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RISAT’s Silent Promise: Decoding Disasters with Synthetic A…
The high-resolution physics turning microwave echoes into real-time flood intelligence The post <a href="https://towardsdatascience.com/risats-silent-...
How I Use AI to Convince Companies to Adopt Sustainability
Discover how Claude can act as a Supply Chain Sustainability Analyst and guide companies toward greener, more efficient inventory management. The post...
Why CrewAI’s Manager-Worker Architecture Fails — and How to…
A real-world analysis of why CrewAI’s hierarchical orchestration misfires—and a practical fix you can implement today. The post <a href="https://towar...
How to Implement Three Use Cases for the New Calendar-Based…
Starting with the September 2025 Release of Power BI, Microsoft introduced the new Calendar-based Time Intelligence feature. Let’s see what can be don...
Ten Lessons of Building LLM Applications for Engineers
Practical field notes on workflows, structure, and evaluation from two years of building with engineering domain experts. The post <a href="https://to...
How to Create Professional Articles with LaTeX in Cursor
Learn how to rapidly create professional articles and presentations with LaTeX in Cursor The post <a href="https://towardsdatascience.com/how-to-creat...
How to Implement Randomization with the Python Random Module
Let's generate randomness in our code’s outputs The post How to Implement Randomization wit...
Struggling with Data Science? 5 Common Beginner Mistakes
Avoid these mistakes to fast track your data science career. The post Struggling with Data S...
A Hands-On Guide to Anthropic’s New Structured Output Capab…
A developer’s guide to perfect JSON and typed outputs from Claude Sonnet 4.5 and Opus 4.1 The post <a href="https://towardsdatascience.com/hands-on-wi...
LLM-as-a-Judge: What It Is, Why It Works, and How to Use It…
A step-by-step guide to building AI quality control using large language models The post <a href="https://towardsdatascience.com/llm-as-a-judge-what-i...
Learning Triton One Kernel at a Time: Softmax
All you need to know about a fast, readable and PyTorch-ready softmax kernel The post Learning Triton O...
Your Next ‘Large’ Language Model Might Not Be Large After A…
A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude 3.7 on reasoning tasks The post <a href="https://towardsdatascien...
Empirical Mode Decomposition: The Most Intuitive Way to Dec…
A step-by-step breakdown of empirical mode decomposition to help you extract patterns from time series The post <a href="https://towardsdatascience.co...
Overfitting vs. Underfitting: Making Sense of the Bias-Vari…
The best models live in the sweet spot: generalizing well, learning enough, but not too much The post Overfitting vs...
Modern DataFrames in Python: A Hands-On Tutorial with Polar…
How I learned to handle growing datasets without slowing down my entire workflow The post <a href="https://towardsdatascience.com/modern-dataframes-in...
How To Build a Graph-Based Recommendation Engine Using EDG …
Use a shared taxonomy to connect RDF and property graphs—and power smarter recommendations with inferencing The post <a href="https://towardsdatascien...
Natural Language Visualization and the Future of Data Analy…
Will conversational interaction replace SQL queries, KPI reports, and dashboards? The post <a href="https://towardsdatascience.com/natural-language-vi...
Generative AI Will Redesign Cars, But Not the Way Automaker…
Traditional manufacturers are using revolutionary technology for incremental optimization instead of fundamental re-imagination The post <a href="http...