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What is Machine Learning? Definition, Types, Applications, and more

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What is Machine Learning? Definition, Types, Applications, and more

What is Machine Learning: It is an application of AI & gives devices the ability to learn from their experiences without explicit coding.

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Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a. Supervised Learning Learns from labeled data. Goal: Predict output for new inputs. Common tasks: Classification, Regression. Examples: Linear Regression, Decision Trees, SVM. b. Unsupervised Learning Learns from unlabeled data. Goal: Discover hidden patterns. Common tasks: Clustering, Dimensionality Reduction. Examples: K-Means, PCA, DBSCAN. c. Semi-Supervised Learning Uses a small amount of labeled data large unlabeled data.

Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a.

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The Python Machine Learning Roadmap guides you through essential steps to become proficient in ML. #MachineLearning #PythonProgramming #DataScience #fblifestyle | Pybeginners

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Machine Learning Basics

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About the Author

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Machine Learning Basics | Built In

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