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Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
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Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
If you want to learn more about artificial intelligence, then scroll up and click 'add to cart'!
Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Item #: 55993251

Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural

85% of respondents would recommend this to a friend

Item #: 55993251

GTQ 174

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What Stands Out

Comprehensive Overview
Covers essential topics like machine learning and robotics, providing readers a clear understanding of AI's various facets, ensuring they grasp both foundational and advanced concepts.
Future Insights
Offers valuable predictions about AI's role in our future, helping readers anticipate technological changes and preparing them for upcoming trends in various industries.
User-Friendly
Written in an accessible style, making complex subjects understandable for beginners while still engaging experienced readers, thus expanding its appeal to a broader audience.

Product Details

Explore the world of Artificial Intelligence with our comprehensive collection of books covering Machine Learning, Robotics, Deep Learning, and more. Shop now at Ubuy Guatemala.
Publisher Independently published
Publication date January 29, 2019
Language English
Print length 104 pages
ISBN-10 1795408561
ISBN-13 978-1795408561
Item Weight 5.9 ounces (167.27 grams)
Dimensions 6 x 0.26 x 9 inches (15.2 x 0.7 x 22.9 cm)

Who Should Buy?

Suitable For
  • Beginner Learners

    Ideal for those new to AI concepts, offering clear explanations of complex topics like machine learning and robotics.

  • Industry Professionals

    Beneficial for professionals wanting to understand AI applications in their fields, ensuring they stay relevant in technological advancements.

  • Researchers and Students

    A valuable resource for students and researchers seeking foundational knowledge to pursue advanced studies in AI and related fields.

Not Suitable For
  • Advanced Practitioners

    May not satisfy experienced AI practitioners seeking in-depth technical analysis or cutting-edge research findings.

Product Description

Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future

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Customer Questions & Answers

  • Question: What is the primary focus of the book 'Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural'?

    Answer: The book primarily focuses on providing readers with an extensive overview of various branches of artificial intelligence, including machine learning, robotics, and deep learning. It delves into how these technologies interconnect with practical applications like recommender systems and the Internet of Things, making complex concepts accessible to both novices and experts. By addressing real-world use cases, the book empowers readers to understand how AI is transforming industries and influencing daily life.
  • Question: Who is the target audience for this book on artificial intelligence?

    Answer: This book is geared towards a diverse audience, including students, professionals, and enthusiasts eager to understand artificial intelligence's fundamental principles and applications. It serves as a resource for tech-savvy individuals looking to enhance their knowledge base, as well as for business professionals interested in leveraging AI to improve operational efficiency. From aspiring AI practitioners to industry leaders, the insights provided cater to a broad range of interests and expertise levels.
  • Question: How does the book address the topic of machine learning?

    Answer: The book provides a comprehensive examination of machine learning, breaking down its types, algorithms, and practical applications. Readers will learn about supervised, unsupervised, and reinforcement learning in a simple and digestible manner. By including examples and case studies from real-world scenarios, the text enables readers to appreciate how machine learning can optimize processes across various sectors, such as finance, healthcare, and marketing.
  • Question: What insights does the book provide on robotics?

    Answer: In addition to machine learning, the book delves into robotics, discussing the evolution and current state of robotic technologies. It explores how AI integrates with robotics to create intelligent machines capable of performing complex tasks. Real-life applications such as automated factories and robotic process automation are highlighted, showcasing how robots enhance productivity and efficiency in numerous industries. This context allows readers to grasp the practical implications of robotics in today's world.
  • Question: Can you explain deep learning as described in the book?

    Answer: Deep learning, a specialized subset of machine learning, is thoroughly covered in the book, highlighting its significance in processing vast amounts of data through neural networks. The discussion includes how deep learning underpins advancements in areas such as image and speech recognition, natural language processing, and more. By presenting these concepts alongside examples of their application in technology, the book clarifies how deep learning contributes to modern innovations like virtual assistants and autonomous vehicles.
  • Question: What are recommender systems and how are they explained in the book?

    Answer: Recommender systems are algorithms designed to suggest products, services, or content to users based on their preferences and behavior. The book explains different types of recommender systems, including collaborative filtering and content-based filtering, providing insights into how they are utilized in platforms like e-commerce sites and streaming services. By illustrating these concepts, readers gain an understanding of the underlying mechanics that drive personalized experiences in digital environments.
  • Question: How does the Internet of Things (IoT) relate to artificial intelligence in the book?

    Answer: The relationship between the Internet of Things (IoT) and artificial intelligence is a focal point in the book, illustrating how connected devices can enhance decision-making processes through AI. It explores scenarios such as smart homes and industrial IoT, demonstrating how AI algorithms analyze data collected from various sensors to optimize operations and improve user experiences. This interconnectedness shows readers the potential impact of AI in making everyday objects more intelligent and responsive.
  • Question: What role do neural networks play in artificial intelligence according to the book?

    Answer: Neural networks are presented as a crucial component of AI technology in the book, serving as the backbone for achieving high levels of accuracy in tasks like image classification and natural language processing. The book explains how these networks mimic the human brain's functioning by processing information through interconnected nodes. By providing practical examples, it emphasizes the importance of neural networks in driving modern AI applications, enabling readers to appreciate their functionality and relevance.
  • Question: What practical applications of AI does the book highlight?

    Answer: The book emphasizes numerous practical applications of AI across different sectors, including healthcare, automotive, finance, and entertainment. It demonstrates how AI enhances efficiency through predictive analytics, automates routine tasks, and improves decision-making. Specific examples, such as AI-driven diagnostic tools in healthcare or personalized learning in education, showcase the transformational impact of AI technologies. This overview inspires readers to envision possibilities for AI in their own fields.
  • Question: Where can I buy 'Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural'?

    Answer: You can conveniently purchase this book on Ubuy in Guatemala. Ubuy is a reliable platform known for offering a wide range of products, including books on technology and artificial intelligence. By shopping on Ubuy, customers can enjoy an extensive selection, ensuring they find the latest titles and resources that help enhance their understanding of AI and machine learning.

Neural Networks Editorial Review

**** The reviewed book on artificial intelligence has garnered positive feedback, particularly among newcomers to the field. Customers appreciate its structured transition between topics, making it an accessible resource for those just starting their journey in AI. Many readers emphasize that the book is essential for beginners, providing a broad overview of relevant concepts without overwhelming them with technical jargon. While the book may not suit seasoned programmers or those seeking in-depth, concise information, it excels in giving beginners a foundational understanding. Reviewers noted that it successfully condenses complex ideas into digestible sections, enabling readers who may be short on time to quickly grasp essential content. Some users have observed that the quick pace might lend an impression of haste in writing, but this has not deterred them from valuing the rich ideas presented throughout the chapters. In conclusion, the book is highly recommended for individuals who are new to artificial intelligence. It strikes a balance between simplicity and informative content, making it an ideal starting point for readers keen to familiarize themselves with AI concepts without getting bogged down in dense academic writing. **

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Pros

  • Excellent for beginners in AI.
  • Provides a broad overview of relevant concepts.
  • Structured transitions between topics for easier understanding.
  • Saves time for readers by being concise and to the point.

Cons

  • Not suitable for experienced programmers or those seeking detailed technical insights.

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GTQ 174

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Features & Benefits

  • Comprehensive guide from machine learning to robotics and the internet of things
  • Explains artificial neural networks, gradient descent, backpropagation, and deep learning
  • Covers history of AI and its current state-of-the-art methods
  • Busts top 6 myths of artificial intelligence
  • Provides insights into neural networks, reinforcement learning, recommender systems, and modern robotics
  • Highlights AI's impact on business and technology advancements

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