AutoML, or Automated Machine Learning, automates the entire ML model-building process for easier use.
It aims to make machine learning accessible to non-experts, reducing the need for advanced data science skills.
AutoML automates data preparation, model selection, feature engineering, and hyperparameter tuning.
AutoML, or Automated Machine Learning, automates the entire ML model-building process for easier use.
AutoML is applied in many sectors for tasks like image recognition, natural language processing, and forecasting.
Key platforms include Google Cloud AutoML, Azure AutoML, and open-source libraries such as Auto-sklearn.
Techniques include hyperparameter optimization, neural architecture search, and transfer learning.
AutoML is shaping the future by enabling faster, smarter, and more accessible machine learning worldwide.