Quantum Machine Learning: A Modern Approach | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=D. Sumathi
B01=M Akila
B01=S Karthikeyan
B01=T Poongodi
Category1=Non-Fiction
Category=UY
Category=UYQM
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
PS=Forthcoming
softlaunch

Quantum Machine Learning: A Modern Approach

English

This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies.

In summary, the book:

  • Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines.
  • Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks.
  • Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting.
  • Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost.
  • Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects.

This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.

See more
Current price €97.84
Original price €102.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=D. SumathiB01=M AkilaB01=S KarthikeyanB01=T PoongodiCategory1=Non-FictionCategory=UYCategory=UYQMCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 28 Oct 2024

Product Details
  • Weight: 720g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032544717

About

Dr. Karthikeyan Saminathan is currently working as an Associate Professor(Research) in the Department of Cyber Security at Sri Venkateshwara College of Engineering Bengaluru Karnataka India and He is associated with Bluechip CyberTech Services as a Asst. Vice President which is the wing of Bluechip Services International Pvt Ltd Bangalore. he is Founder CEO for AI Quantalytics Startup which primarily focuses on IT consulting and product development to AI-driven solutions and cloud innovations. His Educational Background includes he received his B.E-CSE degree from Anna University Chennai in 2010 and his M.E-Software Engineering from Anna University Chennai in 2012. He received his PhD in Cloud and Bigdata Analytics from VIT University AP. His research interests include artificial intelligence and machine learning high-performance computing cloud and big data analytics and data sciences. He has published more than 60+ papers in reputed journals seven book chapters and more than 12 patents. He has Delivered 100+ technical talks to various Academic Institutions and Industries. Also he holds the prestigious role of NASSCOM Prime brand Ambassador. He is a life member of international professional bodies such as ISTE IAENG ISRD and IFERP and he is also a senior member of IEEE.Dr. M. Akila is a CEO of Metasage Alliance Consulting Expert Pvt Limited Coimbatore India. She is also an insatiable appetite for continuous learning and teaching a philanthropic leader a diligent researcher and an experienced and insightful academician. With 27 years of experience her mission is to enhance standards of education by providing an excellent ingenious learning environment that is rational with the core values of Academic Institutions.Dr. Akilas main research interest is machine learning with applications to computer vision and data science but she is also interested in the efficient implementation of optimization algorithms in engineering problems. An inspiring motivating and committed CSE professor she is actively engaged with professional organizations such as IET and IEEE and is an additional secretary in the Institution of Green Engineers. She has published three patents and delivered 32 invited lectures at various institutes. Dr. Akila received the Kalam 2020 award for service to Green Technology 2018 and has been awarded the Cambridge International Certificate for Teachers and Trainers and a Certificate of Achievement from IGEN. She is in addition a renowned reviewer in neuro-computing IET biometrics IET image processing and IET electronics letters.Dr. D. Sumathi is currently serving as a Professor Grade 1-SCOPE at VIT-AP University Andhra Pradesh. She earned her B.E in Computer Science and Engineering from Bharathiar University in 1994 and her M.E in Computer Science and Engineering from Sathyabama University in 2006 Chennai. She completed her doctoral degree at Anna University Chennai. With a total of 23 years of experience including 6 years in the industry and 17 years in the teaching field she holds the additional responsibility of serving as an Assistant Director of the Software Development Cell which automates various campus upkeep functionalities. Her research interests encompass Cloud Computing Network Security Data Mining Natural Language Processing Machine Learning Deep Learning and Theoretical Foundations of Computer Science. She has published numerous papers in reputed international journals and conferences. Furthermore she has organized several international conferences acting as a Technical Chair and tutorial presenter. Dr. D. Sumathi is a life member of ISTE and has published book chapters and edited books with reputed publishers. In addition to this she holds patents related to the health sector. Currently she is guiding five research scholars under research areas in biomedical applications.Dr. T. Poongodi is presently working as a Professor in the Department of Computer Science and Engineering School of Engineering Dayananda Sagar University Bangalore India. She received her Ph.D. degree in Information Technology (Information and Communication Engineering) from Anna University Tamil Nadu India. Her current research interests include Network Security Internet of Things (IoT) Data Science and Blockchain Technology for emerging communication networks. She is the author of over 50+ (Scopus Indexed) book chapters including some renowned publishers such as Springer Elsevier IET Wiley De-Gruyter CRC Press IGI global and 40+ (SCI/Scopus) international journals and conferences. She has published 15+ authored/edited books in Springer IET Wiley CRC Taylor & Francis and Apple Academic Press. With over 18 years of extensive experience in teaching and multi-disciplinary research she has been recognized with several prestigious awards including the Research and Innovation award (2019 2020 2021) and Excellence in the area of Research & Innovation/ Academic Excellence / Extension Activities (2018-19 2019-20) from Galgotias University Delhi-NCR. She has been invited as a keynote speaker session chair program committee and advisory committee member in international conferences. She is a senior member of The Institute of Electrical and Electronics Engineers (IEEE) IEEE Women in Engineering (WIE) and active member in Association for Computing Machinery (ACM). She serves as a Guest Editor for the peer-reviewed international journal BMC Medical Informatics and Decision Making Springer Nature.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept