Web: https://towardsdatascience.com/exploring-the-ml-tooling-landscape-part-2-of-3-8e4f3e511891?source=rss----7f60cf5620c9---4

May 12, 2022, 4:26 a.m. | Tom Martin

Towards Data Science - Medium towardsdatascience.com

Current ML tooling and adoption

Photo by Possessed Photography on Unsplash

In the previous blog post in this series, we examined overall machine learning (ML) maturity in industry with a specific focus on machine learning operations (MLOps). The two main takeaways were the striking lack of ML maturing in industry as a whole, as well as the complexities involved in fully embracing MLOps, which can be taken to represent the apogee of ML maturation. In this blog post, we will …

ai data science landscape machine learning ml mlops part startup tooling

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY

Data Analyst

@ Colorado Springs Police Department | Colorado Springs, CO

Predictive Ecology Postdoctoral Fellow

@ Lawrence Berkeley National Lab | Berkeley, CA

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India