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Introduction to TinyML Kindle Edition

3.9 3.9 out of 5 stars 14 ratings

This book is an effort by AI Technology & Systems to demystify the TinyML technology including market, applications, algorithms, tools and technology. the book dive deeper into the technology beyond common application and keep it light for the readers with varying background including students, hobbyists, managers, market researchers and developers. It starts with introduction to TinyML with benefits and scalability. It introduces no-code and low-code tinyML platform to develop production worthy solutions including audio wake word, visual wake word, american sign language and predictive maintenance. Last two chapters are devoted to sensor and hardware agnostic autoML and tinyML compiler technologies.
Due to its large file size, this book may take longer to download

Product details

  • ASIN ‏ : ‎ B0B662D7ZW
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 12706 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 189 pages
  • Customer Reviews:
    3.9 3.9 out of 5 stars 14 ratings

About the author

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Rohit Sharma
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Rohit Sharma is an Indian-origin Australian writer who has a different approach towards life. He completed his master's degree in electronic engineering from Victoria University Australia in 2011. Growing up in India and working in Australia, Rohit Sharma experienced both East and West of the world.

He has a keen interest in science and firm faith in God. Since childhood, he was very much interested in space travel. It was always his dream to see the future and travel through time.

He learned palmistry at the age of 14 from his aunty. When he realized that palmistry was not enough to satisfy him, he started learning astrology at the age of 19. He started reading Lal Kitab in 2000. In 2005, he created a Yahoo Group where he used to see people's horoscopes for free and solve their problems.

He has his own YouTube channel called ssastrology (www.youtube.com/ssastrology) where he teaches astrology. He also has a Facebook page (www.facebook.com/LaalkitabAstrology) where he posts his research work and also guides people.

He always says that anyone can make his future, some call it hard work and others call it simply luck. His work has been praised by many and he has many followers all over the world.

Customer reviews

3.9 out of 5 stars
14 global ratings

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Top reviews from other countries

  • Amazon Customer
    5.0 out of 5 stars ML book for novice tinyml users and embedded programmers
    Reviewed in the United States on November 9, 2022
    Verified Purchase
    It is a good book for students curious to learn tinyml and embedded machine learning technology to build smart electronics with a freely available no-code platform.

    Fun for novice users using no-code approach, reference for embedded solution providers, and an overview for embedded programmers with 4 different apps and tech stack discussion.
    Customer image
    Amazon Customer
    5.0 out of 5 stars ML book for novice tinyml users and embedded programmers
    Reviewed in the United States on November 9, 2022
    It is a good book for students curious to learn tinyml and embedded machine learning technology to build smart electronics with a freely available no-code platform.

    Fun for novice users using no-code approach, reference for embedded solution providers, and an overview for embedded programmers with 4 different apps and tech stack discussion.
    Images in this review
    Customer image
    Customer image
  • J
    2.0 out of 5 stars Shallow introduction to TinyML using a proprietary platform
    Reviewed in the Netherlands on March 19, 2023
    Verified Purchase
    This book was disappointing. The introduction chapter starts of well, explaining the possibilities and merits of TinyML. After that however, the example projects are just step for step introductions using the proprietary platform CAInvas. No real insight is given into the process of training and deploying TinyML models. Only references to the proprietary platform and their ‘low/no-code’ approach. The later chapters on the deepSea/C compiler was lacking detail, and again, this was using a proprietary platform.
    The book is an Amazon print, meaning it is printed-to-order from a digital format like pdf. The images suffer because of this. When I first received the book, I thought there was a printing defect, it was that bad. The book contains hyperlinks in the text, which are of course not available to open in print.. furthermore, a lot of the sources and code are just typed out with long links and pages full of poorly formatted code.
    While I believe that the author meant for this book to be good, and he has the credentials and publishing history (in academia) for it, I would suggest to get another book if you truly want to learn the beginnings of TinyML. All information in this book could have easily been found on the website of the mentioned proprietary platform.
  • Piyush C.
    5.0 out of 5 stars Must read on Embedded ML
    Reviewed in India on November 25, 2022
    Verified Purchase
    The book from Prof. Rohit is great to read for beginners trying to make a career in the field of embedded machine learning. Learn how to make applications and create binary files to burn on the CPU of the smart boards and make a simple device, smart. I would like to recommend this book to every electronics and communication (ECE) and computer science (CS) Engineering student.
  • J. Cross
    1.0 out of 5 stars Poorly edited sales pitch with zero educational value
    Reviewed in the United States on April 9, 2023
    Verified Purchase
    This hastily-assembled book mostly tells you how to point and click your way through a proprietary system. What little code there is has such atrocious formatting that I doubt anyone looked at a proof company of this book before selling it.

    Anyone interested in TinyML would be better off with another book or a MOOC.
  • ONGC A/C Shyam Vashistha CPF No. 94315
    5.0 out of 5 stars TinyML and it's Applications
    Reviewed in India on August 14, 2022
    Verified Purchase
    This book covers the TinyML thoroughly and includes it's applications in today's technological world. I will suggest it to all who are interested in AI-ML and wish to find practical applications of new buzzword.

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