Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi is popular PDF and ePub book, written by Shrirang Ambaji Kulkarni in 2020-08-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi can be Read Online from any device for your convenience.

Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi Book PDF Summary

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.

Detail Book of Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi PDF

Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
  • Author : Shrirang Ambaji Kulkarni
  • Release : 16 August 2020
  • Publisher : CRC Press
  • ISBN : 9781351006651
  • Genre : Computers
  • Total Page : 167 pages
  • Language : English
  • PDF File Size : 11,7 Mb

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