Atnaujinkite slapukų nuostatas

El. knyga: Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

  • Formatas: 166 pages
  • Išleidimo metai: 16-Aug-2020
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781351006651
  • Formatas: 166 pages
  • Išleidimo metai: 16-Aug-2020
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781351006651

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer or have just started exploring IoT or Machine Learning with Python, then this book is for you.

Features: 

  • Raspberry Pi as IoT is described along with the procedure for installation and configuration.
  • A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples.
  • Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification.
  • Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images
  • The book follows hands-on approach and provide a huge collection of Python programs.

Authors vii
Chapter 1 Introduction
1(6)
Chapter 2 Raspberry Pi Unraveled
7(12)
Chapter 3 Python and Its Libraries for Machine Learning
19(62)
Chapter 4 Machine Learning
81(44)
Chapter 5 Introduction to Image Processing
125(26)
Bibliography 151(2)
Index 153
Dr. Shrirang Ambaji Kulkarni is a prolific learner, author and a faculty with over 18 plus years of experience in the field of Computer Science and Engineering. He is currently working as Associate. Professor at National Institute of Engineering in Department of Computer Science and Engineering, Mysore, India.

Dr. Steven Lawrence Fernandes is a high profile researcher in the field of Image Processing. He is currently working as Post-Doctoral Fellow at University of Central Florida in the Department of Computer Science and Engineering, Florida, USA.

Dr. Varadraj Gurpur is an eminent faculty and researcher in the field of Health Informatics.. He has authored many research articles in reputed journals. He is currently working as Associate. Professor at University of Central Florida in the Department of Health Informatics, Florida, USA.