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TinyML Cookbook - Second Edition: Combine machine learning with microcontrollers to solve real-world problems, (Paperback)
81% of respondents would recommend this to a friend
USD 60
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Expert tips will help you squeeze ML models into tight memory budgets and accelerate performance using CMSIS-DSP.
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What Stands Out
Product Details
| Book format | Paperback |
| Edition | 2nd Edition |
| Skill level | Beginner |
| Pages | 664 |
| Language | English |
| Brand | Gian Marco Iodice |
| Author | Packt Publishing |
| Subgenre | Machine Theory |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Series title | No Series |
| Dimensions | 7.50 x 1.33 x 9.25 in (19.1 x 3.4 x 23.5 cm) |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
Who Should Buy?
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Students and Learners
Ideal for students studying machine learning or embedded systems, facilitating hands-on projects and practical applications.
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Engineers and Developers
Great for engineers developing IoT solutions, leveraging microcontrollers and TinyML for innovative product designs.
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Hobbyists and Makers
Perfect for hobbyists looking to integrate machine learning in DIY electronics projects with accessible and easy-to-follow recipes.
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Beginners in Programming
Not suitable for those with no programming knowledge, as the concepts may be too advanced without prior experience.
Product Description
TinyML Cookbook - Second Edition: Combine machine learning with microcontrollers to solve real-world problems, (Paperback)
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Gian Marco Iodice Microprocessors Books Editorial Review
The TinyML Cookbook - Second Edition is a comprehensive guide that expertly blends machine learning principles with microcontroller applications, tailored specifically for beginners to navigate the evolving landscape of technology. With 664 pages of rich content authored by Gian Marco Iodice from Packt Publishing, this paperback edition provides practical insights and hands-on projects designed to address real-world problems. Readers will appreciate its clear explanations and the focus on practical skills development which is essential for understanding machine theory in computing and the internet realm. Whether you're a novice or someone looking to refresh your skills, this cookbook serves as a valuable resource.
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Pros
- Ideal for beginners in machine learning
- Practical examples for real-world applications
- Comprehensive 664-page guide
- Written by experienced authors
- Focuses on microcontroller integration
Cons
- May be too basic for advanced learners
Product Price History
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USD 60
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Features & Benefits
- Over 70 recipes for developing smart applications on microcontrollers
- Create practical examples using TensorFlow Lite for Microcontrollers and Edge Impulse
- Explore cutting-edge technologies such as on-device training and model deployment
- Learn to recognize music genres and detect objects in a scene
- Build unique projects with microcontrollers
- Includes free eBook in PDF format with purchase
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