Isbn: 9789390620098 - artificial intelligence and machine learning: theory and practice (2 risultati)

Perfeziona la tua ricerca

  • Libri (2)

  • Nuovo (2)

a

Fascia di prezzo personalizzata (EUR)

a

    • Lingua: Inglese

      Editore: I K International, New Delhi

      9390620090 / 9789390620098

      Da: Books in my Basket, New Delhi, IndiaBooks in my Basket

      Venditore con 5 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 9,48

      EUR 18,00 spedizione 
      Spedito da India a U.S.A.

      Quantità: 4 disponibili

      N.A. Condizione: New. ISBN:9789390620098.

    • Lingua: Inglese

      Editore: IK International, 2023

      9390620090 / 9789390620098

      • Brossura

      Da: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd

      Venditore con 4 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 19,96

      EUR 17,50 spedizione 
      Spedito da India a U.S.A.

      Quantità: 5 disponibili

      Soft cover. Condizione: New. This book is designed for undergraduates, postgraduates and professionals who want to have a firm grip on the fundamental principles of AI and ML. Artificial Intelligence (AI) is a broad area of knowledge which has percolated into every aspect of human life. ';Machine Learning algorithms' are considered to be a subset of AI Theory, mathematics and coding are three aspects to any topic in AI. This book covers the most relevant topics in the field of Artificial Intelligence and Machine Learning (ML). The subdivisions of Machine Learning are Supervised, Unsupervised and Reinforcement learning. All three are covered in sufficient depth. One very important and upcoming field of application is Natural Language Processing (NLP). A whole section of the book has been devoted to this. The book covers the conceptual, mathematical and numerical analysis of the important ML algorithms and their practical applications. The topics covered include AI search algorithms, Classical machine learning, Deep learning theory and popular networks, Natural Language Processing (NLP) and Reinforcement learning. Numerical examples and lucid explanations give the reader an easy entry into the world of AI and ML.