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Introduction to Machine Learning

Introduction to Machine Learningvon Rajkumar Banoth Sie sparen 19% des UVP sparen 19%
Über Introduction to Machine Learning

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.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786138964193
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 192
  • Veröffentlicht:
  • 19. November 2021
  • Abmessungen:
  • 150x12x220 mm.
  • Gewicht:
  • 304 g.
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Beschreibung von Introduction to Machine Learning

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.

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