Data Science Guide

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

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.

Predictive analytics, AKA prediction analytics, leverages data from both diagnostic and descriptive analytics to help predict future trends.

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

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

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

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

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

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