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OverviewIn machine learning, models and algorithms can learn from data and make predictions or judgments without explicit programming are developed. Machine learning is a subfield of artificial intelligence (AI). Machine learning uses a wide range of important algorithms and techniques. A list of machine learning algorithms is shown below: Support Vector Machine Algorithm, Decision Tree Classification Algorithm, Random Forest Algorithm, Logistic Regression Algorithm, Linear Regression Algorithm, K-Nearest Neighbor (KNN) Algorithm, Na�ve Bayes Classifier Algorithm, K-Means Clustering Algorithm, XG-Boost Algorithm. These algorithms are employed in many different areas, such as robotics, marketing, healthcare, and finance, and they form the foundation of machine learning. The choice of algorithm is influenced by the nature of the problem, the characteristics of the data, and the available computing capacity. Full Product DetailsAuthor: Mrs M G Chitra , Dr Ramya GovindarajPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.100kg ISBN: 9786207483556ISBN 10: 6207483553 Pages: 60 Publication Date: 09 April 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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