Tech Glossary

What is ML?

ML (Machine Learning) is a branch of artificial intelligence that focuses on developing algorithms and models that can learn from and perform tasks based on data. By using different techniques and methods, machine learning systems can train themselves to improve their performance over time. A common use of ML is in predictive analytics, where the system uses past data to predict future events or behaviors. ML is also used in image recognition, voice recognition, natural language processing and much more. There are many different ML frameworks and tools available for developing and implementing machine learning models. Examples of popular ML frameworks include TensorFlow, Scikit-learn, and PyTorch. These tools offer different features and support for different types of machine learning tasks. ML has become increasingly popular in various industries and is used to optimize processes, improve decision making and enable new innovations. By using ML, companies can take advantage of their data to achieve better results and increase competitiveness in the market.