Artificial intelligence and Machine learning have become emerging growth in recent years. The concept of Data points, Features, Feature spaces and Similarity measures falls into two main areas of machine learning namely supervised learning and Unsupervised Learning. Machine learning algorithms deals with the data and datasets. The main difference between the supervised and unsupervised learning is to predict the labelled and unlabeled data.

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An Analysis of Machine Learning Tools and Algorithms

  • R. Sindhuja,
  • R. Nanmaran,
  • A. Madhan Kumar

摘要

Artificial intelligence and Machine learning have become emerging growth in recent years. The concept of Data points, Features, Feature spaces and Similarity measures falls into two main areas of machine learning namely supervised learning and Unsupervised Learning. Machine learning algorithms deals with the data and datasets. The main difference between the supervised and unsupervised learning is to predict the labelled and unlabeled data.