Senior Consultant

Interpretation of ML Results

When it comes to the interpretation of machine learning (ML) results, it is crucial to have a clear understanding of the data and the algorithms used. Proper interpretation helps in making informed decisions based on the models created.

Job Responsibilities

As part of interpreting ML results, the following job responsibilities are typically expected:

Software Engineering

• Proficiency in programming languages used in ML, such as Python and Java.
• Knowledge of software development best practices and methodologies.
• Experience with version control systems (e.g., Git).