Artificial Psychology

Artificial Psychology
Author: James A. Crowder
Publisher: Springer
Total Pages: 178
Release: 2019-05-21
Genre: Technology & Engineering
ISBN: 3030170810

This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to "trust" an autonomous artificial intelligent systems.

Artificial Intelligence

Artificial Intelligence
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
Total Pages: 336
Release: 2019-10-15
Genre: Computers
ISBN: 0374715238

Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

Up Your Score: ACT, 2018-2019 Edition

Up Your Score: ACT, 2018-2019 Edition
Author: Chris Arp
Publisher: Workman Publishing
Total Pages: 369
Release: 2017-09-19
Genre: Study Aids
ISBN: 0761193669

Fully updated to reflect the most current version of the ACT, Up Your Score: ACT remains the test prep and survival guide that kids will actually want to use. Written by Chris Arp, a Princeton graduate and top ACT tutor—with the help of four students who aced the test (and went on to the colleges of their choice)—it’s a true insider’s guide, filled with effective strategies and tips, delivered with the attitude, smarts, and wit that make Up Your Score the bestselling alternative test-prep series in print. ▪ Crush the reading section by developing the Five Habits of Lean Forward Reading. ▪ Master the math section through techniques like “plugging in,” an amazing trick that simplifies all algebra word problems. ▪ Annihilate the English section by absorbing six key punctuation and nine essential grammar rules. ▪ Sail through the science section by understanding that it actually tests reasoning. ▪ Plus, the latest information on ACT scoring and the essay test, revised in 2015 to be more open-ended and analytical.

Enterprise Artificial Intelligence Transformation

Enterprise Artificial Intelligence Transformation
Author: Rashed Haq
Publisher: John Wiley & Sons
Total Pages: 368
Release: 2020-06-10
Genre: Business & Economics
ISBN: 1119665973

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

The Official ACT Prep Guide 2020 - 2021, (Book + 5 Practice Tests + Bonus Online Content)

The Official ACT Prep Guide 2020 - 2021, (Book + 5 Practice Tests + Bonus Online Content)
Author: ACT
Publisher: John Wiley & Sons
Total Pages: 976
Release: 2020-04-21
Genre: Study Aids
ISBN: 1119685761

The only guide from the ACT organization, the makers of the exam, with 5 genuine, full-length practice tests in print and online. The Official ACT Prep Guide 2020-2021 is the only guide from the makers of the exam and it includes actual ACT test forms (taken from past ACT exams). It offers 5 actual ACT tests (all with optional writing tests) so you can practice at your own pace. To help you review, this guide provides detailed explanations for every answer and practical tips on how to boost your score on the English, math, reading, science, and optional writing tests. The test creators also created online resources accessible through this book. You can practice online with 5 full length practice tests to mimic the test day experience. These test questions can be organized, filtered, and tracked to test your exam performance. Get ready for test day with this bestselling guide to the ACT. The Official ACT Prep Guide 2020-2021 will help you feel comfortable, confident, and prepared to do your best to ace the ACT! The Official ACT Prep Guide 2020-2021 includes: Information about the September 2020 ACT enhancements Real ACT test forms used in previous years’ exams Five full-length tests available in the book and online, including one NEW full-length test with optional writing test Online practice that mimics the testing experience Customizable questions bank with detailed answer explanations Helpful advice for test day

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert
Publisher: Springer
Total Pages: 369
Release: 2019-01-29
Genre: Medical
ISBN: 3319948784

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

The Official ACT Prep Guide 2021-2022, (Book + 6 Practice Tests + Bonus Online Content)

The Official ACT Prep Guide 2021-2022, (Book + 6 Practice Tests + Bonus Online Content)
Author: ACT
Publisher: John Wiley & Sons
Total Pages: 25
Release: 2021-04-20
Genre: Study Aids
ISBN: 1119787343

THE OFFICIAL ACT® PREP GUIDE 2021-2022 The comprehensive guide to the 2021-2022 ACT® test, with 6 genuine, full-length practice tests in print and online. This 2021-2022 guide includes six actual ACT® tests – all of which contain the optional writing test – that you can use to practice at your own pace. To help you review test subjects and improve your understanding, this guide provides clear explanations for every answer. You’ll also get practical tips for boosting your score on the English, math, reading, and science tests, as well as the optional writing test. Additionally, you can access the six tests online through the access code provided in the guide. The code also provides access to 400 online flashcards to help you prepare for all sections in the ACT® examination. The test’s creators filled this guide with expert advice on how to both mentally and physically prepare for the exam. It will also help you: Review the entire ACT® test content so you’ll know what to expect on test day Understand the procedures you’ll follow when you’re taking the ACT® Prepare for the types of questions you can expect to find on the test Adopt test-taking strategies that are right for you The Official ACT® Prep Guide 2021-2022 is the best resource to prepare you for test day. By using this guide you can feel comfortable that you’re prepared to do your best!

Interpretable Machine Learning

Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
Total Pages: 320
Release: 2020
Genre: Computers
ISBN: 0244768528

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.