Computing & Internet      Networking & Security

Fundamentals of Machine Learning Algorithms

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£53.20
£49.16
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Book Details
Language
English
Publishers
LAP LAMBERT Academic Publishing (9 April 2024)
Weight
0.1 KG
Publication Date
09/04/2024
ISBN-10
6207483553
Pages
60 pages
ISBN-13
9786207483556
Dimensions
15 x 0.36 x 22 cm
SKU
9786207483556
Author Name
Mrs M.G. CHITRA (Author)
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In 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, Naïve 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.

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