Artificial Intelligence

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By Yada Pruksachatkun
In stock
$1408 $1268
Yada Pruksachatkun is a machine learning scientist at Infinitus, a conversational AI startup that automates calls in the healthcare system. She has worked on trustworthy natural language processing as an Applied Scientist at Amazon, and led the first healthcare NLP initiative within mid-sized startup ASAPP.  Matthew McAteer is the creator of 5cube Labs, an ML consultancy that has worked with over 100 companies in industries ranging from architecture to medicine to agriculture. Subhabrata (Subho) Majumdar is a Senior Applied Scientist at Splunk. Previously, he spent 3 years in AT&T, where he led research and development on ethical AI.
AuthorYada Pruksachatkun BindingPaperback
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By Hala Nelson
In stock
$2817 $2535
Hala Nelson is an Associate Professor of Mathematics at James Madison University. She has a Ph.D. in mathematics from the Courant Institute of Mathematical Sciences at New York University. Prior to James Madison University, she was a postdoctoral assistant professor at the University of Michigan, Ann Arbor.
AuthorHala Nelson BindingPaperback
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By Daniel Situnayake
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$2347 $2113
Daniel Situnayake is Head of Machine Learning at Edge Impulse, where he leads embedded machine learning R&D.  Jenny Plunkett is a Senior Developer Relations Engineer at Edge Impulse, where she is a technical speaker, developer evangelist, and technical content creator.
AuthorDaniel Situnayake BindingPaperback
By ANDRE YE
In stock
$4863
Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs – Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks – through both their ‘default’ usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability. Each chapter comes with extensive visualization, code, and relevant research coverage.
AuthorANDRE YE BindingPaperback
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By David Kopec
$3999 $3599
David Kopec  is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners.
AuthorDavid Kopec BindingPaperback
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By Max Pumperla, Kevin Ferguson
$5499 $4399
Max Pumperla  is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the co-founder of the Deep Learning platform aetros.com. Kevin Ferguson  has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo.
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By Tommaso Teofili
$5999 $4799
Tommaso Teofili  is a software engineer with a passion for open source and machine learning. As a member of the Apache Software Foundation, he contributes to a number of open source projects, ranging from topics like information retrieval (such as Lucene and Solr) to natural language processing and machine translation (including OpenNLP, Joshua, and UIMA).
AuthorTommaso Teofili BindingPaperback
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By Oliver Durr
$4999 $4499
Oliver Duerr  is professor for data science at the University of Applied Sciences in Konstanz, Germany. Beate Sick  holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich.  Elvis Murina  is a research assistant, responsible for the extensive exercises that accompany this book.
AuthorOliver Durr BindingPaperback
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This product will be shipped on 30-04-2023
Dr. Michael Byrne , lead editor, is a Clinical Professor of Medicine at the University of British Columbia, and is also CEO and founder of Satisfai Health, a leading provider of AI solutions in Gastroenterology. He is in great demand as a speaker and thought leader on the international medical AI circuit. Dr. Nasim Parsa  is a gastroenterologist and clinical researcher with interest in patient outcomes and meaningful implementation of AI in practice. Dr. Alexandra T. Greenhill  is one of the leading physicians in healthinnovation, founder, advisor and board member of some of the best digital health focused organizations on a mission to accelerate the future of health. Dr. Daljeet Chahal  is a board-certified gastroenterologist and clinical researcher who recently finished advanced hepatology training at the Mount Sinai Hospital in New York City. Dr. Omer Ahmad  is a gastroenterologist and senior clinical translational research scientist at University College London. Dr. Ula?? Bağc??  is an Associate Professor at Northwestern University's Radiology, ECE, and Biomedical Engineering Departments in Chicago, and Courtesy Professor at the Center for Research in Computer Vision (CRCV), Department of Computer Science, at the University of Central Florida (UCF). Cover Art:  Ai-Da is the world’s first ultra-realistic artist robot. Created in February 2019 by Aidan Meller, she had her first solo show at the University of Oxford, called ‘ Unsecured Futures ’.
AuthorMichael Byrne BindingHardcover
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By Prashanth Southekal
$3995 $3196
This product will be shipped on 28-02-2023
In  Data Quality: Empowering Businesses with Analytics and AI , veteran data and analytics professional delivers a practical and hands-on discussion on how to accelerate business results using high-quality data. In the book, you’ll learn techniques to define and assess data quality, discover how to ensure that your firm’s data collection practices avoid common pitfalls and deficiencies, improve the level of data quality in the business, and guarantee that the resulting data is useful for powering high-level analytics and AI applications.
AuthorPrashanth Southekal BindingHardcover
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This product will be shipped on 31-03-2023
Anita Khosla , PhD, is a professor in the Department of Electrical and Electronics Engineering at, Manav Rachna International Institute of Research and Studies, University, Faridabad. She is editor of two books and more than 50 research papers in national, international journals and conferences. Prasenjit Chatterjee , PhD, is a full professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has more than 120 research papers in various international journals and peer reviewed conferences. Ikbal Ali , PhD, is professor in the Department of Electrical Engineering, Faculty of Engineering & Technology of Jamia Millia Islamia, New Delhi, India. Dheeraj Joshi , PhD, is a professor in the Electrical Engineering Department, Delhi Technological University since 2015. He has published more than 200 publications in international/national journals and conferences. 
AuthorAnita Khosla BindingHardcover
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This product will be shipped on 28-02-2023
Anuradha Thakare, PhD,  is a Dean of International Relations and Professor in the Department of Computer Engineering in Pimpri Chinchwad College of Engineering, Pune, India. She has more than 22 years of experience in academics and research and has published more than 80 research articled in SCI journals as well several books. Sheetal Bhandari,   PhD , received her degree in the area of reconfigurable computing. She is a postgraduate in electronics engineering from University of Pune with specialization in digital systems. She is working as a professor in the Department of Electronics and Telecommunication Engineering and Dean Academics at Pimpri Chinchwad College of Engineering. He research are is in reconfigurable computing, embedded system design around FPGA HW-SW Co-Design.
AuthorSheetal Umesh Bhandari BindingHardcover
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