{"id":36563,"date":"2024-11-01T09:49:35","date_gmt":"2024-11-01T09:49:35","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=36563"},"modified":"2024-11-01T11:52:42","modified_gmt":"2024-11-01T11:52:42","slug":"deep-learning-pytorch-course-what-is-machine-learning","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/36563\/","title":{"rendered":"Deep Learning PyTorch Course, What is Machine Learning"},"content":{"rendered":"

<\/p>\n

1. Definition of Machine Learning<\/h2>\n

Machine Learning is a subfield of artificial intelligence that enables computers to learn from data and perform specific tasks. Typically, machine learning is characterized by the use of algorithms that can learn without being explicitly programmed. This is very useful for recognizing patterns in data, making predictions, and automating decision-making.<\/p>\n

2. Basic Principles of Machine Learning<\/h2>\n

Machine learning models generally operate through the following process:<\/p>\n

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  1. Data Collection: Collect the data to be used for learning.<\/li>\n
  2. Data Preprocessing: Perform tasks such as handling missing values and normalization to improve the quality of the data.<\/li>\n
  3. Model Selection: Choose a machine learning model that is suitable for the problem.<\/li>\n
  4. Training: Train the selected model using the data.<\/li>\n
  5. Evaluation: Assess the model’s performance and adjust it if necessary.<\/li>\n
  6. Prediction: Use the trained model to make predictions on new data.<\/li>\n<\/ol>\n

    3. Types of Machine Learning<\/h2>\n

    Machine learning can primarily be divided into three types:<\/p>\n