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Siga este link para ver outros tipos de publicações sobre o tema: Artificial intelligence (ML/DL).

Livros sobre o tema "Artificial intelligence (ML/DL)"

Autor: Grafiati

Publicado: 29 de março de 2025

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Veja os 23 melhores livros para estudos sobre o assunto "Artificial intelligence (ML/DL)".

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1

Hartanto, Ronny. A Hybrid Deliberative Layer for Robotic Agents: Fusing DL Reasoning with HTN Planning in Autonomous Robots. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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2

Mukherjee, Sudipta. ML. NET Revealed: Simple Tools for Applying Machine Learning to Your Applications. Apress L. P., 2020.

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3

Majumder, Abhilash. Deep Reinforcement Learning in Unity: With Unity ML Toolkit. Apress L. P., 2020.

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4

Artificial Intelligence (AI) and Machine Learning (ML) in Human Health and Healthcare. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-3741-2.

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5

Kshirsagar, Ameya, Jainam Panchal e Manan Shah. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry. Taylor & Francis Group, 2022.

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6

Kshirsagar, Ameya, Jainam Panchal e Manan Shah. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry. Taylor & Francis Group, 2022.

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7

Kshirsagar, Ameya, Jainam Panchal e Manan Shah. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry. CRC Press LLC, 2022.

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8

Kshirsagar, Ameya, Jainam Panchal e Manan Shah. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry. CRC Press LLC, 2022.

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9

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry. Taylor & Francis Group, 2022.

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10

Rahman, Mahmudur, ed. Artificial Intelligence (AI) and Machine Learning (ML) in Medical Imaging Informatics towards Diagnostic Decision Making. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-8129-3.

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11

COMFORT. Flexible Efficient Computer System to Answer Human Questions: The DL*-Programming Language for Artificial Intelligence Applications. Birkhauser Verlag, 2013.

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12

Tripuraneni, Subhashini, e Charles Song. Hands-On Artificial Intelligence on Amazon Web Services: Decrease the Time to Market for AI and ML Applications with the Power of AWS. Packt Publishing, Limited, 2019.

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13

Zhai, Xiaoming, e Joseph Krajcik, eds. Uses of Artificial Intelligence in STEM Education. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198882077.001.0001.

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Resumo:

Abstract In the age of rapid technological advancements, the integration of artificial intelligence (AI), machine learning (ML), and large language models (LLMs) in science, technology, engineering, and mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. This book, comprising twenty-six chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world.

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14

Frockman, Jeff MC. Artificial Intelligence Business: Artificial Intelligence a Modern Approach. Data Science, Data Analytics and ML Applied in Healthcare, Marketing for Real World. Successful Business Tools in Practice. Independently Published, 2019.

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15

Hartanto, Ronny. A Hybrid Deliberative Layer for Robotic Agents: Fusing DL Reasoning with HTN Planning in Autonomous Robots. Springer, 2011.

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16

Chesterton, Scott. Artificial Intelligence and Machine Learning for Business: How Modern Companies Approach AI and ML in Their Business and How AI and ML Are Changing Their Business Strategy. Independently Published, 2019.

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17

David, Brown. Artificial Intelligence for Business: Understand Neural Networks and Machine Learning for Robotics. A Step-By-Step Method to Develop AI and ML Projects for Business. Independently published, 2019.

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18

Neil, Chris. Machine Learning and Artificial Intelligence: Essential Guide to Understanding How ML and AI Can Be Applied in Practice and Be Compatible with Human Behaviour in Modern Times. Unknown Publisher, 2020.

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19

Cowley, Mike. Machine Learning: A Complete Guide for Beginners to Mastering the Fundamentals of ML. Learn about Machine Learning, Artificial Intelligence, Deep Learning and Their Application in Finance and Business. Independently Published, 2019.

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20

Chesterton, Scott. Machine Learning for Beginners: Machine Learning Basics for Absolute Beginners. Learn What ML Is and Why It Matters. Notes on Artificial Intelligence and Deep Learning Are Also Included. Independently Published, 2019.

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21

Knox, Jason. Machine Learning for Beginners: A Beginner's Guide to Start Out Your Journey with Data Science, Artificial Intelligence, ML and Its Algorithms, Deep Learning and Neural Networks from Scratch. Independently Published, 2019.

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22

Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12. 5 International Workshops: MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Springer International Publishing AG, 2023.

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23

Maglogiannis, Ilias, John Macintyre, Lazaros Iliadis e Paulo Cortez. Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12. 5 International Workshops: MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Springer International Publishing AG, 2022.

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