A Biologist S Guide To Artificial Intelligence
Download A Biologist S Guide To Artificial Intelligence full books in PDF, epub, and Kindle. Read online free A Biologist S Guide To Artificial Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
A Biologist s Guide to Artificial Intelligence
Author | : Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir |
Publsiher | : Elsevier |
Total Pages | : 370 |
Release | : 2024-03-15 |
Genre | : Computers |
ISBN | : 9780443240003 |
Download A Biologist s Guide to Artificial Intelligence Book in PDF, Epub and Kindle
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
A Biologist s Guide to Artificial Intelligence
Author | : Ambreen Hamadani,Nazir A Ganai,Hamadani Henna,J Bashir |
Publsiher | : Elsevier |
Total Pages | : 368 |
Release | : 2024-03 |
Genre | : Computers |
ISBN | : 9780443240010 |
Download A Biologist s Guide to Artificial Intelligence Book in PDF, Epub and Kindle
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.
Using Artificial Intelligence in Chemistry and Biology
Author | : Hugh Cartwright |
Publsiher | : CRC Press |
Total Pages | : 358 |
Release | : 2008-05-05 |
Genre | : Science |
ISBN | : 9780849384141 |
Download Using Artificial Intelligence in Chemistry and Biology Book in PDF, Epub and Kindle
Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to
A Guide to Applied Machine Learning for Biologists
Author | : Mohammad "Sufian" Badar |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Electronic Book |
ISBN | : 3031222083 |
Download A Guide to Applied Machine Learning for Biologists Book in PDF, Epub and Kindle
This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
A Guide to Applied Machine Learning for Biologists
Author | : Mohammad "Sufian" Badar |
Publsiher | : Springer Nature |
Total Pages | : 273 |
Release | : 2023-06-21 |
Genre | : Science |
ISBN | : 9783031222061 |
Download A Guide to Applied Machine Learning for Biologists Book in PDF, Epub and Kindle
This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
A Citizen s Guide to Artificial Intelligence
Author | : John Zerilli |
Publsiher | : MIT Press |
Total Pages | : 233 |
Release | : 2021-02-23 |
Genre | : Computers |
ISBN | : 9780262044813 |
Download A Citizen s Guide to Artificial Intelligence Book in PDF, Epub and Kindle
A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Artificial Intelligence Methods and Tools for Systems Biology
Author | : W. Dubitzky,Francisco Azuaje |
Publsiher | : Springer |
Total Pages | : 0 |
Release | : 2005-01-05 |
Genre | : Science |
ISBN | : 1402029594 |
Download Artificial Intelligence Methods and Tools for Systems Biology Book in PDF, Epub and Kindle
This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimension of life phenomena and in one chapter on anatomical and functional modeling of the brain. As design blueprint, the book is intended for scientists and other professionals tasked with developing and using AI technologies in the context of life sciences research. As a user guide, this volume addresses the requirements of researchers to gain a basic understanding of key AI methodologies for life sciences research. Its emphasis is not on an intricate mathematical treatment of the presented AI methodologies. Instead, it aims at providing the users with a clear understanding and practical know-how of the methods. As a research agenda, the book is intended for computer and life science students, teachers, researchers, and managers who want to understand the state of the art of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. Our aim was to maintain the readability and accessibility of a textbook throughout the chapters, rather than compiling a mere reference manual. The book is also intended as a communication platform seeking to bride the cultural and technological gap among key systems biology disciplines. To support this function, contributors have adopted a terminology and approach that appeal to audiences from different backgrounds.
Artificial Intelligence For Science A Deep Learning Revolution
Author | : Alok Choudhary,Geoffrey C Fox,Tony Hey |
Publsiher | : World Scientific |
Total Pages | : 803 |
Release | : 2023-03-21 |
Genre | : Computers |
ISBN | : 9789811265686 |
Download Artificial Intelligence For Science A Deep Learning Revolution Book in PDF, Epub and Kindle
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.