151 lines
7.1 KiB
JSON
151 lines
7.1 KiB
JSON
[
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{
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"id": 0,
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"words": [
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{
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"id": 0,
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"word": "Tech",
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"definition": "short for technical, relating to the knowledge, machines, or methods used in science and industry. Tech is a whole industry, which includes IT",
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"examples": [
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"“As a DevOps engineer I have been working in Tech since 2020.”"
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],
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"synonyms": ["IT"]
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},
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{
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"id": 1,
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"word": "career path",
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"definition": "the series of jobs or roles that constitute a person's career, especially one in a particular field",
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"examples": [
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"“Technology is an evolving field with a variety of available career paths.”"
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],
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"synonyms": []
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}
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]
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},
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{
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"id": 1,
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"words": [
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{
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"id": 0,
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"word": "Machine Learning",
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"translation": "Машинное обучение",
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"definition": "An approach to artificial intelligence where computers learn from data without being explicitly programmed.",
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"synonyms": ["Trainable Algorithms", "Automated Learning"],
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"examples": [
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"We used machine learning techniques to forecast product demand.",
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"The movie recommendation system is based on machine learning algorithms.",
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"Machine learning helped improve the accuracy of speech recognition in our application."
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]
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},
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{
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"id": 1,
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"word": "Neural Network",
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"translation": "Нейронная сеть",
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"definition": "A mathematical model inspired by the structure and function of biological neural networks, consisting of interconnected nodes organized in layers that can process information.",
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"synonyms": ["Artificial Neural Network", "Deep Neural Network"],
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"examples": [
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"To process large amounts of data, we created a deep learning neural network.",
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"This neural network is capable of generating realistic images.",
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"Using neural networks significantly improved the quality of text translation."
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]
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},
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{
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"id": 2,
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"word": "Algorithm",
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"translation": "Алгоритм",
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"definition": "A step-by-step procedure or set of instructions for solving a problem or performing a computation.",
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"synonyms": ["Procedure", "Method"],
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"examples": [
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"The algorithm we developed quickly finds the optimal delivery route.",
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"This algorithm sorts an array with a minimal number of operations.",
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"Encryption algorithms ensure secure transmission of data over the internet."
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]
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},
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{
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"id": 3,
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"word": "Data Model",
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"translation": "Модель данных",
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"definition": "An abstract representation of the structure of data, describing how data is organized and related to each other.",
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"synonyms": ["Data Structure", "Schema"],
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"examples": [
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"Our data model allows us to efficiently manage relationships between customers and orders.",
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"The data model was designed considering scalability and performance requirements.",
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"This data model is used for storing information about social network users."
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]
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},
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{
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"id": 4,
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"word": "Regression",
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"translation": "Регрессия",
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"definition": "A statistical method used to determine the relationship between one variable and others.",
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"synonyms": ["Linear Regression", "Nonlinear Regression"],
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"examples": [
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"We applied linear regression to analyze the impact of advertising campaigns on sales.",
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"Results from the regression analysis showed a strong correlation between customer age and purchase frequency.",
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"Regression helped us assess how changes in environmental conditions affect crop yield."
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]
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},
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{
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"id": 5,
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"word": "Clustering",
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"translation": "Кластеризация",
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"definition": "The process of grouping similar objects into clusters so that objects within the same cluster are more similar to each other than to those in other clusters.",
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"synonyms": ["Grouping", "Segmentation"],
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"examples": [
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"Clustering allowed us to divide customers into several groups according to their purchasing behavior.",
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"Clustering methods are used to automatically group news by topic.",
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"As a result of clustering, several market segments were identified, each with its own characteristics."
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]
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},
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{
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"id": 6,
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"word": "Supervised Learning",
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"translation": "Обучение с учителем",
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"definition": "A type of machine learning where the algorithm learns from labeled data, meaning data for which correct answers are known.",
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"synonyms": ["Controlled Learning", "Labeled Classification"],
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"examples": [
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"Supervised learning is used to classify emails as spam or not-spam.",
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"This approach was used to create a model that predicts real estate prices based on multiple parameters.",
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"Supervised learning helps diagnose diseases at early stages through medical data analysis."
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]
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},
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{
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"id": 7,
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"word": "Data Labeling",
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"translation": "Разметка данных",
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"definition": "The process of assigning labels or classes to data so it can be used in supervised learning.",
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"synonyms": ["Data Annotation", "Tagging"],
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"examples": [
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"Before starting model training, we labeled the data by assigning each photo an animal category.",
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"Data labeling includes marking user reviews as positive or negative.",
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"Text documents were labeled with special tags for subsequent analysis."
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]
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},
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{
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"id": 8,
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"word": "Hyperparameters",
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"translation": "Гиперпараметры",
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"definition": "Parameters that define the structure and behavior of a machine learning model, set before the learning process begins.",
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"synonyms": ["Model Settings", "Configuration Parameters"],
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"examples": [
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"Optimizing hyperparameters enabled us to enhance the performance of our machine learning model.",
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"Hyperparameters include settings such as the number of layers in a neural network and the learning rate.",
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"Choosing the right hyperparameters is crucial for achieving high model accuracy."
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]
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},
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{
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"id": 9,
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"word": "Model Validation",
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"translation": "Валидация модели",
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"definition": "The process of evaluating the quality of a model by testing it on new, previously unseen data.",
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"synonyms": ["Model Testing", "Model Verification"],
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"examples": [
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"After completing the training, we validated the model using a test dataset.",
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"During model validation, its ability to make accurate predictions on new data is checked.",
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"Validation showed that the model is robust against changes in data and has low generalization error."
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]
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}
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]
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}
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]
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