Welcome to Forethought India One-on-One Courses. Our program is designed to provide students with the skills and knowledge necessary to excel in their chosen profession. Our instructor for this course is Research Scientist Nitish Kumar Gupta at IISc Bangalore
"Graphs in Spectral Harmony: Exploring Spectral Graph Theory and Its Diverse Applications" is a comprehensive course designed to delve into the intricate realm of Spectral Graph Theory within a 30-minute lecture format. The course covers a broad spectrum of topics, beginning with an introduction to Graph Theory and essential terminologies. It progresses through the study of graph representations, including adjacency matrices and incidence matrices, and explores advanced concepts such as eigenvectors, eigenvalues, and their significance in spectral graph analysis. The lectures navigate through the applications of Laplacian matrices, graph connectivity, spectral drawing techniques, and spectral clustering methods. Moreover, this course extends into various real-world applications, including image segmentation, machine learning, social network analysis, quantum information theory, and topological data analysis. Each lecture provides a concise yet comprehensive understanding of spectral graph theory, allowing participants to grasp its fundamental principles, advanced methodologies, and practical applications across diverse fields.
At the end of the program, students will receive a certificate & performance letter by the eductor indicating that they have completed the program and acquired the necessary skills and knowledge to excel in their chosen profession.
Graphs in Spectral Harmony: Exploring Spectral Graph Theory, by Nitish Gupta
Nitish Gupta is an accomplished educator and seasoned professional in the field of Computer Science. With a Master of Technology (MTech) in Computer Science from the prestigious Indian Institute of Science (IISc), where he specialized in areas such as Machine Learning, Deep Learning, Natural Language Processing, and more, Nitish possesses a strong foundation in both theoretical knowledge and practical applications.
Prior to his current role, Nitish completed his Bachelor of Technology in Computer Science from Chandigarh College of Engineering & Technology, Panjab University. During his academic journey, he demonstrated consistent academic excellence, evident from his remarkable academic performances and active engagement in various extracurricular activities.
Having a passion for knowledge sharing and education, Nitish transitioned into the role of an educator after gaining valuable industry experience as an Applied Scientist at Amazon. In his current role, working with the Alexa ASR team, Nitish leverages his expertise in Python, Speech Recognition, TensorFlow, Machine Learning, and Deep Learning to enhance user experiences with Alexa.