Foundations of Data Structures and Algorithms Specialization Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Typically, those systems are closely guarded secrets, but today, Microsoft open sourced the algorithm, hardware specification and Verilog source code for how it compresses data in its Azure cloud.

Microsoft's Space Partition Tree and Graph algorithm enables developers to apply vector search to traditional, audio and visual queries.