Natural Language Processing

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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
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By Jeff Smith
$4499 $4049
Jeff Smith  builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //, tweets (@jeffksmithjr), and speaks ( about various aspects of building real-world machine learning systems.
AuthorJeff Smith BindingPaperback
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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 Paul Azunre
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$4999 $4499
Paul Azunre  holds a PhD in Computer Science from MIT and has served as a Principal Investigator on several DARPA research programs. He founded Algorine Inc., a Research Lab dedicated to advancing AI/ML and identifying scenarios where they can have a significant social impact. Paul also co-founded Ghana NLP, an open source initiative focused using NLP and Transfer Learning with Ghanaian and other low-resource languages. He frequently contributes to major peer-reviewed international research journals and serves as a program committee member at top conferences in the field.
AuthorPaul Azunre BindingPaperback
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By Stephan Raaijmakers
$5999 $4379
Stephan Raaijmakers  is professor of Communicative AI at Leiden University and a senior scientist at The Netherlands Organization for Applied Scientific Research (TNO).
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By Prashant Kikani
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$820 $697
Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits.
AuthorPrashant Kikani BindingPaperback
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By Utpal Chakraborty
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$528 $449
Who this book is for This book is useful for AI Professionals, Data Scientists... The content of the book is for both Technical and Non Technical readers who want to know the applications of AI in different industries.
AuthorUtpal Chakraborty BindingPaperback
Machine Learning is awesome and powerful, but it can also appear incredibly complicated. That’s where The StatQuest Illustrated Guide to Machine Learning comes in. This book takes the machine learning algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you, the reader, with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up so that you are smarter and have a deeper understanding of Machine Learning.
AuthorJosh Starmer BindingPaperback
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By Bharat Sikka
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$996 $847
Who this book is for This book is for the readers who aspire to gain a strong fundamental understanding of how to infuse deep learning into computer vision and image processing applications. Readers are expected to have intermediate Python skills. No previous knowledge of PyTorch and Computer Vision is required.
AuthorBharat Sikka BindingPaperback
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By Partha Majumdar
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$1055 $897
Who this book is for This book aspires to teach NLP users, ML engineers, and AI engineers who want to develop a strong understanding of Emotion and Sentiment Analysis. No prior knowledge of R programming is needed. All you need is just an open mind to learn and explore this concept.
AuthorPartha Majumdar BindingPaperback
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By Michael Munn, David Pitman
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$1291 $1162
Michael Munn is a research software engineer at Google. His work focuses on better understanding the mathematical foundations of machine learning and how those insights can be used to improve machine learning models at Google. Previously, he worked in the Google Cloud Advanced Solutions Lab helping customers design, implement, and deploy machine learning models at scale. Michael has a PhD in mathematics from the City University of New York. Before joining Google, he worked as a research professor. David Pitman is a staff engineer working in Google Cloud on the AI Platform, where he leads the Explainable AI team. He's also a co-organizer of PuPPy, the largest Python group in the Pacific Northwest. David has a Masters of Engineering degree and a BS in computer science from MIT, where he previously served as a research scientist.
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By Rekha Kodali , Mohammed Athaulla , Sankara Narayanan Govindarajulu
In stock
$820 $697
The author focuses on teaching how to utilize Azure Cognitive services to construct intelligent apps, including Image Processing, Object Detection, Text Recognition, OCR, Spatial Analysis, and Face Recognition using Computer Vision. Readers can investigate Azure Applied AI Services, including Form Recognizer, Metrics Advisor, Cognitive Search, Immersive Reader, Video Analyzer, and Azure Bot Service. Bot Framework and the Bot Framework Emulator will be explored in further detail, and how they can be used in AI applications to improve their conversational user interfaces.
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