sop for PhD IN computer science

“My decision to become a machine learning researcher is a combined result of my professional and academic experiences. After my post-graduation in Computer Science, I joined Tata Consultancies Ltd. as a junior programmer. The stint allowed me to work on different Data Science projects for clients within and outside India. However, after working for about five years, I had the feeling that a corporate setting is limiting the academic in me. I have found that the pleasure of investigative learning comes from challenging assumptions and striving to achieve the impossible. I quit my job and joined the Delhi University as a research associate. My professional expertise has helped me coordinate the research team and work towards the final results promptly. At present, I am working with Dr. John Smith at IIT Madras on a model that can detect and label various elements from motion pictures. The project has shown a promising 85% accuracy, and the algorithms are being fine-tuned to scale the precision factor up. My primary contribution was the implementation of the algorithms into code. I wish to focus my research on Machine Learning, particularly on unsupervised learning that employs a Bayesian model. The goal is to develop a model that can recognize fragmented components from a video and rework it based on images of other similar objects in the data corpus. Although there are ongoing researches with similar end goals, none of them has explored the idea of implementing clustering with a high classification threshold. “