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​Hands-On Artificial Intelligence for IoT

​Hands-On Artificial Intelligence for IoT - Second Edition

By : Dr. Amita Kapoor
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​Hands-On Artificial Intelligence for IoT

​Hands-On Artificial Intelligence for IoT

5 (1)
By: Dr. Amita Kapoor

Overview of this book

Transform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. *Email sign-up and proof of purchase required
Table of Contents (22 chapters)
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Part 1: Foundations and Basic Integrations of IoT and AI
5
Part 2: Advanced AI Techniques and Their Application in IoT
10
Part 3: Implementing Intelligent IoT Solutions in Diverse Domains
16
Part 4: Applying AI and IoT in Real-World Scenarios

Data Access and Distributed Processing for IoT

Data is everywhere – images, speech, text, weather information, the speed of your car, your last EMI, and changing stock prices. With the integration of Internet of Things (IoT) systems, the amount of data produced has increased many-fold. An example is sensor readings, which could be taken for room temperature, soil alkalinity, and so on. This data is stored and made available in various formats. In this chapter, we will learn how to read, save, and process data in some of the most popular formats. Specifically, you will do the following:

  • Data in the TXT Format
  • Data in the XLSX Format
  • CSV Format
  • Working with the JSON
  • Handling Data in the HDF5 Format
  • Object Store for Raw Data
  • Working with Structured SQL Data
  • HDFS for Large-Scale Data Storage and Retrieval
  • Edge Data Storage and Processing
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​Hands-On Artificial Intelligence for IoT
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