What is machine learning?

In simple terms, machine learning is the use of massive amounts of data to answer complex questions.

Machine learning is a subset of artificial intelligence (AI) that seeks to analyze patterns in data to advance decision-making and learning. Though we might not notice machine learning, it’s everywhere in our lives. When we browse sites like Netflix or YouTube, we are recommended certain videos and shows to watch. That’s machine learning! Companies like Amazon or Google are also creating smart speakers that utilize machine learning, e.g., Siri, to become our personal assistants.

Why is machine learning important?

People and devices continuously generate data,​ and they aren’t stopping anytime soon. Data is the life of all businesses because it allows us to automate tasks and make data-driven decisions, which, in turn, eases our everyday lives.

Before, people had to analyze data to make decisions manually. However, as the amount of data in this world expands, it’s increasingly important to utilize AI and machine learning to capture data fully.

How and why should you become a machine learning engineer? Check out our machine learning blog post.

How is machine learning used?

Machine learning is very literally everywhere. It’s wherever data is being used and analyzed. For example, Google utilizes machine learning for its GPS navigation services or its search engine. Another application is image detection or fraud detection, which is often used by many financial holdings companies.

The use of machine learning has also exploded in the health industry. It is being used to detect health problems and make quick diagnoses. For example, health professionals use data on past skin cancer patients to develop a model that helps identify current patients with skin cancer. The potential for machine learning is boundless.

How can I begin learning?