Sadiq

In security, machine learning continuously learns by analyzing data to find patterns so we can better detect malware in encrypted traffic, find insider threats, predict where “bad neighborhoods” are online to keep people safe when browsing, or protect data in the cloud by uncovering suspicious user behavior.

AI is the broader concept of creating intelligent machines, while ML, Deep Learning, NLP, and Computer Vision are specific subfields within AI. ML focuses on algorithms that allow computers to learn and make predictions from data. Deep Learning employs artificial neural networks to model complex patterns.

Machine learning engineers are further down the line than data scientists within the same project or company. 

A data scientist, quite simply, will analyze data and glean insights from the data. 

A machine learning engineer will focus on writing code and deploying machine learning products.