logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Science With Raspberry Pi Realtime Applications Using A Localized Cloud 1st Ed K Mohaideen Abdul Kadhar

  • SKU: BELL-62618530
Data Science With Raspberry Pi Realtime Applications Using A Localized Cloud 1st Ed K Mohaideen Abdul Kadhar
$ 31.00 $ 45.00 (-31%)

4.4

72 reviews

Data Science With Raspberry Pi Realtime Applications Using A Localized Cloud 1st Ed K Mohaideen Abdul Kadhar instant download after payment.

Publisher: Apress
File Extension: EPUB
File size: 6.26 MB
Pages: 264
Author: K. Mohaideen Abdul Kadhar, G. Anand
ISBN: 9781484268254, 1484268253
Language: English
Year: 2021
Edition: 1st ed.

Product desciption

Data Science With Raspberry Pi Realtime Applications Using A Localized Cloud 1st Ed K Mohaideen Abdul Kadhar by K. Mohaideen Abdul Kadhar, G. Anand 9781484268254, 1484268253 instant download after payment.

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud.  

You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. 

By the end of Data Science with the Raspberry Pi, you'll...

Related Products