Introduction to Machine Learning

Rajkumar Banoth

ISBN 10: 6138964195 / ISBN 13: 9786138964193

Verlag: Scholars' Press Nov 2021, 2021

Beschreibung

Neuware -In the field of Artificial Intelligence and Machine Learning refers to ¿train the machine for getting more accurate results in automation¿. Today everything is going on with Machine Learning which means that any industry like medical, agriculture and finance uses the ML models to get more accurate and continues results.To fulfill the need of implementation of Machine Learning models, this kind of book long awaited. This book contains few important aspects of Machine Learning, like: Introduction to Machine Learning, Supervised and Unsupervised Learning, Ensemble and Probabilistic Learning, Reinforcement Learning and Evaluating Hypotheses, Genetic Algorithms. Efforts have been made to present the precise and concrete understanding of subject. We hope that students will recognize and grasp fundamentals, various models and core themes of Machine Learning.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.

Bestandsnummer des Verkäufers 9786138964193

Bibliografische Details

• Titel: Introduction to Machine Learning
• Verlag: Scholars' Press Nov 2021
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 6138964195
• ISBN-13: 9786138964193
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

In the field of Artificial Intelligence and Machine Learning refers to “train the machine for getting more accurate results in automation”. Today everything is going on with Machine Learning which means that any industry like medical, agriculture and finance uses the ML models to get more accurate and continues results.To fulfill the need of implementation of Machine Learning models, this kind of book long awaited. This book contains few important aspects of Machine Learning, like: Introduction to Machine Learning, Supervised and Unsupervised Learning, Ensemble and Probabilistic Learning, Reinforcement Learning and Evaluating Hypotheses, Genetic Algorithms. Efforts have been made to present the precise and concrete understanding of subject. We hope that students will recognize and grasp fundamentals, various models and core themes of Machine Learning.