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portada Fundamentals of Machine Learning Algorithms (in English)
Type
Physical Book
Author
Publisher
Language
Inglés
Pages
60
Format
Paperback
Dimensions
22.9 x 15.2 x 0.4 cm
Weight
0.10 kg.
ISBN13
9786207483556
Categories

Fundamentals of Machine Learning Algorithms (in English)

Ramya Govindaraj (Author) · M. G. Chitra (Author) · LAP Lambert Academic Publishing · Paperback

Fundamentals of Machine Learning Algorithms (in English) - Chitra, M. G. ; Govindaraj, Ramya

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Synopsis "Fundamentals of Machine Learning Algorithms (in English)"

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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