Python for AI and Machine Learning

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Why use Python for AI?

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Python provides a clear and readable syntax, extensive libraries and frameworks, strong community support, and a collaborative environment.

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What are some key Python frameworks for AI?

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TensorFlow, PyTorch, and Scikit-learn.

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What is Artificial Intelligence (AI)?

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AI enables computer systems to perform tasks requiring human intelligence, such as problem-solving and decision-making.

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What are the subsets of AI?

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Machine learning (ML), deep learning (DL), natural language processing, computer vision, robotics, and generative AI.

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What is supervised learning?

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Supervised learning involves training an algorithm on a labeled dataset, where each input is paired with its corresponding output.

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Name some regression algorithms used in supervised learning.

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Linear Regression, Polynomial Regression, Support Vector Regression (SVR).

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Name some classification algorithms used in supervised learning.

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Logistic Regression, Decision Trees, Ensemble Classifiers, Support Vector Machines (SVM), k-Nearest Neighbors (kNN), Naive Bayes.

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What is unsupervised learning?

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Unsupervised learning involves providing the algorithm with unlabeled data to find patterns or relationships.

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Name some clustering algorithms used in unsupervised learning.

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K-means, Hierarchical Clustering, DBSCAN.

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What is reinforcement learning?

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Reinforcement learning involves an algorithm learning by interacting with an environment and receiving feedback in the form of rewards or penalties.