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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXSimple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning
How AI learns to make better decisions and why you should care about exploration vs. exploitation The post Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning appeared first on Towards Data Science.
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CLIP Model Overviewβ: βUnlocking the Power of Multimodal AI
The magic behind multimodal models unlocked through contrastive learning The post CLIP Model Overview: Unlocking the Power of Multimodal AI appeared first on Towards Data Science.
Tracking Drill-Through Actions on Power BI Report Titles
When you have a drill-through page that can be called from multiple pages, it could be interesting to show which page was the originating page in the page title. Here I will show you how to do it. The post Tracking Drill-Through Actions on Power BI Report Titles appeared first on Towards Data Science.
Let AI Tune Your Voice Assistant
A practical guide to automating prompt engineering for voice assistants The post Let AI Tune Your Voice Assistant appeared first on Towards Data Science.
How to Optimize Your Python Code Even If Youβre a Beginner
Think you're too new to optimize Python? Think again. These quick tips make optimization easy and effective from the start.
PyNarrative: An Excellent Python Library for Data Storytelling
If you're new to data storytelling, this article will help you get started with PyNarrative.
7 Pandas Tricks That Cut Your Data Prep Time in Half
Data preparation is one of the most time-consuming parts of any data science or analytics project, but it doesn't have to be.
7 Python Statistics Tools That Data Scientists Actually Use in 2025
Check out these tools for basic math, statistical experiments, advanced statistics, data science, visualizations, and machine learning.
Are You Being Unfair toΒ LLMs?
They may deserve better. The post Are You Being Unfair toLLMs? appeared first on Towards Data Science.
10 Surprising Things You Can Do with Pythonβs datetime Module
This article looks at 10 useful β and perhaps surprising β things you can accomplish with Python's datetime module.
Generative AI: A Self-Study Roadmap
A practical guide for developers and data practitioners to build expertise in generative AI systems, from foundation models to production deployment.
Word Embeddings for Tabular Data Feature Engineering
It would be difficult to argue that word embeddings β dense vector representations of words β have not dramatically revolutionized the field of natural language processing (NLP) by quantitatively capturing semantic relationships between words.
Reducing Time to Value for Data Science Projects: Part 3
Setting up a robust experimentation process The post Reducing Time to Value for Data Science Projects: Part 3 appeared first on Towards Data Science.
Scene Understanding in Action: Real-World Validation of Multimodal AI Integration
A deep dive into real-world case studies: from indoor space and urban streets to world-famous landmarks The post Scene Understanding in Action: Real-World Validation of Multimodal AI Integration appeared first on Towards Data Science.
Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare
How metrics and monitoring combine with human expertise to build trustworthy AI in healthcare. The post Evaluation-Driven Development for LLM-Powered Products: Lessons from Building in Healthcare appeared first on Towards Data Science.
Kaggle CLI Cheat Sheet
Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models.
Automate SQL Workflows with n8n: Scheduled Database Reports via Email
Learn how to eliminate manual SQL reporting with an n8n workflow that automatically queries your database, formats professional HTML reports, and regularly emails them to stakeholders.
Worried About AI? Use It to Your Advantage
This week, we focus on the future of data science and the opportunities that can arise amid uncertainty. The post Worried About AI? Use It to Your Advantage appeared first on Towards Data Science.
Decision Trees Arenβt Just for Tabular Data
Versatile, interpretable, and effective for a variety of use cases, decision trees have been among the most well-established machine learning techniques for decades, widely used for classification and regression tasks.
The Crucial Role of NUMA Awareness in High-Performance Deep Learning
PyTorch model performance analysis and optimization β Part 10 The post The Crucial Role of NUMA Awareness in High-Performance Deep Learning appeared first on Towards Data Science.
Work Data Is the Next Frontier for GenAI
9 reasons why work data is the single most valuable data source for LLM training, uniquely capable of propelling LLM performance to unprecedented heights. The post Work Data Is the Next Frontier for GenAI appeared first on Towards Data Science.
AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job
What two groundbreaking studies reveal about the future of human-AI collaboration, and the enterprise playbook for thriving in the AI agent era The post AI Agents Are Shaping the Future of Work Task by Task, Not Job by Job appeared first on Towards Data Science.
How to Perform Effective Data Cleaning for Machine Learning
Learn how you can improve your machine learning models using effective data cleaning The post How to Perform Effective Data Cleaning for Machine Learning appeared first on Towards Data Science.
Time Series Forecasting Made Simple (Part 3.1): STL Decomposition
STL Decomposition excels when seasonal patterns evolve over time. The post Time Series Forecasting Made Simple (Part 3.1): STL Decomposition appeared first on Towards Data Science.
5 Ways to Transition Into AI from a Non-Tech Background
You have a non-tech background? Sure, you can transition into AI. Here are five practical ways of doing it.
A Beginnerβs Guide to AirTable for Data Analysis
AirTable combines the best of spreadsheets and relational database management systems: discover in this article how to get started with this plataform for data analysis.
How to Fine-Tune Small Language Models to Think with Reinforcement Learning
A visual tour and from-scratch guide to train GRPO reasoning models in PyTorch The post How to Fine-Tune Small Language Models to Think with Reinforcement Learning appeared first on Towards Data Science.
What I Learned in my First 18 Months as a Freelance Data Scientist
The taxes and health insurance edition The post What I Learned in my First 18 Months as a Freelance Data Scientist appeared first on Towards Data Science.
Build Interactive Machine Learning Apps with Gradio
Create a fun text-to-speech demo in minutes The post Build Interactive Machine Learning Apps with Gradio appeared first on Towards Data Science.
Microsoftβs Revolutionary Diagnostic Medical AI, Explained
Microsoft's latest paper discusses a path to medical superintelligence. How close are we, really? The post Microsoftβs Revolutionary Diagnostic Medical AI, Explained appeared first on Towards Data Science.
Building Modern Data Lakehouses on Google Cloud with Apache Iceberg and Apache Spark
Forget data silos. You can build a modern data lakehouse that gives you transactional consistency, schema evolution, and top-tier performance, all in one place with Apache Iceberg and Apache Spark.
Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python
Want to understand how ETL really works? Start here with a simple Python pipeline that covers the essentials.
Top 5 Python Automation Tools You Need to Know
Pythonβs automation tools that are powering everything from website testing and browser automation to streamlining desktop workflows and automating Python project testing.
10 NumPy One-Liners to Simplify Feature Engineering
When building machine learning models, most developers focus on model architectures and hyperparameter tuning.
7 Steps to Mastering Vibe Coding
Learn how to master vibe coding in these 7 steps, and transform AI code generation into a professional superpower.