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How Successful Data Scientists Land Tech Jobs in 2024 — A 3-Step Winning Strategy to Job-Hunting | by Khouloud El Alami | Dec, 2023

A Spotify Data Scientist’s guide to developing a job-hunting strategy that can get you offers A snapshot of the survey I conducted on Blind — Image by AuthorI recently ran a survey among data scientists and found out this shocking number — 86% are blindly sending out job applications, and hoping for the best. Hoping…

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Radial Treemaps: Extending Treemaps to Circular Mappings | by Nick Gerend | Dec, 2023

Learn about Radial Treemaps and create your own with Python Radial-Treemap by Nick GerendThe Treemap Concept The “Treemap” was introduced by Ben Shneiderman at the University of Maryland in the early 1990s¹. Simply put, it’s an efficient way of displaying hierarchical data as a set of nested rectangles. Although the concept is simple, the arrangement…

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Convenient Reinforcement Learning With Stable-Baselines3 | by Dr. Robert Kübler | Dec, 2023

Reinforcement learning without the boilerplate code Created by the author with Leonardo Ai.In my previous articles about reinforcement learning, I have shown you how to implement (deep) Q-learning using nothing but a bit of numpy and TensorFlow. While this was an important step towards understanding how these algorithms work under the hood, the code tended…

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TiDE: the ‘embarrassingly’ simple MLP that beats Transformers | by Rafael Guedes | Dec, 2023

A deep exploration of TiDE, its implementation using Darts and a real life use case comparison with DeepAR (a Transformer architecture) As industries continue to evolve, the importance of an accurate forecasting becomes a non-negotiable asset wether you work in e-commerce, healthcare, retail or even in agriculture. The importance of being able to foresee what…

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Time Series Classification for Fatigue Detection in Runners — A Tutorial | by K Bahavathy | Dec, 2023

A step-by-step walkthrough of inter-participant and intra-participant classification performed on wearable sensor data of runners Image by authorRunning data collected using wearable sensors can provide insights about a runner’s performance and overall technique. The data that comes from these sensors are usually time series by nature. This tutorial runs through a fatigue detection task where…

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On Why Machines Can Think. How can we think about thinking in the… | by Niya Stoimenova | Dec, 2023

How can we think about thinking in the simplest way possible? Opening Pandora’s box (image by author)In the 17th century, René Descartes introduced a relatively new idea — the dictum “cogito ergo sum” (“I think, therefore I am”). This simple formulation served as the basis of Western philosophy and defined for centuries our ideas on…

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Transitioning from ETL to ELT with AnalyticsEng

How cloud computing and analytics engineering forced the transition from ETL to ELT Image generated via DALL-EETL (Extract-Transform-Load) and ELT (Extract-Load-Transform) are two terms commonly used in the realm of Data Engineering and more specifically in the context of data ingestion and transformation. While these terms are often used interchangeably, they refer to slightly different…

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