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Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data.
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 ...
This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.
Next, we introduce the heap data structure and the basic properties of heaps. This is followed by algorithms for insertion, deletion and finding the minimum element of a heap along with their time ...
Most medical algorithms are trained on data collected in New York, California, and Massachusetts. That might skew they’re accuracy if they’re used in other places, researchers suggest.
Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.
But there’s another frontier of AI and algorithms that should worry us greatly: the use of these systems in medical care and treatment. The use of AI and algorithmic decision-making systems in ...
Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.
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