Ph.D Guidance in Machine Learning

Machine learning constitutes a vital role in Artificial intelligence and deals with the ability of machines to learn from the massive amount of data using knowledge representation, processing, and storing. Recently, machine learning has received great unprecedented popularity with the development of several new areas. The previously established research areas have also gained new momentum in big data analysis.The tremendous growth in the quantity of digital data, affordable computing resources, and optimization algorithms has enabled the application of machine learning techniques for the breakthrough of artificial intelligence. For instance, large quantities of medical data are analyzed for diagnosis and treatment. The machine learning techniques analyze the medical data and determine the patterns in biosignals.

They drive advances in healthcare and medical research. The recent research on machine learning algorithms attempts to solve the following challenges, 1) Developing the machine learning algorithms that can computationally scale to Big data, 2) Designing algorithms that do not require large amounts of labeled data, 3) Designing a resource efficient machine learning methods, and 4) developing a privacy preservation techniques for various applications.

  • Research Proposal in Machine Learning
  • Problem Identification in Machine Learning
  • Research Methodology
  • Mathematical Model / Formulation
  • Literature Survey in Machine Learning
  • System Design and Implementation
  • Performance Analysis and Results
  • Writing Services: Journal Papers, Synopsis and Thesis

Courses

  • Ph.D – Computer Science and Engineering, Computer Science, Computer Application, Information Technology and Computer Networks
  • M.E/M.Tech/M.S – Computer Science and Engineering, Computer Science, Computer Application, Information Technology and Computer Networks.