Up until the last article, we dealt with "numerical noise" such as missing values and outliers. This time, we are looking at ...

Security researcher Patrick Wardle said on September 22, 2026 that Meta had hot-fixed a zero-day vulnerability in Muse, its newly launched personal AI agent, following his public disclosure on ...

Automated Machine Learning (AutoML) includes techniques and tools that streamline the process of training and optimizing machine learning models with minimal human intervention. AutoML simplifies and ...

У вас столбец «город» с 800 уникальными значениями. One‑hot encoding превратит его в 800 бинарных столбцов, разреженную матрицу и модель, которая ...

One-hot encoding creates a binary column per category. Use it for nominal features with low cardinality (under ~20 unique values). The main failure mode is high-cardinality columns (e.g., zip codes, ...

Olimex HoT (Home of Things) is a lightweight Smart Home solution designed to run on low-end hardware (128MB RAM, 128MB flash) and interface with nodes running ESPHome. It can serve as an easier-to-use ...

As a machine learning practitioner, you know that feature engineering is painstaking, manual work. You need to create interaction terms between features, encode categorical variables properly, extract ...

Machine learning models are mathematical functions. They multiply inputs by weights, compute gradients, and minimize loss functions. None of that works when an input column contains the string "BMW" ...

tl;dr: We provably improve GNN expressivity by enhancing message passing with substructure encodings. Our method allows incorporating domain specific prior knowledge and can be used as a drop-in ...

The observation of quantum phenomena often necessitates sufficiently pure states, a requirement that can be challenging to achieve. In this study, our goal is to prepare a nonclassical state ...