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Item #:
142484701
Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
85% of respondents would recommend this to a friend
Item #:
142484701
CLP 55961
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What Stands Out
Expert Techniques
Delve into sophisticated machine learning and deep learning methodologies specifically for IoT, enabling the development of smarter, more efficient systems.
Practical Applications
Hands-on projects illustrate real-world applications, allowing users to readily implement AI solutions in IoT environments, enhancing their learning experience and practical skills.
Comprehensive Guide
This revised edition offers updated insights and strategies, making it an essential resource for both beginners and seasoned practitioners aiming to advance their IoT knowledge.
Product Details
| Publisher | Packt Publishing |
| Publication date | May 16, 2025 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 472 pages |
| ISBN-10 | 1835467180 |
| ISBN-13 | 978-1835467183 |
| Item Weight | 1.79 pounds (810 grams) |
| Dimensions | 7.5 x 1.08 x 9.25 inches (19.1 x 2.7 x 23.5 cm) |
Who Should Buy?
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IoT Developers
Ideal for developers looking to integrate AI techniques in the design and deployment of IoT systems effectively.
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Data Scientists
Beneficial for data scientists seeking to enhance their machine learning skills specifically related to IoT applications.
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Tech Educators
A great resource for educators teaching IoT and AI concepts, providing practical insights and hands-on projects.
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Beginners in AI
Not suitable for those new to artificial intelligence, as it may require prior knowledge of algorithms and tools.
Product Description
Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
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Intelligence & Semantics Editorial Review
Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems stands out as a comprehensive resource that effectively addresses both high-level concepts and practical implementations in AI and IoT. The book emphasizes the integration of AI techniques, such as deep learning and reinforcement learning, into IoT systems, making it accessible for readers at all levels of expertise. With hands-on examples and real-world applications like smart homes and predictive maintenance, it serves as an essential guide for developers and engineers alike, responding to the growing demand for intelligent solutions in the connected world. Readers have praised its clear explanations and practical approach, making complex ideas easy to understand and apply.
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Pros
- Clear explanations of complex AI concepts
- Hands-on examples with Python code
- Covers both foundational and advanced topics
- Strong practical insights into real-world applications
- Suitable for both beginners and experienced practitioners
Cons
- Limited discussion on LLMs in IoT applications
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CLP 55961
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