Stochastic Optimization for Large-scale Machine Learning

Chapter 8 Conclusion and Future Scope

DOI: 10.1201/9781003240167-8

The advancements in the technology and the availability of data sources have led us to the ‘Big Data’ era. One side, this large data has potential to uncover more fine-grained patterns, take timely and accurate decisions, but on the other side it creates a lot of challenges to make a sense of it, like, slow training and scalability of machine learning models etc. So, one of the major challenges in machine learning is to develop efficient and scalable learning algorithms, i.e., optimization techniques to solve large-scale learning problems.

We can tackle the challenge by working in following areas: problem formulations, problem solvers, optimization strategies to improve the ...