All articles
what is machine learning

What Is Machine Learning (ML)

Estimated read time: 2 minutes

ML is a capability within the overarching umbrella of “Artificial Intelligence” (AI). Check out some pros and cons of this advanced technology in this blog post.

Organizations use ML data science to create computer systems that can “learn” without explicit programming for “learning”. How do these computer systems learn then? Well, they learn to identify data points from very large pools of data.

ML or AI solutions utilize computer algorithms that study and analyze this training data, moreover, these algorithms can observe patterns. E.g., ML algorithms can identify examples, experiences, instructions, etc. in the data sets.

The basic design of AI and ML means that you can use it for pretty much anything. Depending on the training set, the input data, the AI predictor or system can learn just about anything. This AI tutorial explains this in-depth.

After being trained by data scientists, these algorithms can then go on to make decisions and predictions. As we feed larger data sets to them, they learn to perform their tasks better and better thereby boosting performance. You can read our guide “Machine Learning in future software development” for more deep learning insights.

Hire expert developers for your next project

Trusted by


What is the difference between ML and AI?

ML is a subset of AI that is focused on making predictions based on its ability to learn from numerous different data sets.

What are some uses of ML?

Everything from chatbots to supply chain automation are examples of current ML uses.

Can an ML system think?

While not comparable to the complexity of human thought which includes an idea of the self and consciousness, ML systems are able to learn to undertake and provide a reliable perspective on many tasks.


Alexey Semeney

Founder of DevTeam.Space

gsma fi band

Hire Alexey and His Team
To Build a Great Product

Alexey is the founder of DevTeam.Space. He is award nominee among TOP 26 mentors of FI's 'Global Startup Mentor Awards'.

Hire Expert Developers

Some of our projects

Fitness App


Paying users

United States

Android, Android Kotlin, Health, iOS, Mobile, QA, Swift

A mobile fitness app for a famous YouTube blogger. 100K paying users within two weeks.

Telecommunication Management Center


United States

Backend, Communication, DevOps, Java, Software

Designing, implementing, and maintaining continuous integration for an enterprise multi-component telecommunications web application.

Cryptocurrency Exchange


United States

Blockchain, Ethereum, Fintech, Javascript, React, Smart Contracts, Solidity, Trading, Truffle, Web

A cryptocurrency wallet and an exchange platform to trade fiat currencies and crypto tokens.


Read about DevTeam.Space:


New Internet Unicorns Will Be Built Remotely


DevTeam.Space’s goal is to be the most well-organized solution for outsourcing


The Tricks To Hiring and Managing a Virtual Work Force

Business Insider

DevTeam.Space Explains How to Structure Remote Team Management

With love from Florida 🌴

Tell Us About Your Challenge & Get a Free Strategy Session

Hire Expert Developers
Hire expert developers with DevTeam.Space to build and scale your software products

Hundreds of startups and companies like Samsung, Airbus, NEC, and Disney rely on us to build great software products. We can help you, too — 99% project success rate since 2016.