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

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 переобучится на третьей эпохе. Label encoding присвоит ...

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 ...

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 ...

自然言語処理（NLP）では、「単語」や「文章」のような文字情報を機械学習モデルに入力するために、数値ベクトルへ変換する必要があります。 その最も基本的な変換方法が One-Hot Encoding（ワンホットエンコーディング） です。 テキストデータ（単語や ...

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 ...

Hot or not? From AI models with API fantasies to memory-safe programming and compiled code, get the scoop on what’s in and what’s out in software development. Tides ebb and flow. Pendulums swing.