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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

The course on "Methods and Eigenvalue Problems in Numerical Linear Algebra" offers a comprehensive exploration of fundamental principles and advanced techniques essential in understanding eigenvalues and eigenvectors. Delving into the core concepts, the lectures cover various methods such as Power Iteration, QR Algorithm, Singular Value Decomposition (SVD), and the Lanczos Algorithm, providing a solid foundation for tackling eigenvalue problems in matrices. As the course progresses, it introduces advanced topics including Krylov Subspace Methods, Tridiagonalization, Generalized Eigenvalue Problems, and Tensor Decomposition, emphasizing their applications in diverse fields like image processing, quantum mechanics, structural engineering, data science, and optimization. Students will gain insight into both symmetric and non-symmetric eigenvalue problems, parallel algorithms, and the evolving trends and research in this dynamic field. Whether exploring the basics or delving into complex applications, this course equips learners with the knowledge and skills necessary to solve numerical eigenvalue problems and apply them in various real-world scenarios.

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.

Methods and Eigenvalue Problems in Numerical Linear Algebra, 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.