Meaning of Machine Learning (ML)

Simple definition

Machine Learning is a type of artificial intelligence that enables computer systems to learn from data, identify patterns, and make predictions without explicit programming.

How to use Machine Learning (ML) in a professional context

In digital marketing, ML is used for predictive analytics, such as customer segmentation, lead scoring, and personalized recommendations.

Concrete example of Machine Learning (ML)

In e-commerce, ML can be used to recommend products to customers based on their purchase history and behavior.

What is the difference between AI and ML?

AI refers to the broader concept of creating systems that mimic human intelligence, while ML is a subset of AI focused on systems learning from data.

How is ML used in business?

ML is used to automate tasks, identify trends, and optimize processes, often leading to improved efficiency and decision-making.

What are some common ML algorithms?

Common ML algorithms include linear regression, decision trees, and neural networks.
Related Blog articles
Tokyo Founders Night: what it takes to build a startup today

Tokyo Founders Night: what it takes to build a startup today

On a rainy evening in Tokyo, founders, aspiring entrepreneurs and students came to the Google...

Alumni Story: how Matt launched a music royalty tech startup in Seoul | Le Wagon

Alumni Story: how Matt launched a music royalty tech startup in Seoul | Le Wagon

After years spent producing music, Matt realized the industry's royalty systems were broken and decided...

Alexandre, bridging the technical gap at Revolut

Alexandre, bridging the technical gap at Revolut

Alexandre works in sales at Revolut. When clients ask technical questions, he doesn't need to...

    Suscribe to our newsletter

    Receive a monthly newsletter with personalized tech tips.