Automated Machine Learning and Industrial Applications

The book provides a comprehensive understanding of Automated Machine Learning’s transformative potential across various industries, empowering users to seamlessly implement advanced machine learning solutions without needing extensive expertise.Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems.The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment.The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning.This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models.Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML. Automated Machine Learn