The preprint and postprint manuscript web sites Artificial Intelligence and Machine Learning are not included here due to their very high submission rates.
- Let’s see how many stars we’ll collect.Continue reading on Towards Data Science »
- Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step code.Continue reading on Towards Data Science »
- In this article we will explore why 128K tokens and more models can’t fully replace using RAG.Continue reading on Towards Data Science »
- Speed up your LLM inferenceContinue reading on Towards Data Science »
- CV VideoPlayer — Once and For AllA Python video player package made for computer vision researchImage by authorWhen developing computer vision algorithms, the journey from concept to working implementation often involves countless iterations of watching, analyzing, and debugging video frames. As I dove deeper into computer vision projects, I found myself repeatedly writing the same boilerplate code for video visualization […]
- 10 essential steps, from data exploration to model deployment.Continue reading on Towards Data Science »
- SQLite in Modern Web Production: Dreams Becoming RealityOn the virtues of radical simplicityA simple landscape. From Unsplash.This is the first in a two-part series on using SQLite for web applications and machine learning. In this article, I dive into why SQLite is rapidly becoming a production-ready database for modern web apps. In the second article, I […]
- We humans are proud creaturesContinue reading on Towards Data Science »
- Feeling inspired to write your first TDS post before the end of 2024? We’re always open to contributions from new authors.Our guiding principle is that it’s never a bad time to learn new things, but we also know that different moments call for different types of learning. Here at TDS, we’ve traditionally published lots of hands-on, […]
- Introduction to activation functions and an overview of the most famous functionsContinue reading on Towards Data Science »
- Using LightGBM, kNN and AutoEncoders for imputation and improving them further via iterative method MICEContinue reading on Towards Data Science »
- Combining lightweight design with high forecasting accuracyContinue reading on Towards Data Science »
- NVIDIA recently announced that NVIDIA TensorRT-LLM now accelerates encoder-decoder model architectures. TensorRT-LLM is an open-source library that optimizes inference for diverse model architectures, including the following: The addition of encoder-decoder model support further expands TensorRT-LLM capabilities, providing highly optimized inference for an even broader range of… Source
- DATA SCIENCEIncluding resources for how to build those skillsImage by Author. Created using MidjourneyIf you have been a data scientist for a while, sooner or later you’ll notice that your day-to-day has shifted from a VSCode-loving, research paper-reading, git-version-committing data scientist to a collaboration-driving, project-scoping, stakeholder-managing, and strategy-setting individual.This shift will be gradual and almost unnoticeable […]
- Leveraging GPT-3.5 and unstructured APIs for translationsThis blog post details how I utilised GPT to translate the personal memoir of a family friend, making it accessible to a broader audience. Specifically, I employed GPT-3.5 for translation and Unstructured’s APIs for efficient content extraction and formatting.The memoir, a heartfelt account by my family friend Carmen Rosa, […]
- Let’s see how many stars we’ll collect.Continue reading on Towards Data Science »
- A practical guide to designing clear, effective, and actionable dashboards for decision-makingContinue reading on Towards Data Science »
- “If you try it, you might wanna buy it.”Continue reading on Towards Data Science »
- Deprioritizing quality sacrifices both software stability and velocity, leading to costly issues. Investing in quality boosts speed and outcomes.Image by the author. (AI generated Midjourney)Investing in software quality is often easier said than done. Although many engineering managers express a commitment to high-quality software, they are often cautious about allocating substantial resources toward quality-focused initiatives. […]
- Customizing neural networks to fit price-response functionsContinue reading on Towards Data Science »