Books, Data Preparation and EDA - Data Science Current

Introducing our New Book: Implementing MLOps in the Enterprise

Iguazio

DECEMBER 14, 2023

With practical code examples and specific tool recommendations, the book empowers readers to implement the concepts effectively. After reading the book, ML practitioners and leaders will know how to deploy their ML models to production and scale their AI initiatives, while overcoming the challenges many other businesses are facing.

ML ML Data Science Data Preparation

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning Blog

SEPTEMBER 12, 2023

Email classification project diagram The workflow consists of the following components: Model experimentation – Data scientists use Amazon SageMaker Studio to carry out the first steps in the data science lifecycle: exploratory data analysis (EDA), data cleaning and preparation, and building prototype models.

Data Science

Data Science Data Scientist AWS ML

Data Science Current

Introducing our New Book: Implementing MLOps in the Enterprise

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

Webinars

Stay Connected