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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXGenerating Consistent Imagery with Gemini
A practical guide to building a prompt-based generation pipeline for your image library The post Generating Consistent Imagery with Gemini appeared first on Towards Data Science.
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The Art of Asking Good Questions
As a data scientist, are you driving product decisions? Or just supporting them? The right questions can turn AI from a threat into your careerβs best ally. Hereβs how to start asking them. The post The Art of Asking Good Questions appeared first on Towards Data Science.
Generative AI Myths, Busted: An Engineersβs Quick Guide
A super simple and quick guide to how generative AI works, the myths around it, and why it wonβt replace engineers anytime soon. The post Generative AI Myths, Busted: An Engineersβs Quick Guide appeared first on Towards Data Science.
Generative AI Myths, Busted: An Engineerβs Quick Guide
A super simple and quick guide to how generative AI works, the myths around it, and why it wonβt replace engineers anytime soon. The post Generative AI Myths, Busted: An Engineerβs Quick Guide appeared first on Towards Data Science.
Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to PlanΒ Them)
Are βquasiβ geo-lift experiments the missing piece for your marketing science function? The post Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to PlanThem) appeared first on Towards Data Science.
Bagging vs Boosting vs Stacking: Which Ensemble Method Wins in 2025?
Introduction In machine learning, no single model is perfect.
7 Python Libraries Every Analytics Engineer Should Know
A quick look at 7 Python libraries that help analytics engineers clean, transform, and analyze data effectively.
5 Techniques to Prevent Hallucinations in Your RAG Question Answering
Learn how to reduce the number of hallucinations, and the impact they have The post 5 Techniques to Prevent Hallucinations in Your RAG Question Answering appeared first on Towards Data Science.
10 Newsletters for Busy Data Scientists
This article highlights ten of the best free newsletters for data scientists, covering everything from hands-on tutorials and statistical guides to industry news, AI breakthroughs, and career advice.
How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent
From prompt to strategic decision-making: MCP-powered agents for cost-efficient, reliable and sustainable supply chain network design. The post How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent appeared first on Towards Data Science.
The KolmogorovβSmirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
Understanding how banks use the KS statistic in loan approvals. The post The KolmogorovβSmirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling appeared first on Towards Data Science.
Integrating DataHub into Jira: A Practical Guide Using DataHub Actions
A walkthrough of how to integrate metadata changes in DataHub into Jira workflows using the DataHub Actions Framework The post Integrating DataHub into Jira: A Practical Guide Using DataHub Actions appeared first on Towards Data Science.
How To Use Synthetic Data To Build a Portfolio Project
Generate synthetic data and build a machine learning portfolio project with AI.
Beginnerβs Guide to VibeVoice
Learn how to use Microsoftβs open-source text-to-speech model for advanced conversational AI on Google Colab, with step-by-step setup and troubleshooting for common inference issues.
Strengthening our Frontier Safety Framework
Weβre strengthening the Frontier Safety Framework (FSF) to help identify and mitigate severe risks from advanced AI models.
The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction &Β AIXI
Is it possible to build a perfect induction machine? The post The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction &AIXI appeared first on Towards Data Science.
10 Machine Learning Newsletters to Stay Informed
Let's face it: keeping up with new research, tools, and industry shifts in machine learning can be down-right overwhelming.
10 Python One-Liners to Optimize Your Hugging Face Transformers Pipelines
In this article, we present 10 powerful Python one-liners that will help you optimize your Hugging Face pipeline() workflows.
Data Visualization Explained: What It Is and Why It Matters
A brief introduction to data visualization and its importance in today's technological landscape. The post Data Visualization Explained: What It Is and Why It Matters appeared first on Towards Data Science.
Python Can Now CallΒ Mojo
Boost your runtimes with lightning-fast Mojocode The post Python Can Now CallMojo appeared first on Towards Data Science.
Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output
A hands-on example of building a time-series anomaly detection system entirely through visualization and prompting The post Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output appeared first on Towards Data Science.
The SyncNet Research Paper, Clearly Explained
A Deep Dive into "Out of Time: Automated Lip Sync in the Wild" The post The SyncNet Research Paper, Clearly Explained appeared first on Towards Data Science.
Deploying a PICO Extractor in Five Steps
Lessons learned deploying a domain-specific NER model The post Deploying a PICO Extractor in Five Steps appeared first on Towards Data Science.
Beginnerβs Guide to Data Analysis with Polars
Polars is a lightning-fast DataFrame library, perfect for quick, scalable data analysis. This guide covers the basics to get you started.
An Interactive Guide to 4 Fundamental Computer Vision Tasks Using Transformers
An overview of 4 fundamental computer vision tasks - image classification, image segmentation, image captioning and visual question answering, with transformer models. Compare ViT, DETR, BLIP, and ViLT performance interactively by providing a practical Streamlit app implementation guide. The post An Interactive Guide to 4 Fundamental Computer Vision Tasks Using Transformers appeared first on Towards Data Science.
How to Select the 5 Most Relevant Documents for AI Search
Improve the document retrieval step of your RAG pipeline The post How to Select the 5 Most Relevant Documents for AI Search appeared first on Towards Data Science.
Top 10 Free API Providers for Data Science Projects
Explore these free APIs to access real-time, high-quality datasets, ranging from geospatial information to social media conversations.
TDS 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.
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