01 Oct Types of Machine Learning

We have covered some machine learning concepts. Let us move further and learn about the type of Machine Learning. Machine Learning is training a piece of software (called a model) to make predictions. This process can also generate content from data.

The following are the types of machine learning. This defines how the machine learns:

1. Supervised learning: The labeled data is used to train the model.
2. Unsupervised learning: The unlabelled data is used.
3. Semi-supervised learning: The training data includes a small amount of labeled and many unlabelled data.
4. Reinforcement learning: The model learns based on the rewards from the previous actions. It is a reward-based learning and works based on feedback.

Let us understand them one by one.

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• Applications of Machine Learning
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• What is a Machine Learning Model
• Steps to Build a Machine Learning Model
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• Inductive vs Deductive Machine Learning
• Bagging vs Boosting in Machine Learning
• What are Large Language Models (LLMs)
• Artificial Intelligence vs Machine Learning vs Data Science vs Deep Learning
• Types of Deep Learning
• Techniques for implementing Generative AI
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