Machine Learning

1. What’s Machine Learning?

Machine Learning is a branch of artificial intelligence that focuses on the development of algorithms and models that allow machines to learn patterns from data. Instead of explicitly programming instructions to perform a task, machine learning uses data to train models and improve their performance over time.

2. What’s the function of Machine Learning?

Machine Learning has applications in a wide variety of fields, from speech recognition and churn analysis to predict possible user churn of a given product or service, to recommendations on online platforms and real-time forecasts. For example, in web development it could be used to personalize the user experience, improving site security or even analyze visitor behavior to optimize site location, colors or text.
Machine Learning has also had a booming popularity in recent years due to the improvement of many classification algorithms, having multiple applications from medicine to predict a patient’s tendency to get sick, recommend preventive maintenance of machinery and equipment taking into account the use data or the prediction of climatic data or analysis of biological species.

3. Machine Learning fields.

• Data classification.
• Data prediction.
• Clustering.
• Reduction of data dimensionality.
• Reinforcement learning.
• Natural language processing (NLP).