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Introduction to ML

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Introduction to ML
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I am Junior Data Scientist, using python for my analysis and modelling. I have few projects i have worked on and I'm loving this process. I'm open to working with anyone willing to help me through this process.

Machine learning (ML) is a modern software development technique, and a type of artificial intelligence (AI), that enables computers to solve problems by using examples of real-world data. It allows computers to automatically learn and improve from experience without being explicitly programmed to do so.

Terminology Machine learning, or ML, is a modern software development technique that enables computers to solve problems by using examples of real-world data.

In supervised learning, every training sample from the dataset has a corresponding label or output value associated with it. As a result, the algorithm learns to predict labels or output values.

In reinforcement learning, the algorithm figures out which actions to take in a situation to maximize a reward (in the form of a number) on the way to reaching a specific goal.

In unsupervised learning, there are no labels for the training data. A machine learning algorithm tries to learn the underlying patterns or distributions that govern the data.

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