Jan. 13, 2022, 2:13 p.m. | Zeya

Towards Data Science - Medium towardsdatascience.com

A simple way of using machine learning to help me in my everyday life.

Photo by Sven Mieke on Unsplash

In this day and age, machine learning (ML) is widely applied in almost every industry, tackling some of the most complex challenges. It is used in medical diagnosis of illnesses, detection of fraud, self-driving cars, facial recognition, recommendation systems etc. In most applications, the use of ML produces large-scale impact and benefits the masses.

But, does it always have to …

binary-classification data machine learning predictive predictive modeling real-time time web-applications

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Staff Software Engineer, Generative AI, Google Cloud AI

@ Google | Mountain View, CA, USA; Sunnyvale, CA, USA

Expert Data Sciences

@ Gainwell Technologies | Any city, CO, US, 99999