Ai Essentials Courseware
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Ai Essentials Courseware
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Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2023-12-02
Ai Essentials Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-02 with Architecture categories.
The AI Essentials courseware offers a comprehensive 1 day training program tailored for business and government professionals, focusing on the practical application and understanding of Artificial Intelligence (AI) in their respective work environments. This course is structured to provide a deeper insight into the fundamental concepts of human and Artificial Intelligence, emphasizing the role of Machine Learning (ML) as a pivotal contributor to AI's growth. Participants will explore the general definition of human and AI, delve into the concept of 'learning from experience,' and understand how this is integral to Machine Learning, based on Tom Mitchell's explicit definition. The course also illuminates how AI is an essential component of Universal Design and the Fourth Industrial Revolution. A significant focus is given to the challenges posed by AI, including a comparison of AI limitations against human systems and the ethical dilemmas AI presents. Participants will gain a comprehensive understanding of the risks associated with AI, typical funding sources for AI projects, and an enumeration of AI's potential applications. Crucially, the course will demonstrate how AI, particularly Machine Learning, is set to enhance collaboration between humans and machines. It will also provide a forecast of future directions in this symbiotic relationship, outlining the evolving landscape of human-machine collaboration. This courseware educates for: · The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. Follow up modules on this course are. · The 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. · The EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Ai Essentials Basics Courseware
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Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2024-11-06
Ai Essentials Basics Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-06 with Architecture categories.
#html-body [data-pb-style=U317V0N]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}The AI Essentials courseware offers a comprehensive 1 day training program tailored for business and government professionals, focusing on the practical application and understanding of Artificial Intelligence (AI) in their respective work environments. This course is structured to provide a deeper insight into the fundamental concepts of human and Artificial Intelligence, emphasizing the role of Machine Learning (ML) as a pivotal contributor to AI's growth. Participants will explore the general definition of human and AI, delve into the concept of 'learning from experience,' and understand how this is integral to Machine Learning, based on Tom Mitchell's explicit definition. The course also illuminates how AI is an essential component of Universal Design and the Fourth Industrial Revolution. A significant focus is given to the challenges posed by AI, including a comparison of AI limitations against human systems and the ethical dilemmas AI presents. Participants will gain a comprehensive understanding of the risks associated with AI, typical funding sources for AI projects, and an enumeration of AI's potential applications. Crucially, the course will demonstrate how AI, particularly Machine Learning, is set to enhance collaboration between humans and machines. It will also provide a forecast of future directions in this symbiotic relationship, outlining the evolving landscape of human-machine collaboration. This courseware educates for: The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. Follow up modules on this course are. The 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. The EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Ai Fundamentals Courseware
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Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2023-09-26
Ai Fundamentals Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Architecture categories.
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.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Ai Essentials Fundamentals Exam Preparation
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Author : Gitte Snoeren
language : en
Publisher: Van Haren
Release Date : 2024-09-16
Ai Essentials Fundamentals Exam Preparation written by Gitte Snoeren and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Business & Economics categories.
This exam preparation booklet is a comprehensive guide designed to help you earn your certification for the NL AIC AI Fundamentals (AI Brevet) and AI Basis. It can also be used for exams based on the EXIN BCS Artificial Intelligence Essentials and/or Foundation. For those focusing on the Artificial Intelligence Essentials, sections 1.1 and 2.1 are relevant, while all sections apply to the Artificial Intelligence Foundation. All the knowledge areas described in the preparation guide will be covered with exam-like questions. The number of questions per topic can differ, depending on the weights used in the formal exam requirements. The booklet is structured into two main sections: The first part features questions without answers, allowing you to test your knowledge and identify areas for improvement. The second part provides the correct answers along with concise explanations to enhance your understanding. This exam preparation booklet will help prepare you for various acknowledges AI certification exams and provides you with sertanty going in to the exam session.
Essentials Of Artificial Intelligence
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Author : Matt Ginsberg
language : en
Publisher: Newnes
Release Date : 2012-12-02
Essentials Of Artificial Intelligence written by Matt Ginsberg and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Computers categories.
Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.
Artificial Intelligence Foundations
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Author : Andrew Lowe
language : en
Publisher: BCS, The Chartered Institute for IT
Release Date : 2020-08-24
Artificial Intelligence Foundations written by Andrew Lowe and has been published by BCS, The Chartered Institute for IT this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with categories.
In line with the BCS AI Foundation and Essentials certificates, this book guides you through the world of AI. You will learn how AI is being utilised today, and how it is likely to be used in the future. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed.
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.
Cloud Essentials
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Author : Kalani Kirk Hausman
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-02
Cloud Essentials written by Kalani Kirk Hausman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-02 with Computers categories.
CompTIA-Authorized courseware for the Cloud Essentials Exam (CLO-001) What better way to get up to speed on cloud computing than with this new book in the popular Sybex Essentials series? Cloud Essentials covers the basics of cloud computing and its place in the modern enterprise. Explore public and private clouds; contrast the "as a service" models for PaaS, SaaS, IaaS, or XaaS platforms; plan security; and more. In addition, the book covers the exam objectives for the both the CompTIA Cloud Essentials (Exam CLO-001) exam and the EXIN Cloud Computing Foundation (EX0-116) certification exams and includes suggested exercises and review questions to reinforce your learning. Gets you up to speed on the hottest trend in IT--cloud computing Prepares IT professionals and those new to the cloud for and cover all of the CompTIA Cloud Essentials and EXIN Cloud Computing Foundation exam objectives Serves as CompTIA Authorized courseware for the exam Examines various models for cloud computing implementation, including public and private clouds Contrasts "as a service" models for platform (PaaS), software (SaaS), infrastructure (IaaS), and other technologies (XaaS) Identifies strategies for implementation on tight budgets and goes into planning security and service management Get a through grounding in cloud basics and prepare for your cloud certification exam with Cloud Essentials.
Machine Learning In Python
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Author : Michael Bowles
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-27
Machine Learning In Python written by Michael Bowles and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-27 with Computers categories.
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.