
Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
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.
More details
Other editions
Additional editions


Persons
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.
Content
2. Raspberry Pi Unraveled
3. Python and its Libraries for Machine Learning
4. Machine Learning
5. Introduction to Image Processing
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.