Abstract: Recently, the Nature-Inspired Algorithm for problem-solving is now the field of interest for many researchers. The aim of this research work is to analyze the computational time and other ...

A P-8A Poseidon from the “Pelicans” of Patrol Squadron (VP) 45 flies by the aircraft carrier USS Nimitz (CVN 68). (U.S. Navy photo by Mass Communication Specialist 2nd Class Caitlin Flynn) WASHINGTON ...

I am a Software Engineer. I build and develop high-performing deep learning applications for real-world problems. I am a Software Engineer. I build and develop high-performing deep learning ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

As life grows increasingly digital, Americans rely on algorithms in their daily decision-making—to pick their music on Pandora, guide their program choices on Netflix, and even suggest people to date ...

Abstract: K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be ...

The implemented decision tree algorithm uses the information gain as partitioning criterion. The DT can handle categorical and continuous data. The parameters provided to the DT are the number of ...

I was using python 3.7 and the task at hand asked us to use keras. However I was not able to install Tensorflow or any other necessary package. As I saw that tensorflow is not compatible with python 3 ...