Description: About this Item The item is a book Hardback The Author Name is Steven L. Fernandes The Title is Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi Condition New Other Comments Edition Number - 0001. Pages Count - 168. Binding type - Hardcover. Content Language - English Category - COMPUTERS / Software Development & Engineering / Computer Gr COMPUTERS / Programming / Games COMPUTERS / Data Science / Data Analytics Product Description - 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 ImagesThe book follows hands-on approach and provide a huge collection of Python programs. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166620370
Price: 234.47 USD
Location: US
End Time: 2025-01-14T09:31:43.000Z
Shipping Cost: 5.21 USD
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Software Development & Engineering / Computer Gr
Narrator/Voice Actors: NA
Length: 228.6
Running Time: NA
Features: NA
Age Level: NA
Modified Item: NA
Modification Description: NA
Title: Introduction to IoT with Machine Learning and Image Processing us
Series: NA
Signed: NA
Inscribed: NA
Personalized: NA
California Prop 65 Warning: NA
Weight: 0.4
Number of Pages: 104 Pages
Publication Name: Introduction to Iot with Machine Learning and Image Processing Using Raspberry Pi
Language: English
Publisher: CRC Press LLC
Publication Year: 2020
Subject: Programming / Games, Machine Theory, General, Databases / Data Mining
Type: Textbook
Author: Shrirang Ambaji Kulkarni, Varadrah P. Gurupur, Steven L. Fernandes
Item Length: 9 in
Subject Area: Mathematics, Computers
Item Width: 6 in
Format: Hardcover