R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
Sunil Kumar Chinnamgari has a Ph.D. in Computer Science (NLP and ML Specialization) and 14+ years of industry experience. He is an AI researcher, Lead Data Scientist, published author, and a frequent speaker.
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
Nº de artículo: 11849977

R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

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Nº de artículo: 11849977

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Sunil Kumar Chinnamgari has a Ph.D. in Computer Science (NLP and ML Specialization) and 14+ years of industry experience. He is an AI researcher, Lead Data Scientist, published author, and a frequent speaker.
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What Stands Out

Diverse Techniques
Covers supervised, unsupervised, and reinforcement learning methods, offering a comprehensive understanding of diverse machine learning approaches applicable to various data science challenges.
R 3.5 Compatibility
Utilizes R 3.5, ensuring compatibility with recent libraries and frameworks, enabling users to leverage modern tools for effective machine learning project implementations.
Hands-on Approach
Focuses on practical implementation with real-world projects, facilitating a deeper grasp of machine learning concepts and enhancing problem-solving skills for aspiring data scientists.

Detalles de producto

R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
Publisher Packt Publishing
Publication date January 14, 2019
Language English
Print length 334 pages
ISBN-10 1789807948
ISBN-13 978-1789807943
Item Weight 1.27 pounds (580 grams)
Dimensions 7.5 x 0.76 x 9.25 inches (19.1 x 1.9 x 23.5 cm)

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R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

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    Respuesta: Sunil Kumar Chinnamgari has published several research papers in Scopus, IEEE journals.

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ventajas

  • Comprehensive project examples
  • Clear explanations of concepts
  • Covers various learning techniques
  • Practical hands-on approach

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  • Some examples may be outdated.

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características y beneficios

  • Ph.D. in Computer Science (NLP and ML Specialization)
  • 14+ years of industry experience
  • AI researcher
  • Lead Data Scientist
  • Published author
  • Frequent speaker

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