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Machine Learning with Python: The Ultimate Guide to Learn Machine Learning Algorithms. Includes a Useful Section about Analysis, Data Mining and Art

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AIML;

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Artificial Intelligence for Business

is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to;

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Exam Ref AI-900 Microsoft Azure AI Fundamentals

Prepare for Microsoft Exam AI-900 and help demonstrate your real-world knowledge of diverse machine learning (ML) and artificial;

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Designing Human-Centric AI Experiences

and enabling user collaboration with AI. AIML-based systems have changed the way of traditional UX design. Instead of programming a method;

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Designing Human-Centric AI Experiences

Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AIML systems, look at best practices for;

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AI for Marketing and Product Innovation

a non-tech guide to artificial intelligence (AI) and machine learning (ML)-twin technologies that stand poised to revolutionize the way we;

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Machine Learning and Artificial Intelligence

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications;

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Machine Learning and Artificial Intelligence

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications;

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Artificial Intelligence and Machine Learning and Marketing Management

(ML) to educators, students and practitioners of marketing. By explaining AI and ML terminology and its applications including marketing, the;

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Hands-On Machine Learning with Azure

ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML;

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Artificial Intelligence and Machine Learning in Business Management

of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field;

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Artificial Intelligence

From humble evolutions in research papers and labs, artificial intelligence (AI)-which encompasses Machine Learning (ML) and Deep Learning;

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Accelerated DevOps with AI, ML & RPA

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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Supervised Machine Learning

of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness;

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artificial Intelligence / Machine Learning In Marketing

The theory and practice of AI and ML in marketing saving time, money;

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AI and Robotics in Disaster Studies

Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management. AI and ML have advanced to a;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss;

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Machine Learning in Cardiovascular Medicine

provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for;

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Artificial Intelligence and Machine Learning in Public Healthcare

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public;

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Python Machine Learning for Beginners

Python Machine Learning for BeginnersMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a;

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Supervised Machine Learning

of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML;

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Building Machine Learning Powered Applications Going from Idea to Product

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on;

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An Introduction to Approaches and Modern Applications with Ensemble Learning

applications. While many AI and ML books are available on the market, most require a certain level of mathematical and machine learning (ML) knowledge;

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Keras to Kubernetes

entertainment. Within AI, weAre seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning;

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Hands-on AIOps

operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are;

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