Pluralsight – Machine Learning in the Enterprise 2024-9

Published on: 2024-10-19 21:53:23

Categories: 28

Description

Machine Learning in the Enterprise course. This course provides a practical approach to the machine learning process in organizational environments. In this course, using a real example, you will learn about the challenges of a machine learning team facing different business needs and applications. In this course, you will encounter a real scenario where a machine learning team needs to build machine learning models to solve multiple business problems. The team must make important decisions about the tools and methods they will use to build the model. In this course, you will learn how to prepare data, choose the best model for each problem, and train your models. Also, you will learn about common challenges you face in implementing machine learning models in real-world environments.

What you will learn

Deep understanding of the machine learning process in real-world environments: You will learn about the practical challenges a machine learning team faces.
Data Governance and Management: You will understand the importance of data governance and management tools for successful machine learning projects.
Data preprocessing: You will learn about different data preprocessing methods and its importance in improving the performance of models.
Choosing the best tool for model building: Learn about three different options for building machine learning models (AutoML, BigQuery ML, and custom training) and learn how to choose the best option for each application.

This course is suitable for people who:

Looking for a deep understanding of the machine learning process in real environments.
They want to learn about the practical challenges of implementing machine learning models.
Looking to learn best practices for data management and governance.
They want to learn about different tools for building machine learning models.
Looking to increase their skills in the field of machine learning.