Algorithms

What is machine learning? Data Sciences, Big Data Analytics, Artificial Intelligence, Predictive Analytics, Computational Statistics… all these fancy words spin around your world? They sure would. So let me put it plain and simple. Machine Learning is about teaching computers how to learn from data to make decisions or predictions…

Let us assume you are given an array and you are asked to return the largest element in the array. Then there are two possibilities for this to think of, one is if the array is sorted, then we can directly return the last element in the array. If the…

Hello Mate, Let’s discuss problem statement. We have a long string we have find out maximum repeated work in the given string. we have to return output in given format. {word:’you’, count:5} let str = "this is restr you we there top news You we there you We There you…

Big data : algorithms, analytics, and applications Size:52 MB (54303977 bytes) Extension:pdf Author(s): Kuan-Ching Li Series: Chapman & Hall/CRC big data series Publisher: CRC Preess, Year: 2015 ISBN: 9781482240566,1482240564 Description: As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how…

I want to start another series of articles about lock-free algorithms and how we can implement them using swift atomics framework. It’s a very complicated topic with a lot of hidden stones there. I want to mention that it’s very difficult to debug and find mistakes. Sometimes algorithms can behave…

When analyzing an algorithm in the context of Complexity Theory, it is common to use the term “algorithm complexity”. Every algorithm has its own complexity and a lot of them are related to eachother in what is known as Complexity Classes. An algorithm complexity is based on counting the number…