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 machine learning engineer and data scientist meet in the office to discuss a project.

Machine Learning Engineer vs. Data Scientist: What’s the Difference?

Learn about the differences between machine learning engineers versus data scientists, from education and skill requirements to job responsibilities.

April 10, 2024

Article

[Featured Image] A data scientist uses graph neural networks to make predictions.

An Introduction to Graph Neural Networks

Graphs are a powerful tool to represent data, but machines often find them difficult to analyze. Explore graph neural networks, a deep-learning method designed to address this problem, and learn about the impact this methodology has across industries.

April 10, 2024

Article

[Featured Image] A group of students sit at laptops during a seminar and discuss differences between machine learning vs. neural networks.

Machine Learning vs. Neural Networks: What’s the Difference?

Learn about the differences between machine learning and neural networks, as well as relevant careers in these fields.

April 10, 2024

Article

[Featured Image] An adult student sits at a laptop in a library, taking an online machine learning course and learns about the LSTM neural network.

What Is an LSTM Neural Network?

Learn what an LSTM neural network is, how it works, the benefits and limitations compared to other kinds of neural networks, common uses, and specific industry applications.

April 10, 2024

Article

[Featured Image] A data science employee sits at a laptop at a table and explores the various Python libraries that they can use for their job.

9 Python Libraries for Data Science

Learn about some of the more popular Python libraries for data science, what each is used for, their pros and cons, and how you can begin working with them.

April 10, 2024

Article