A Biologist’s Guide to Artificial Intelligence
eBook - ePub
Available until 21 Sep |Learn more

A Biologist’s Guide to Artificial Intelligence

Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences

Ambreen Hamadani, Nazir A Ganai, Hamadani Henna, J Bashir, Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir

  1. 220 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Available until 21 Sep |Learn more

A Biologist’s Guide to Artificial Intelligence

Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences

Ambreen Hamadani, Nazir A Ganai, Hamadani Henna, J Bashir, Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir

Book details
Table of contents
Citations

About This Book

A Biologist's Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist's perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.

  • Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning
  • Equips with new data mining strategies an easy interface into the world of Artificial Intelligence
  • Enables researchers to enhance their own sphere of researching Artificial Intelligence

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Yes, you can access A Biologist’s Guide to Artificial Intelligence by Ambreen Hamadani, Nazir A Ganai, Hamadani Henna, J Bashir, Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir in PDF and/or ePUB format, as well as other popular books in Computer Science & Bioinformatics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2024
ISBN
9780443240003
Topic
Computer Science
Subtopic
Bioinformatics
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Chapter 1. Exploring artificial intelligence through a biologist's lens
  7. Chapter 2. The synergy of AI and biology: A transformative partnership
  8. Chapter 3. Understanding life and evolution using AI
  9. Chapter 4. Decoding life: Genetics, bioinformatics, and artificial intelligence
  10. Chapter 5. AI in healthcare: Pioneering innovations for a healthier tomorrow
  11. Chapter 6. Reimagining occupational health and safety in the era of AI
  12. Chapter 7. From data to insights: Leveraging machine learning for diabetes management
  13. Chapter 8. Smiles 2.0: The AI dentistry frontier
  14. Chapter 9. Applications and impact of artificial intelligence in veterinary sciences
  15. Chapter 10. Advancing precision agriculture through artificial intelligence: Exploring the future of cultivation
  16. Chapter 11. Artificial intelligence in animal farms for management and breeding
  17. Chapter 12. Food manufacturing, processing, storage, and marketing using artificial intelligence
  18. Chapter 13. Use of AI in conservation and for understanding climate change
  19. Chapter 14. Artificial intelligence in marine biology
  20. Chapter 15. Advances in robotics for biological sciences
  21. Chapter 16. Robotics and computer vision for health, food security, and environment
  22. Chapter 17. Artificial intelligence in classrooms: How artificial intelligence can aid in teaching biology
  23. Chapter 18. Ethical issues around artificial intelligence
  24. Chapter 19. A meshwork of artificial intelligence and biology: The future of science
  25. Index