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AI in Banking: Practical Applications and Case Studies
by Min He Liyu Shao Qin ChenBig data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. It provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, Bayesian networks, edge computing, and more. This book stands as a rare and practical guide to AI projects in the banking industry. By avoiding complex mathematical formulas and theoretical analyses, it uses plain language to illustrate how to apply AI technology in commercial banking business scenarios. With its strong readability and practical approach, this book enables readers to swiftly develop their own AI projects.
AI in Business: Volume 2 (Studies in Systems, Decision and Control #516)
by Reem Khamis Amina BuallayThis book is a comprehensive guide to understanding the potential of artificial intelligence (AI) in improving business functions, as well as the limitations and challenges that come with its implementation. In this book, readers will learn about the various opportunities that AI presents in business, including how it can automate routine tasks, reduce errors, and increase efficiency. The book covers a range of topics, including how AI can be used in financial reporting, auditing, fraud detection, and tax preparation. However, the book also explores the limitations of AI in business, such as the need for skilled professionals, data quality, and the potential for bias. It examines the challenges that companies face when implementing AI in business functions, including the need for ethical considerations, transparency, and accountability. The book is written for business professionals, business leaders, and anyone interested in the potential of AI in business functions. It offers practical advice on how to implement AI effectively and provides insights into the latest developments in AI technology. Through case studies and real-world examples, readers will gain a deeper understanding of how AI can be used to enhance business functions, as well as the potential pitfalls and limitations to be aware of. Overall, this book is an essential guide for anyone looking to harness the power of AI to improve their business functions and to stay ahead in an increasingly competitive business environment.
AI in Drug Discovery: First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings (Lecture Notes in Computer Science #14894)
by Igor V. Tetko Jürgen Schmidhuber Michael Wand Kristína Malinovská Djork-Arné ClevertThis open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
AI in and for Africa: A Humanistic Perspective (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Susan Brokensha Eduan Kotzé Burgert A. SenekalAI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence (AI) with Africa’s unique socio-economic realities. This book is the first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent. Given the existence of significant disparities in Africa related to gender, race, labour, and power, the book argues that the continent requires different AI solutions to its problems, ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI’s diversity crisis, the absence of ethical policies around AI that are tailor-made for Africa, the ever-widening digital divide, and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with the goal of ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few, it does not support the notion that the continent should simply opt for a "one-size-fits-all" solution either. Rather, in light of Africa’s rich diversity, the book embraces the need for plurality within different regions’ AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly addresses how Africa’s unique landscape is entwined in an AI ecosystem. The book also works to provide actionable AI tenets that can be incorporated into policy documents that suit Africa’s needs. This book will be of great interest to researchers, students, and readers who wish to critically appraise the different facets of AI in the context of Africa, across many areas that run the gamut from education, gender studies, and linguistics to agriculture, data science, and economics. This book is of special appeal to scholars in disciplines including anthropology, computer science, philosophy, and sociology, to name a few.
AI*IA 2016 Advances in Artificial Intelligence: XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 – December 1, 2016, Proceedings (Lecture Notes in Computer Science #10037)
by Giovanni Adorni, Stefano Cagnoni, Marco Gori and Marco MarateaThis book constitutes the refereed proceedings of the 15th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2016, held in Genova, Italy, in November/December 2016. The 39 full papers presented were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on optimization and evolutionary algorithms; classification, pattern recognition, and computer vision; multi-agent systems; machine learning; semantic web and description logics; natural language processing; planning and scheduling; and formal verification.
AI*IA 2017 Advances in Artificial Intelligence: XVIth International Conference of the Italian Association for Artificial Intelligence, Bari, Italy, November 14-17, 2017, Proceedings (Lecture Notes in Computer Science #10640)
by Stefano Ferilli Roberto Basili Floriana Esposito Francesca A. LisiThis book constitutes the refereed proceedings of the 16th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2017, held in Bari, Italy, in November 2017. The 37 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on applications of AI; natural language processing; knowledge representation and reasoning; knowledge engineering, ontologies and the semantic web; machine learning; philosophical foundations, metacognitive modeling and ethics; and planning and scheduling.
AI*IA 2018 – Advances in Artificial Intelligence: XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20–23, 2018, Proceedings (Lecture Notes in Computer Science #11298)
by Chiara Ghidini Paolo Traverso Bernardo Magnini Andrea PasseriniThis book constitutes the refereed proceedings of the XVIIth International Conference of the Italian Association for Artificial Intelligence, AI*IA 2018, held in Trento, Italy, in November 2018. The 41 full papers were carefully reviewed and selected from 67 submissions. The papers have been organized in the following topical sections: Agents and Multi-Agent Systems; Applications of AI; Knowledge Engineering, Ontologies and the Semantic Web; Knowledge Representation and Reasoning; Machine Learning; Natural Language Processing; Planning and Scheduling; and Recommendation Systems and Decision Making.
AI*IA 2019 – Advances in Artificial Intelligence: XVIIIth International Conference of the Italian Association for Artificial Intelligence, Rende, Italy, November 19–22, 2019, Proceedings (Lecture Notes in Computer Science #11946)
by Mario Alviano Gianluigi Greco Francesco ScarcelloThis book constitutes the proceedings of the XVIIIth International Conference of the Italian Association for Artificial Intelligence, AI*IA 2019, held in Rende, Italy, in November 2019. The 41 full papers were carefully reviewed and selected from 67 submissions. The papers have been organized in the following topical sections: Knowledge Representation for AI, AI and Computation, Machine Learning for AI, and AI and Humans.
AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS)
by Rakesh Kumar Anand Nayyar Meenu GuptaThis book provides an overview of AI-powered nutritional interventions for the management of Polycystic Ovary Syndrome (PCOS). It focuses on AI-driven diagnostics for swift and accurate PCOS identification, personalized nutrition plans integrating genetic and hormonal data, and behavioral interventions promoting adherence. The book bridges the gap between technological innovation and clinical practice, leading to a new era of precision medicine in women's health. Chapters cover information from AI-tailored nutrition plans to suit individual PCOS profiles to insights into micronutrients, macronutrients, and dietary choices. They also address glycemic control, hormonal balance, and holistic wellness. Further chapters cover the ethical dimensions of AI in healthcare while championing patient empowerment. It also provides real-time monitoring through wearable tech and ethical considerations surrounding AI implementation in healthcare. The book includes real-life success stories, case studies, and practical guidance to aid decision-making. The book is relevant for healthcare professionals, gynecologists, nutritionists, and researchers to harness artificial intelligence’s potential in optimizing women's health and well-being.
AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability
by Iqbal H. SarkerThis book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world.Overall, the useof AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets rapidly, identifying patterns that indicate malicious activities, detecting threats in real time as well as conducting predictive analytics for proactive solution. Moreover, AI enhances the ability to detect anomalies, predict potential threats, and respond swiftly, preventing risks from escalated. As cyber threats become increasingly diverse and relentless, incorporating AI/XAI into cybersecurity is not just a choice, but a necessity for improving resilience and staying ahead of ever-changing threats. This book targets advanced-level students in computer science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.
AI-Driven Mechanism Design (Artificial Intelligence: Foundations, Theory, and Algorithms)
by Weiran Shen Pingzhong Tang Song ZuoDue to its huge success in industry, mechanism design has been one of the central research topics at the interface of economics and computer science. However, despite decades of effort, there are still numerous challenges, in terms of both theory and applications. These include the problem of how to design mechanisms for selling multiple items, dynamic auctions, and balancing multiple objectives, given the huge design space and buyer strategy space; and the fact that in practice, the most widely applied auction format (the generalized second price auction) is neither truthful nor optimal. Furthermore, many theoretical results are based upon unrealistic assumptions that do not hold in real applications. This book presents the AI-driven mechanism design framework, which aims to provide an alternative way of dealing with these problems. The framework features two abstract models that interact with each other: the agent model and the mechanism model. By combining AI techniques with mechanism design theory, it solves problems that cannot be solved using tools from either domain alone. For example, it can reduce the mechanism space significantly, build more realistic buyer models, and better balance different objectives. The book focuses on several aspects of mechanism design and demonstrates that the framework is useful in both theoretical analysis and practical applications.
AI-ML for Decision and Risk Analysis: Challenges and Opportunities for Normative Decision Theory (International Series in Operations Research & Management Science #345)
by Louis Anthony Cox Jr.This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also contributed to making normative decision theory more useful by forcing it to confront realistic complexities. These include skill acquisition, uncertain and time-consuming implementation of intended actions, open-world uncertainties about what might happen next and what consequences actions can have, and learning to cope effectively with uncertain and changing environments. The result is a more robust and implementable technology for AI/ML-assisted decision-making.The book is intended to inform a wide audience in related applied areas and to provide a fun and stimulating resource for students, researchers, and academics in data science and AI-ML, decision analysis, and other closely linked academic fields. It will also appeal to managers, analysts, decision-makers, and policymakers in financial, health and safety, environmental, business, engineering, and security risk management.
AI-Powered Ecommerce: How Machine Learning Is Transforming Online Shopping
by Ramgopal PrajapatThis book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success. The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce. Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape. What You Will Learn Understand the buyer and seller aspects of ecommerce platforms and how they engage customers Know the diverse landscape of ecommerce business models Apply AI/ML technologies to ecommerce to enhance user experience and drive business outcomes Know how AI/ML can influence revenue generation and cost optimization in ecommerce businesses Who This Book Is For Data scientists, machine learning engineers, product and category managers in ecommerce, and business executives
AMSCO'S Geometry
by Ann Xavier GantertTo provide students with a comprehensive textbook designed for complete coverage of the New York State Core Curriculum for Geometry.
AMSCO's Integrated Algebra 1
by Ann Xavier GantertA new textbook designed for complete coverage of the New York State Core Curriculum for Integrated Algebra.
ANOVA and ANCOVA
by Andrew RutherfordProvides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspectiveANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA.The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include:Discussion of optimal experimental designsDifferent approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analysesThe issue of inflated Type 1 error due to multiple hypotheses testingWorked examples of Shaffer's R test, which accommodates logical relations amongst hypothesesANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.
ANOVA and Mixed Models: A Short Introduction Using R (Chapman & Hall/CRC The R Series)
by Lukas MeierANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization and model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications. Features Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates available at https://stat.ethz.ch/~meier/teaching/book-anova/ This book is primarily aimed at students, researchers, and practitioners from all areas who wish to analyze corresponding data with R. Readers will learn a broad array of models hand-in-hand with R, including the applications of some of the most important add-on packages.
ANOVA with Dependent Errors (SpringerBriefs in Statistics)
by Masanobu Taniguchi Anna Clara Monti Xiaofei Xu Yuichi Goto Hideaki NagahataThis book presents the latest results related to one- and two-way models for time series data. Analysis of variance (ANOVA) is a classical statistical method for IID data proposed by R.A. Fisher to investigate factors and interactions of phenomena. In contrast, the methods developed in this book apply to time series data. Testing theory of the homogeneity of groups is presented under a wide variety of situations including uncorrelated and correlated groups, fixed and random effects, multi- and high-dimension, parametric and nonparametric spectral densities. These methods have applications in several scientific fields. A test for the existence of interactions is also proposed. The book deals with asymptotics when the number of groups is fixed and sample size diverges. This framework distinguishes the approach of the book from panel data and longitudinal analyses, which mostly deal with cases in which the number of groups is large. The usefulness of the theory in this book is illustrated by numerical simulation and real data analysis. This book is suitable for theoretical statisticians and economists as well as psychologists and data analysts.
AP Calculus AB & BC Prep Plus 2019-2020: 6 Practice Tests + Study Plans + Targeted Review & Practice + Online (Kaplan Test Prep)
by Kaplan Test PrepKaplan's AP Calculus AB & BC Prep Plus 2019-2020 is completely restructured and aligned with the current AP exams, giving you efficient review of the most-tested content to quickly build your skills and confidence. With bite-sized, test-like practice sets and customizable study plans, our guide fits your schedule.Personalized Prep. Realistic Practice.Six full-length Kaplan practice exams and an online test scoring tool to convert your raw score into a 1–5 scaled scorePre- and post-quizzes in each chapter so you can monitor your progressCustomizable study plans tailored to your individual goals and prep time to help you get the score you need in the time you haveOnline quizzes and workshops for additional practiceFocused content review on the essential concepts to help you make the most of your study timeTest-taking strategies designed specifically for AP CalculusExpert GuidanceWe know the test—our AP experts make sure our practice questions and study materials are true to the examWe know students—every explanation is written to help you learn, and our tips on the exam structure and question formats will help you avoid surprises on Test DayWe invented test prep—Kaplan (www.kaptest.com) has been helping students for 80 years, and more than 95% of our students get into their top-choice schools
AP Calculus AB Prep Plus 2018-2019: 3 Practice Tests + Study Plans + Targeted Review & Practice + Online
by Tamara Lefcourt Ruby James Sellers Lisa Korf Jeremy Van Horn Mike MunnKaplan's AP Calculus AB Prep Plus 2018-2019 is completely restructured and aligned with the current AP exam, giving you concise review of the most-tested content to quickly build your skills and confidence. With bite-sized, test-like practice sets and customizable study plans, our guide fits your schedule.Personalized Prep. Realistic Practice.Three full-length Kaplan practice exams with online test scoring includedPre- and post-quizzes in each chapter so you can monitor your progressCustomizable study plans tailored to your individual goals and prep timeMore than 400 practice questions with detailed answer explanationsOnline quizzes and workshops for additional practiceFocused content review on the essential concepts to help you make the most of your study timeTest-taking strategies designed specifically for AP CalculusExpert GuidanceOur AP experts explain the ins and outs of the exam structure and question formats so you can avoid surprises on Test Day.We know the test: Our expert AP teachers provide tips and strategies for scoring higher and making the most of your timeKaplan's expert psychometricians make sure our practice questions and study materials are true to the test.We invented test prep—Kaplan (www.kaptest.com) has been helping students for almost 80 years, and more than 95% of our students get into their top-choice schools. Our proven strategies have helped legions of students achieve their dreams.
AP Calculus AB Prep Plus 2020 & 2021: 8 Practice Tests + Study Plans + Targeted Review & Practice + Online (Kaplan Test Prep)
by Kaplan Test PrepKaplan's AP Calculus AB Prep Plus 2020 & 2021 is revised and aligned with the 2020 exam changes. This edition features 1,000 practice questions, full-length practice tests, and concise review of the most-tested content to quickly build your skills and confidence. With bite-sized, test-like practice sets, expert strategies, and customizable study plans, our guide fits your schedule.To access your online resources, go to kaptest.com/moreonline and follow the directions. You'll need your book handy to complete the process.Efficient Strategies. Realistic Practice.Eight full-length practice tests and an online test-scoring tool to convert your raw score into a 1–5 scaled scorePre- and post-quizzes in each chapter so you can monitor your progressCustomizable study plans tailored to your individual goals and prep time to help you get the score you need in the time you haveOnline quizzes and workshops for additional practiceFocused content review on the essential concepts to help you make the most of your study timeTest-taking strategies designed specifically for AP CalculusExpert GuidanceWe know the test—our AP experts make sure our practice questions and study materials are true to the exam.We know students—every explanation is written to help you learn, and our tips on the exam structure and question formats will help you avoid surprises on Test Day.We invented test prep—Kaplan (www.kaptest.com) has been helping students for 80 years, and 9 out of 10 Kaplan students get into one or more of their top-choice colleges.
AP Calculus BC Prep Plus 2020 & 2021: 6 Practice Tests + Study Plans + Targeted Review & Practice + Online (Kaplan Test Prep)
by Kaplan Test PrepKaplan's AP Calculus BC Prep Plus 2020 & 2021 is revised and aligned with the 2020 exam changes. This edition features 1,000 practice questions, full-length practice tests, and concise review of the most-tested content to quickly build your skills and confidence. With bite-sized, test-like practice sets, expert strategies, and customizable study plans, our guide fits your schedule.To access your online resources, go to kaptest.com/moreonline and follow the directions. You'll need your book handy to complete the process.Efficient Strategies. Realistic Practice.Six full-length practice tests and an online test-scoring tool to convert your raw score into a 1–5 scaled scorePre- and post-quizzes in each chapter so you can monitor your progressCustomizable study plans tailored to your individual goals and prep time to help you get the score you need in the time you haveOnline quizzes and workshops for additional practiceFocused content review on the essential concepts to help you make the most of your study timeTest-taking strategies designed specifically for AP CalculusExpert GuidanceWe know the test—our AP experts make sure our practice questions and study materials are true to the exam.We know students—every explanation is written to help you learn, and our tips on the exam structure and question formats will help you avoid surprises on Test Day.We invented test prep—Kaplan (www.kaptest.com) has been helping students for 80 years, and 9 out of 10 Kaplan students get into one or more of their top-choice colleges.
AP Calculus Flashcards, Fourth Edition: Up-to-Date Review and Practice (Barron's Test Prep)
by David BockBe prepared for exam day with Barron&’s. Trusted content from AP experts!Barron&’s AP Calculus AB & BC Flashcards includes more than 400 up-to-date content review cards and practice questions. Written by Experienced EducatorsLearn from Barron&’s--all content is written and reviewed by AP experts Build your understanding with review and practice tailored to the most recent exams Be Confident on Exam DayStrengthen your knowledge with in-depth review covering all units on the AP Calculus AB exam and the AP Calculus BC examFind specific concepts quickly and easily with cards organized by topicSharpen your test-taking skills with content review questionsCustomize your review using the enclosed sorting ring to arrange the cards in an order that best suits your study needsCheck out Barron&’s AP Calculus AB & BC Premium for even more review, full-length practice tests, and access to Barron&’s Online Learning Hub for a timed test option and automated scoring.
AP Calculus Premium, 2025: Prep Book with 12 Practice Tests + Comprehensive Review + Online Practice (Barron's AP Prep)
by Shirley O. Hockett David Bock Dennis Donovan M.S.Be prepared for exam day with Barron&’s. Trusted content from AP experts!Barron&’s AP Calculus Premium, 2025 includes in‑depth content review and practice for the AB and BC exams. It&’s the only book you&’ll need to be prepared for exam day. Written by Experienced EducatorsLearn from Barron&’s‑‑all content is written and reviewed by AP expertsBuild your understanding with comprehensive review tailored to the most recent examsGet a leg up with tips, strategies, and study advice for exam day‑‑it&’s like having a trusted tutor by your sideBe Confident on Exam DaySharpen your test‑taking skills with 12 full‑length practice tests‑‑3 AB practice tests and 3 BC practice tests in the book, including one diagnostic test each for AB and BC to target your studying‑‑and 3 more AB practice tests and 3 more BC practice tests online–plus detailed answer explanations for all questionsStrengthen your knowledge with in‑depth review covering all units on the AP Calculus AB and BC examsReinforce your learning with dozens of examples and detailed solutions, plus a series of multiple‑choice practice questions and answer explanations, within each chapterEnhance your problem‑solving skills by working through a chapter filled with multiple‑choice questions on a variety of tested topics and a chapter devoted to free‑response practice exercisesRobust Online PracticeContinue your practice with 3 full‑length AB practice tests and 3 full‑length BC practice tests on Barron&’s Online Learning HubSimulate the exam experience with a timed test optionDeepen your understanding with detailed answer explanations and expert adviceGain confidence with scoring to check your learning progress
AP Calculus Premium: With 12 Practice Tests (Barron's Test Prep)
by Shirley O. Hockett David Bock Dennis Donovan M.S.Barron's AP Calculus Premium has all the comprehensive review and practice tests you need for the AP Calculus AB and BC exams. Detailed subject review helps you master the test topics, while practice tests help you apply your skills so you can face test day with confidence. Written by experienced teachers who know the test, this premium edition features: Comprehensive content review covering topics for both AB and BC examsSix practice tests in Calculus AB: four in the book and two onlineSix practice tests in Calculus BC: four in the book and two onlineAdvice on how to use your graphing calculators efficiently