Understanding The Fundamentals Of Machine Learning And Ai For Digital Business
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Understanding The Fundamentals Of Machine Learning And Ai For Digital Business
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Author : Andy Ismail
language : en
Publisher: Asadel Publisher
Release Date : 2023-06-04
Understanding The Fundamentals Of Machine Learning And Ai For Digital Business written by Andy Ismail and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-04 with Computers categories.
"Understanding the Fundamentals of Machine Learning and AI for Digital Business" is a comprehensive guide that provides a solid foundation in the concepts and applications of machine learning and artificial intelligence. This book covers a wide range of topics, from the history and understanding of machine learning to its purpose and application in the digital business landscape. Starting with the basics, readers will gain a clear understanding of supervised learning, unsupervised learning, and reinforcement learning. They will explore evaluation methods such as accuracy, precision, recall, F1 score, and ROC-AUC, and learn how to assess the performance of machine learning models. The book delves into regression analysis, covering important techniques like polynomial regression, ridge regression, lasso regression, and vector regression. It also explores classification methods, including Naive Bayes, K-Nearest Neighbors (KNN), decision trees, random forest, and support vector machines. Readers will gain insights into clustering techniques like K-means, hierarchical clustering, and density-based clustering. They will also explore the fascinating world of deep learning, including convolutional neural networks (CNN), recurrent neural networks (RNN), long short-term memory (LSTM), and natural language processing (NLP) techniques like tokenization, stemming, and lemmatization. The book provides practical exercises throughout, allowing readers to apply their knowledge and reinforce their understanding. It covers topics such as dealing with violations of assumptions, model selection and validation, and advanced regression techniques. Ethical considerations in machine learning and AI are also addressed, highlighting the importance of responsible and ethical practices in the digital business environment. With its comprehensive coverage and practical exercises, "Understanding the Fundamentals of Machine Learning and AI for Digital Business" is an essential resource for students, professionals, and anyone interested in harnessing the power of machine learning and AI in the digital era. It offers a solid foundation in theory and practical applications, equipping readers with the skills to navigate the evolving landscape of machine learning and AI and drive digital business success.
Understanding Artificial Intelligence
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Author : Ralf T. Kreutzer
language : en
Publisher: Springer Nature
Release Date : 2024-12-11
Understanding Artificial Intelligence written by Ralf T. Kreutzer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Business & Economics categories.
This book on Artificial Intelligence (AI) explores its transformative potential for individuals and businesses. It covers AI basics and its applications across various industries, presenting AI as a foundational technology that will impact all aspects of life and the economy. The author emphasizes the need for responsible AI usage and introduces the concept of the "AI Journey" for businesses to leverage AI's potential. The second edition is updated with recent developments, including large language models like Aleph Alpha and ChatGPT, generative AI, affective computing, and ethical considerations. It also discusses open-source solutions, legal frameworks, and practical use cases. Recommended for leaders, decision-makers, students, professors, and anyone interested in understanding AI's future impact.
Artificial Intelligence Fundamentals For Business Leaders
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2023-06
Artificial Intelligence Fundamentals For Business Leaders written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06 with Business & Economics categories.
2025 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically. Book and Course Learning Rubric - Chapters 1-7: Understanding of AI [11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence. - Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management. - Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project. - Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks. - Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making. - Chapters 41-50: Understanding of Generative AI [15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges. Assignment: Practical Application [15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.
Understanding Machine Learning
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Author : Shai Shalev-Shwartz
language : en
Publisher: Cambridge University Press
Release Date : 2014-05-19
Understanding Machine Learning written by Shai Shalev-Shwartz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-19 with Computers categories.
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Artificial Intelligence In English Language Education
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Author : Abdul Aziz
language : en
Publisher: Asadel Publisher
Release Date : 2025-03-10
Artificial Intelligence In English Language Education written by Abdul Aziz and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Education categories.
Artificial Intelligence in English Language Education explores how emerging AI technologies are transforming the teaching and learning of English in hybrid and digital classrooms. This reference book serves as a comprehensive guide for educators, researchers, curriculum designers, and teacher trainers who want to meaningfully integrate AI tools into pedagogical frameworks. Covering topics such as AI-powered writing feedback, intelligent pronunciation apps, hybrid curriculum design, ethical data use, and teacher professional development, the book presents both theoretical foundations and practical strategies. Each chapter is supported by academic references, real-world examples, and critical reflection questions to help educators make informed, ethical, and effective decisions. Written by experts in language education, curriculum development, and AI integration, this book is not just about tools—it’s about transforming teaching in a way that centers learner engagement, autonomy, and equity in an AI-driven era.
Leading The Digital Transformation
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Author : Andy Ismail
language : en
Publisher: Asadel Publisher
Release Date : 2023-08-04
Leading The Digital Transformation written by Andy Ismail and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Business & Economics categories.
In today's rapidly evolving digital landscape, organizations face an imperative to adapt and thrive. In "Leading the Digital Transformation: Evidence from Indonesia," readers will explore the concept of digital leadership and its significance in the current digital era. This comprehensive book delves into the fundamental principles of digital leadership and its crucial role in driving successful digital transformation. The journey begins with an in-depth introduction to Digital Leadership, discussing its definition and significance. The book elucidates the key distinctions between traditional leadership and digital leadership, revealing how the latter is becoming increasingly pivotal in modern organizational settings. Readers will embark on an exploration of the essential characteristics and key competencies that a digital leader must possess, laying the foundation for effective leadership in the digital context. The theoretical underpinnings of Digital Leadership are thoroughly examined, providing readers with the necessary knowledge to comprehend and implement these principles in practical scenarios. Armed with relevant leadership principles, the book offers invaluable insights into strategies and steps for successful digital transformation. Innovation emerges as a vital component of Digital Leadership, and readers will learn how to foster an innovation culture within their organizations. Amidst the digital age's virtual teams and collaboration, the book addresses the leadership skills required to effectively manage remote teams. Emphasizing the importance of building a collaborative and inclusive work culture, readers will acquire essential skills to lead teams efficiently in the digital era. Security and digital ethics pose significant challenges in the digital landscape, and this book presents real-world examples of digital security threats. Readers will gain awareness of digital security threats and the role of leaders in safeguarding their organizations. Implementing digital ethics and policies becomes a focal point in the context of Digital Leadership. The power of data and analytics in business decision-making is illuminated, showcasing how data-driven leadership can enhance organizational performance. Readers will learn to optimize data and analytics to make informed and impactful decisions, equipped with the skills necessary for data-driven leadership. In the pursuit of sustainable Digital Leadership, readers will explore the development of long-term strategies to adapt to technological advancements continuously. The book emphasizes the importance of nurturing digital intelligence and encourages the promotion of Digital Leadership at all levels of the organization. "Leading the Digital Transformation: Evidence from Indonesia" is an indispensable guide for leaders, entrepreneurs, and professionals seeking to navigate the complexities of the digital world and lead their organizations to success. Contributors Graduate Students in Master of Management STIE BANK BPD Jateng 1. Dadang Kurniawan 2. Fithrotun Nadiah 3. Deilly Ismet Perkasa 4. Ray March Syahadat 5. Billy Aditya Pratama 6. Dina Kusumawardani 7. Bayu Setya Yunykusmiarso 8. Wildan Hermawan 9. Tedi Pranoto 10. Dian Anggraeni 11. Dessy Setyorini 12. Indah Roikhatul Janah 13. Amin Yunianto, SST. SH 14. Silvia Rinawati 15. Ely Azizah 16. Shasa Thesarani 17. Ito Septanto Hernawan 18. Indra Harjo 19. Ghufron 20. Reza Bagus Aditya Pradana 21. Anna Anggraeny 22. Abdullah Baligh Amali 23. Ika Puspitasari 24. Nur Ibnu Khakim 25. Yohanes Harry Kusmono 26. Dwi Setyawati 27. Johanes Suwarno 28. Aditya Priyanugraha 29. Muhamad Wakhid Nugroho 30. Dian Kemala Devi 31. Sugiarto
Artificial Intelligence And Machine Learning In Business Strategies For Digital Transformation
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Author : Ravi Mandliya Dr. Rahul Kumar
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-18
Artificial Intelligence And Machine Learning In Business Strategies For Digital Transformation written by Ravi Mandliya Dr. Rahul Kumar and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-18 with Computers categories.
Artificial Intelligence (AI) and Machine Learning (ML) are no longer the technologies of tomorrow—they are the driving forces of today’s digital transformation. Across industries, businesses are leveraging these powerful tools to optimize operations, deliver personalized customer experiences, and gain a competitive edge. Yet, the path to harnessing AI and ML effectively is riddled with challenges, from strategic integration to ethical considerations. "Artificial Intelligence and Machine Learning in Business: Strategies for Digital Transformation" is designed to bridge the gap between technical innovation and practical application. This book provides business leaders, strategists, and technology enthusiasts with a roadmap to understand, implement, and scale AI and ML initiatives in the context of modern business environments. The pages ahead delve into: • The fundamentals of AI and ML and their relevance to business strategy. • Case studies that showcase successful digital transformations across various industries. • Frameworks for identifying opportunities where AI and ML can drive value. • Guidance on navigating ethical concerns and ensuring responsible AI use. • Techniques for fostering organizational readiness and talent development. The goal of this book is not just to demystify AI and ML but to empower readers to see them as integral tools for driving innovation and achieving measurable outcomes. By focusing on real- world applications, we aim to provide insights that resonate with both technical teams and decision-makers, fostering collaboration across the enterprise. In a rapidly changing digital landscape, businesses must adapt or risk being left behind. AI and ML offer not only the means to adapt but also the opportunity to lead. This book serves as a companion for those ready to embark on this transformative journey, offering strategies that are both visionary and actionable Authors
Artificial Intelligence With Python
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Author : Prateek Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-27
Artificial Intelligence With Python written by Prateek Joshi 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 2017-01-27 with Computers categories.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Artificial Intelligence And Machine Learning Fundamentals
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Author : Zsolt Nagy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-12
Artificial Intelligence And Machine Learning Fundamentals written by Zsolt Nagy 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 2018-12-12 with Computers categories.
Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2020-10-20
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.