Prof. Ganesh Ramakrishnan is an Associate Professor at IIT Bombay. His research interests are Statistical Relational Learning, Information Extraction, Information Mining from Unstructured Resources, Information and Communication Technology for Rural Development, Machine Learning, and Optimization. He has worked extensively in the area of feature induction and relational learning in machine learning, including algorithms and data structures for scaling them up. Apart from these, Ganesh has made significant contributions to Sandhan, an Indian Language search engine; Programmable Machine Translation; Search over entities and relationships; BET, a tool for Inductive Logic Programming that integrates several existing algorithms and induction frameworks (BET stands for Background + Example = Theory).
EdX
Discover the essential principles of data structures in this foundational course offered by edX. Gain expertise in organizing and managing complex data sets effectively, a crucial skill for database management, internet indexing services, and algorithm design.
EdX
Discover the power of Standard Template Library (STL) in C++ as you delve into this advanced Computer Science course on Data Structures Implementation. Perfect for programmers looking to solidify their understanding and improve efficiency, this course will guide you through the implementation of major abstract data structures using object-oriented programming principles.
EdX
Discover the power behind some of the world's most innovative technologies with our Algorithms course on edX. Designed for beginners and advanced learners alike, this course will teach you how to effectively structure and utilize algorithms to tackle real-life challenges. Whether you're aiming to land a job at a leading tech company or simply want to improve your problem-solving skills, this course provides the essential knowledge needed to excel in algorithmic thinking.