This document summarizes an introductory seminar presentation on evaluating different machine learning algorithms in wireless sensor networks. The presentation discusses the problem statement, objectives, introduction, literature review, block diagram, expected outputs, future applications, and plan of work. The literature review summarizes past research evaluating neural networks, genetic algorithms, and other machine learning methods for optimizing data transmission and increasing sensor node lifetime in wireless sensor networks. The block diagram shows the overall framework. The objectives are to optimize data transmission using machine learning and increase sensor node lifetime.