Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems. Course ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses.After ...

COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of Competitive Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS 336 or Permission of Instructor ... This course examines ...

Introduction to programming in Java. Introduction to the theory of algorithms: running time and correctness of an algorithm. Recursion. Data structures: arrays, linked lists, stacks, queues, binary ...

Deep learning vs. machine learning. I mentioned that deep learning is a form of machine learning. I’ll refer to non-deep machine learning as classical machine learning, to conform to common usage.