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