Whispers from the digital wind, hang tight..
A step-by-step guide to understanding window functions Photo by Yasmina H on Unsplash Window functions are key to writing SQL code that is both efficient and easy to understand. Knowing how they work and when to use them will unlock new
A simple guide to Turing Machines, how they came to be, and how they helped us define what an algorithm is Photo by Taylor Vick on Unsplash Introduction When we think of algorithms, we often describe them as similar to a
First Impressions of DuckDB handling 450Gb in a real project Duck blueprint. Generated by Copilot Designer. Introduction The fields of AI, Data Science, and Data Engineering are progressing at full steam. Every day new tools, new paradigms, and new architectures are
Discover the BiTCN model for multivariate time series forecasting, explore its architecture, and implement it in Python. Continue reading on Towards Data Science »
Create an engaging portfolio website from scratch with generative AI (+ a free prompt engineering crash course) Continue reading on Towards Data Science »
A detailed exploration of the Voyager Paper and its findings on tool usage Image by Author. Generated by DALL-E 2 As LLMs continue to increase their reasoning ability, their capacity to plan and then act tends to increase. This has led to
A hands-on tutorial in Python for sensor engineers With contributions from Moritz Berger. Bayesian sensor calibration is an emerging technique combining statistical models and data to optimally calibrate sensors — a crucial engineering procedure. This tutorial provides the Python code to perform such
All the tricks and details you wish you knew about Proximal Policy Optimization Photo by Lorenzo Herrera on Unsplash Since its publication in a 2017 paper by OpenAI, Proximal Policy Optimization (PPO) is widely regarded as one of the state-of-the-art algorithms
Forging New Professional Identities: From Data, ML, AI, Product, to Leader, Coach, Solopreneur, And Writer I am marking a turning point in my career — redefining what “work” means to me, solidifying my learning, and letting go of what needs to be left
Dive into LSTMs, understand their mathematics, implement them from scratch, and explore their applications in algorithmic trading. Continue reading on Towards Data Science »
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