Basic Concepts in Algorithms focuses on paradigms and methods combining basic programming constructs as building blocks and shows their usefulness in the derivation of algorithms. The coverage of ...

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

This online data science specialization will teach you the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is ideal for learners ...

Ever wondered how computers multiply huge numbers with hundreds or even thousands of digits? The process may seem simple, but it gets incredibly complex as numbers grow. In this video, we explore the ...

Algorithm developers and product managers need new ways to think about, design, and implement algorithmic systems in publicly accountable ways.