Application of Machine Learning for Software Engineers
Sunil Kumar Rajak, Shabanam Kumari, Mohit Kumar, Dhirendra Siddharth · Advances in systems analysis, software engineering, and high performance computing book series · 2024
Machine learning is becoming increasingly popular in software engineering due of its capabilities. By studying and learning from data using algorithms, software systems may improve their performance and adapt to new conditions without having to explicitly programme. Software engineers may use machine learning to build systems that learn and adapt over time, resulting in more effective and efficient issue solutions. Software engineering uses machine learning in a variety of ways, such as recommendation systems, natural language processing, video and image analysis, and predictive modelling. Machine learning is likely to have a significant impact on how software is built and used across industries as it becomes more widely used. The application of machine learning in software engineering has the potential to transform how software systems are created and utilised. Machine learning allows systems to learn and adapt to changing data and settings, resulting in more efficient and effective solutions to a variety of problems.