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Author : Reinier van den Biggelaar
Publisher : Van Haren
ISBN 13 : 9401810583
Total Pages : 445 pages
Book Rating : 4.86/5 ( download)
Download or read book AI Fundamentals Courseware written by Reinier van den Biggelaar and published by Van Haren. This book was released on with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Van Haren Publishing
Publisher : Van Haren Publishing
ISBN 13 : 9789401810579
Total Pages : 0 pages
Book Rating : 4.75/5 ( download)
Download or read book AI Fundamentals Courseware written by Van Haren Publishing and published by Van Haren Publishing. This book was released on 2024-05-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as "Where does Data Management end and AI application begin?" from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it's three-day combined program. It's also possible to cut the material in pieces for a module teaching approach. -The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. -This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. -EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 1786469677
Total Pages : 437 pages
Book Rating : 4.70/5 ( download)
Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Osondu Oguike
Publisher : Bentham Science Publishers
ISBN 13 : 1681088541
Total Pages : 343 pages
Book Rating : 4.49/5 ( download)
Download or read book A First Course in Artificial Intelligence written by Osondu Oguike and published by Bentham Science Publishers. This book was released on 2021-07-14 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.
Author : Julian Sharp
Publisher : Microsoft Press
ISBN 13 : 9780137358038
Total Pages : 0 pages
Book Rating : 4.32/5 ( download)
Download or read book Exam Ref AI-900 Microsoft Azure AI Fundamentals written by Julian Sharp and published by Microsoft Press. This book was released on 2021-11-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft AI-900 Microsoft Azure AI Fundamentals certification exam. Exam Ref AI-900 Microsoft Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to demonstrate real-world mastery of common machine learning (ML) and artificial intelligence (AI) workloads and how to use them in Azure.
Author : W. Bibel
Publisher : Springer
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.53/5 ( download)
Download or read book Fundamentals of Artificial Intelligence written by W. Bibel and published by Springer. This book was released on 1986 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : I. Almeida
Publisher : Now Next Later AI
ISBN 13 : 0645510564
Total Pages : 267 pages
Book Rating : 4.60/5 ( download)
Download or read book Artificial Intelligence Fundamentals for Business Leaders written by I. Almeida and published by Now Next Later AI. This book was released on 2023-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2024 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.
Author : Wahbe Rezek
Publisher : Van Haren
ISBN 13 : 9401810869
Total Pages : 105 pages
Book Rating : 4.69/5 ( download)
Download or read book Text Generative AI courseware written by Wahbe Rezek and published by Van Haren. This book was released on with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: The course is mainly practical (applying generative AI/prompt-engineering), in action activities where you make prompts and learn best practices on Text Generative AI, while doing. Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Understanding of the architecture behind the model Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI Individuals who need a basic understanding Text Generative AI Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with it Business Analyst. The course is mainly practical, with interactive activities where you make prompts and learn by doing. You will also get feedback and guidance from experienced instructors and peers. By the end of the course, you will be able to: • Gain a comprehensive understanding of Text Generative AI and its capabilities • Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases • Master the skill of prompt engineering for effective interaction with Text Generative AI • Learn how to integrate Text Generative AI into existing workflows • Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: • Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them • Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI • Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.
Author : Lisa Dombrovskij
Publisher : Van Haren
ISBN 13 : 9401808392
Total Pages : 153 pages
Book Rating : 4.92/5 ( download)
Download or read book NL AIC AI For Business and Government Courseware written by Lisa Dombrovskij and published by Van Haren. This book was released on 2022-11-23 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI For Business and Government is a standard for all professionals. 'AI For Business and Government' is a certification that can be obtained after passing the corresponding exam. This can be best be achieved by participating in an AI For Business training course. This course is aimed at generic professionals working in business or government who do not necessarily have much experience with AI, or data or IT in general. However, they do want to understand what AI is, how it can benefit or affect their business environment and how they can leverage this to their advantage. Topics covered include the benefits of AI applications, data management for AI, building and assessing an AI application, ethics, risks and reliability, and organizational success factors for enabling humans and machines to work together. ‘Where does Data Management end and AI application begin?’ The subjects covered are enumerated below, and are addressed in the course from a management perspective: · 1. The applications and benefits of AI · 2. Data, robots and definition of AI · 3. Predictions, algorithms, machine and deep learning · 4. Build and review an AI application · 5. Data management for AI · 6. Ethics and trustworthiness · 7. Organizational success factors for helping man and machine to work together · 8. The future of AI This certificate was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence (AI) in their work environment and managers who need to decide on the general application and/or use of AI. A professional will learn what AI could mean for an organization and how to organize, implement and execute it. As a result, the exam is very application-oriented.
Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.69/5 ( download)
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
