Advanced Artificial Intelligence Professional Level
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Advanced Artificial Intelligence Professional Level
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Author : CPA John Kimani
language : en
Publisher: Finstock Evarsity Publishers
Release Date : 2023-08-04
Advanced Artificial Intelligence Professional Level written by CPA John Kimani and has been published by Finstock Evarsity Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Computers categories.
BOOK SUMMARY The main topics in this book are; • Natural Language Processing • Computer Vision • Machine Learning Algorithms • Deep Learning • Reinforcement Learning • Robotics and Autonomous Systems • Generative Adversarial Networks • Explainable AI Advanced Artificial Intelligence is a comprehensive a forward-looking book that delves into the most cutting-edge advancements in the field of AI. With real-life examples the book showcases how AI is revolutionizing industries, driving innovation,and shaping the future of technology.
Introduction To Artificial Intelligence Professional Level
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Author : CPA John Kimani
language : en
Publisher: Finstock Evarsity Publishers
Release Date : 2023-08-03
Introduction To Artificial Intelligence Professional Level written by CPA John Kimani and has been published by Finstock Evarsity Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-03 with Computers categories.
BOOK SUMMARY The main topics in this book are; • Introduction to Artificial Intelligence • Foundations of AI • Machine Learning • Natural Language Processing • Computer Vision • Expert Systems and Knowledge Representation • Robotics and Autonomous Systems • Ethical and Social Implications of AI Introduction to Artificial Intelligence is a comprehensive and insightful book that takes readers on a captivating journey through the realm of AI. Starting with a historical overview of AI research and its key milestones, the book lays a solid foundation for understanding the field’s evolution. Readers gain valuable insights into natural language processing techniques and the complexities of computer vision for image and video analysis.
Advanced Artificial Intelligence
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2011
Advanced Artificial Intelligence written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
'Advanced Artificial Intelligence' consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarises the author's scientific efforts over many years.
Advanced Artificial Intelligence Second Edition
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Author : Shi Zhongzhi
language : en
Publisher: World Scientific
Release Date : 2019-08-05
Advanced Artificial Intelligence Second Edition written by Shi Zhongzhi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-05 with Computers categories.
The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.
Advanced Big Data Analytics Professional Level
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Author : CPA John Kimani
language : en
Publisher: Finstock Evarsity Publishers
Release Date : 2023-08-28
Advanced Big Data Analytics Professional Level written by CPA John Kimani and has been published by Finstock Evarsity Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Computers categories.
BOOK SUMMARY The main topics in this book are; • Machine Learning Algorithms for Predictive Analysis • Natural Language Processing in Text Analytics • Graph Analytics and Network Analysis • Time Series Analysis and Forecasting • Deep Learning in Image and Video Analytics • Streaming Data Analytics • Spatial Data Analysis and Geospatial Analytics • Big Data Ethics and Privacy Considerations “Advanced Big Data Analytics” offers a comprehensive exploration of cutting-edge techniques and methodologies in the realm of big data analysis. Through a blend of theoretical insights, practical examples and real-world case studies, the book guides readers in harnessing the power of vast datasets to uncover valuable insights, make informed decisions and address contemporary data-driven challenges.
The The Applied Artificial Intelligence Workshop
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Author : Anthony So
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-22
The The Applied Artificial Intelligence Workshop written by Anthony So and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-22 with Computers categories.
With knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities Key FeaturesLearn about AI and ML algorithms from the perspective of a seasoned data scientistGet practical experience in ML algorithms, such as regression, tree algorithms, clustering, and moreDesign neural networks that emulate the human brainBook Description You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You’ll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models. What you will learnCreate your first AI game in Python with the minmax algorithmImplement regression techniques to simplify real-world dataExperiment with classification techniques to label real-world dataPerform predictive analysis in Python using decision trees and random forestsUse clustering algorithms to group data without manual supportLearn how to use neural networks to process and classify labeled imagesWho this book is for The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. Although this is a beginner's book, experienced students and programmers can improve their Python skills by implementing the practical applications given in this book.
Artificial Intelligence Education In The Context Of Work
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Author : Dirk Ifenthaler
language : en
Publisher: Springer Nature
Release Date : 2022-10-28
Artificial Intelligence Education In The Context Of Work written by Dirk Ifenthaler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-28 with Education categories.
This edited volume remedies existing deficiencies in the literature on artificial intelligence and education in the context of work. The topics addressed by this book are: • Supporting formal and informal learning through AI• Human-machine collaboration for learning at the workplace, including the potential of human-AI interaction in professional and vocational education contexts, design, use, and evaluation of human-AI hybrid systems for learning• Intelligent and Interactive Technologies for Learning, including natural language processing and speech technologies; data mining and machine learning; knowledge representation and reasoning; semantic web technologies, chat bot-mediated learning, and conversational learning, • AI-enabled applications for skills management and personalized learning, such as AI-enabled coaching, personalized skill management, and intelligent tutoring systems. • Case studies for the implementation and use of AI-enabled learning and performance solutions, such as personal learning experience platforms, and automated performance feedback.
Industrial Machine Learning
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Author : Andreas François Vermeulen
language : en
Publisher: Apress
Release Date : 2019-11-30
Industrial Machine Learning written by Andreas François Vermeulen and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-30 with Computers categories.
Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes. Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors. What You Will Learn Generate and identify transformational disruptors of artificial intelligence (AI) Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environment Hone the skills required to handle the future of data engineering and data science Who This Book Is For Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management
Advanced Fine Tuning Techniques For Ai Models
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Author : Richard Anthony Aragon
language : en
Publisher: Independently Published
Release Date : 2024-02-27
Advanced Fine Tuning Techniques For Ai Models written by Richard Anthony Aragon and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.
In the rapidly evolving world of artificial intelligence (AI), the ability to adapt and refine pre-trained models through fine-tuning has become a cornerstone of AI research and application. "Advanced Fine-Tuning Techniques for AI Models" serves as a comprehensive guide, navigating the intricate landscape of fine-tuning techniques that are shaping the future of AI. This book offers a deep dive into the theory and practice of fine-tuning, starting from its fundamental principles to the cutting-edge methods and tools that define the field today. With contributions from leading experts, it demystifies complex concepts and provides readers with a clear path to mastering fine-tuning techniques. Key Features: Foundational Understanding: Explore the basics of fine-tuning, including its importance, the underlying theory, and the different approaches used across various AI domains. Advanced Techniques and Tools: Delve into state-of-the-art fine-tuning methods such as dynamic fine-tuning, adversarial training, federated learning, and more, including practical examples and code snippets. Future Directions: Look ahead with a chapter dedicated to the future of fine-tuning, discussing emerging trends, potential research directions, and the broader implications for AI. Who Should Read This Book? AI Researchers and Practitioners: Gain insights into the latest fine-tuning techniques and how they can be applied to current projects. Students and Academics: A valuable resource for courses on artificial intelligence, machine learning, and related fields. Technology Enthusiasts: Anyone with an interest in the inner workings of AI and the development of more adaptable, efficient models. "Advanced Fine-Tuning Techniques for AI Models" is not just a technical manual; it is a gateway to the future of AI. Whether you're an experienced AI professional or simply curious about the field, this book offers valuable knowledge and insights into one of the most dynamic areas of contemporary technology. Embark on a journey through the art and science of fine-tuning in AI, and equip yourself with the knowledge to push the boundaries of what AI can achieve. Discover the potential of fine-tuning to revolutionize the field of artificial intelligence, making it more accessible, efficient, and capable of tackling the challenges of tomorrow.
Artificial Intelligence
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Author : Freddie Slater
language : en
Publisher: Freddie Slater
Release Date : 2021-04-09
Artificial Intelligence written by Freddie Slater and has been published by Freddie Slater this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with categories.
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