Coursera Staff

Editorial Team

Bio

Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact-checkers. Our articles are deeply researched and thoroughly reviewed to ensure we are providing trustworthy information and advice for any topic. We understand that taking the next step in your education or career can raise questions. We are here to provide actionable, reliable, and relevant answers so you can achieve your goals.

Articles

[Featured Image] A group of college students pose for a picture at graduation after earning their bachelor's degrees.

What Comes after a Bachelor’s Degree: 11 Options after Graduation

When you finish college, you have many options when it comes to your next steps, but that can also feel overwhelming. If you're wondering what comes after a bachelor's degree, this guide will provide you with 11 traditional and unique ideas.

March 20, 2024

Article

[Featured Image] A machine learning engineer studies a confusion matrix on their laptop.

What Is a Confusion Matrix?

Learn what a confusion matrix is and why professionals across industries value this tool. Plus, discover how to calculate and interpret key performance indicators from your confusion matrix.

March 20, 2024

Article

[Featured Image] A person who is moving into a new home looks at a real estate line graph on a laptop.

What Is a Line Graph?

Learn more about line graphs as we explore what this powerful visual tool is and why professionals across various industries use it.

March 20, 2024

Article

[Featured Image] A group of machine learning engineers sit at a computer and talk about tokenization in NLP.

Tokenization in NLP: What Is It?

Explore tokenization and learn about one of the key pieces of natural language processing. Plus, learn about tokenization uses across professional industries and how to decide whether tokenization is the right NLP method for your task.

March 20, 2024

Article

[Featured Image] A group of machine learning engineers gather around a desk to talk about regularization in machine learning.

Understanding Regularization in Machine Learning

Learn what machine learning is and why regularization is an important strategy to improve your machine learning models. Plus, learn what bias-variance trade-off is and how lambda values play in regularization algorithms.

March 20, 2024

Article