Machine Learning Development Environment

The development environment that you use for machine learning may be just as important as the machine learning methods that you use to solve your predictive modeling problem.

A few times a week, I get a question such as:

What is your development environment for machine learning?

In this post, you will discover the development environment that I use and recommend for applied machine learning for developers.

After reading this post, you will know:

• The important distinctions between the role of workstation and server hardware in machine learning.
• How to ensure that your machine learning dependencies are installed and updated in a repeatable manner.
• How to develop machine learning code and run it in a safe way that does not introduce new issues.

Let’s get started.

What does your machine learning development environment look like?
Let me know in the comments below.

Hardware for Machine Learning

Whether you are learning machine learning or are developing large models for operations, your workstation hardware
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