Introduction
Automated machine learning is the process of automating the end-to-end process of any machine and it allows us to easily deal with data analysis and complex problems to accelerate the business process. It increases productivity and accuracy by automating repetitive tasks and reduce time consumption. It enables the use of data science to develop AI Technology without expending time and money.
It enables artificial intelligence-based real-time solution and makes it possible to automatically generates a data analysis pipeline that can include various steps such as PreProcessing of data, feature engineer, Diverse Algorithm, Training and tuning, ensembling, feature engineering methods, and many more which help to avoid errors and enables a data scientist to focus more on the problem rather than the models.
How automated machine learning is better than the traditional approach of machine learning?
Conclusion
Automated machine learning software enables organizations to improve their productivity in thereat time business process. It provides many tools such as Amazon lex, AutoFolio, Auto-Keras, and etc. Which helps to drive the business process for success and growth. Oodles technology also using automated machine learning technology to achieve accuracy and focus more on complex problems in less time.