Understanding Artificial Intelligence

preview-18
  • Understanding Artificial Intelligence Book Detail

  • Author : Albert Chun-Chen Liu
  • Release Date : 2022-09-21
  • Publisher : John Wiley & Sons
  • Genre : Computers
  • Pages : 228
  • ISBN 13 : 111985833X
  • File Size : 40,40 MB

Understanding Artificial Intelligence by Albert Chun-Chen Liu PDF Summary

Book Description: Understanding Artificial Intelligence Provides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications Artificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different???many jobs will disappear, yet new jobs and opportunities will emerge. Understanding Artificial Intelligence: Fundamentals and Applications covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text: Focuses on artificial intelligence applications in different industries and sectors Traces the history of neural networks and explains popular neural network architectures Covers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV) Describes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU) Highlights the development of new artificial intelligence hardware and architectures Understanding Artificial Intelligence: Fundamentals and Applications is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.

Disclaimer: www.yourbookbest.com does not own Understanding Artificial Intelligence books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Understanding Artificial Intelligence

Understanding Artificial Intelligence

File Size : 66,66 MB
Total View : 6200 Views
DOWNLOAD

Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequenc

Understanding Artificial Intelligence

Understanding Artificial Intelligence

File Size : 21,21 MB
Total View : 3064 Views
DOWNLOAD

Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates th

Understanding Artificial Intelligence

Understanding Artificial Intelligence

File Size : 26,26 MB
Total View : 5607 Views
DOWNLOAD

Drawn from the pages of Scientific American and collected here for the first time, this work contains updated and condensed information, made accessible to a ge

Understanding Machine Learning

Understanding Machine Learning

File Size : 52,52 MB
Total View : 6469 Views
DOWNLOAD

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei