machine learning 4 beginner Edit

Machine learning is a field of artificial intelligence (AI) that focuses on developing algorithms and statistical models to enable computers to perform specific tasks without explicit instructions. Machine learning is in many ways the intersection of two disciplines - data science and software engineering. The goal of machine learning is to use data to create a predictive model that can be incorporated into a software application or service. Once models are created software developers integrate the models into applications where they're used to predict new data values (a process known as inferencing).

The fundamental idea of machine learning is to use data from past observations to predict unknown outcomes or values. Based on weather forecast predict the number of how ice creams they're likely to sell on a given day given the historical sales and weather records.

What is a Model

Model is something that can help you understand something that has happened in the past or predict the features. Below are some of the types of models.

1. Optimization Models
2. Statistical Models
3. Simulation Models

What is Training in ML

We cam think about machine learning models in mathematical terms. It can be taught of as a function to calculate an output value based on one or more input values. The process of defining that function is known as training

Inferencing

After the function has been defined, you can use it to predict new values in a process called inferencing. Or simply speaking once the model has been trained the trained model can be used to derive insights or answers from different data based on its learned patterns.