Machine learning and artificial intelligence-based projects are obviously what the future holds. We want better personalization, smarter recommendations, and improved search functionality. Our apps can see, hear, and respond — that’s what artificial intelligence (AI) has brought, enhancing the user experience and creating value across many industries.

What makes Python the best programming language for machine learning and the best programming language for AI?

AI projects differ…


Is it better to learn R or Python for a career as a data analyst? Learn more about how to choose the best statistical programming language for your career goals.

If you’re getting started in data analysis, you’ll find that one of the most important skills is proficiency in a…


1.TensorFlow

The first in the list of python libraries for data science is TensorFlow. TensorFlow is a library for high-performance numerical computations with around 35,000 comments and a vibrant community of around 1,500 contributors. It’s used across various scientific fields. TensorFlow is basically a framework for defining and running computations that…


This post was created in collaboration with Claudio Acquaviva, Solution Engineer, Kong, and Morgan Davies, Kong Alliances.

A service mesh is transparent infrastructure layer that has become a common architectural pattern for intra-service communication. By combining Amazon EKS and AWS App Mesh, you form a powerful platform for your microservices…


Everything was good until a few aspirants pointed out that there are too many resources and many of them are expensive. Python programming was the only branch that had a number of really good courses, but it ends right there for beginners.

A few important questions on foundational data science…


As Big Data continues to grow in importance at Software as a Service (SaaS) companies, the field of Big Data analytics is a safe bet for any professional looking for a fulfilling, high-paying career.

If you’re considering starting or advancing your career in the field of Big Data and data…


One of my favorite features introduced to Tableau in the past couple of years has the ability to use relationships in data models. If you aren’t familiar with data modeling using relationships. …


Plenty of packages implement the Scikit-learn estimator API.

If you’re already familiar with Scikit-learn, you’ll find the integration of these libraries pretty straightforward.

With these packages, we can extend the functionality of Scikit-learn estimators, and I’ll show you how to use some of them in this article.

Data formats

In this section…


Introduction

The microservices architectural pattern is an architectural style that is growing in popularity, given its flexibility and resilience. Together with technologies such as Kubernetes, it is getting easier to bootstrap an application using a Microservices architecture as never before.

In short, the microservice architectural style is an approach to developing…


This article has a bit more of DevOps flavour than the previous articles, focused more on Elixir. In this article I show how to easily run a multi-zone Kubernetes cluster on AWS, where we’ll deploy a Phoenix Chat application.

If you want to Gain In-depth Knowledge on AWS, please go…

Priya Reddy

Hey This Is priya Reddy Iam a tech writer

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