Data Science Guide

Machine learning platforms provide users with the tools necessary to develop, deploy, and improve machine learning — specifically, machine learning algorithms.

Artificial Intelligence (AI) is rooted in the understanding that a computer can absorb information from its surroundings and learn accordingly, just like a human.

Applications of artificial intelligence (AI) are the wide-ranging uses businesses and organizations have found to harness and take advantage of Big Data.

With the growth of Big Data, analytics and business intelligence (BI) are guiding the decision-making process.

Spark Tensorflow: TensorFlow is an open-source project library from Google for machine learning

Apache Spark is a real-time data processing system with support for diverse data sources and programming styles.

A data science pipeline is the set of processes that convert raw data into actionable answers to business questions.

In this post, we’ll explain what data processing is and explore the changes that have created new demands on data processing.

Machine learning is an application of artificial intelligence (AI) that enables systems to learn automatically and improve through experience without the assistance of explicit programming.