Machine Learning (ML)

Machine learning (ML) enables computers and machines to learn from data without being explicitly programmed. In other words, machine learning allows machines to learn patterns and make predictions based on examples rather than following strict rules.

Machine learning algorithms can be used to analyze and make predictions on large datasets and are used in various applications, such as image recognition, natural language processing, and recommendation systems. Machine learning algorithms are also commonly used in the finance, healthcare, and transportation industries to make data-driven decisions.

One of the key benefits of machine learning is its ability to improve over time as it is exposed to more data. This process is known as “learning from experience” or “learning by example.” Machine learning models can also be trained to identify patterns and relationships that are not immediately apparent to humans.

Machine learning is a powerful tool for enabling machines to learn from data and make predictions based on that learning.

By Martin Liguori

I have been working on IT for more than 20 years. Engineer by profession graduated from the Catholic University of Uruguay, and I believe that teamwork is one of the most important factors in any project and/or organization. I consider having the knowledge both developing software and leading work teams and being able to achieve their autonomy. I consider myself a pro-active, dynamic and passionate person for generating disruptive technological solutions in order to improve people's quality of life. I have helped companies achieve much more revenue through the application of decentralized disruptive technologies, being a specialist in these technologies. If you want to know more details about my educational or professional journey, I invite you to review the rest of my profile or contact me at martin@infuy.com