Sponsored Content How much time do you spend fighting your tools instead of solving problems? Every data scientist has been there: downsampling a dataset because it won’t fit into memory or hacking together a way to let a business user interact with a machine learning model. The ideal environment gets out of the …
Acknowledgements We thank the International Mathematical Olympiad organization for their support. Thang Luong led the overall technical direction of the advanced Gemini model with Deep Think for IMO and co-led with Edward Lockhart on the overall coordination of the IMO 2025 effort. The IMO 2025 system would not have been possible without the following technical …
part, I did an exploratory data analysis of the gamma spectroscopy data. We were able to see that using a modern scintillation detector, we can not only see that the object is radioactive. With a gamma spectrum, we are also able to tell why it is radioactive and what kind of isotopes the object contains. …
Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) Read More »
Image by Author | Canva Python is widely known for its popularity among engineers and data scientists, but it’s also a favorite choice for web developers. In fact, many developers prefer Python over JavaScript for building web applications because of its simple syntax, readability, and the vast ecosystem of powerful frameworks and tools available. …
7 Python Web Development Frameworks for Data Scientists Read More »
https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described in the article. Disclaimer ⚠️ First of all, note that this project is not production-ready code. and Why I Decided to Implement It from Scratch This project targets people who don’t have high-performance hardware (GPU particularly) but want to study computer vision or at least on the …
Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow Read More »
Image by Author | Ideogram Data is the asset that drives our work as data professionals. Without proper data, we cannot perform our tasks, and our business will fail to gain a competitive advantage. Thus, securing suitable data is crucial for any data professional, and data pipelines are the systems designed for this purpose. …
Build Your Own Simple Data Pipeline with Python and Docker Read More »
need a simple, engaging, and scalable method for presenting geospatial data, they often turn to a heatmap. This 2D visualization divides a map into equal-sized grid cells and uses color to represent the magnitude of aggregated data values within the cells. Overlaying heatmaps on geographical maps permits quick visualization of spatial phenomena. Patterns such as …
How to Overlay a Heatmap on a Real Map with Python Read More »
Image by Author | ChatGPT After mastering the Python fundamentals, the best way to solidify your knowledge is by building projects. But with Python’s vast ecosystem, it can be overwhelming to know where to start. That’s where curated GitHub repositories come in, they provide direct links to real-life projects in data science, automation, machine …
make smart choices when it starts out knowing nothing and can only learn through trial and error? This is exactly what one of the simplest but most important models in reinforcement learning is all about: A multi-armed bandit is a simple model for learning by trial and error. Just like we do. We’ll explore why …
Simple Guide to Multi-Armed Bandits: A Key Concept Before Reinforcement Learning Read More »
Image by Author | ChatGPT Introduction The explosion of generative AI has transformed how we think about artificial intelligence. What started with curiosity about GPT-3 has evolved into a business necessity, with companies across industries racing to integrate text generation, image creation, and code synthesis into their products and workflows. For developers and data …
