This set is for students to are part of an instructor let course. Intended for those studying for Parts 1 and 2 of the CMA exam, this set includes study texts, student participant guides, and two-year access to the online test bank.

This set is for students to are part of an instructor let course. Intended for those studying for Part 2 of the CMA exam, this set includes study text, student participant guide, and one-year access to the online test bank.

This set is for students to are part of an instructor let course. Intended for those studying for Part 1 of the CMA exam, this set includes study text, student participant guide, and one-year access to the online test bank.

The definitive Certified Internal Auditor Exam preparation guide Designed to help you rigorously and thoroughly prepare for the Certified Internal Auditor (CIA) Exam, Wiley CIA Exam Review 2014 Part 2, Internal Audit Practice covers the key topics on Part II of the exam. These include conducting engagements; carrying out specific engagements; monitoring engagement outcomes; fraud knowledge elements; and engagement tools. Features a full exploration of theory and concepts Prepares students to properly understand the weight given to topics on the exam and react accordingly Includes indications of the level of difficulty for each topic in order to properly manage study time and focus areas Offers comprehensive coverage of exam material along with a glossary of applicable terminology Expert author S. Rao Vallabhaneni puts his twenty-five years of internal auditing and accounting management experience to work to bring you the definitive resource to help you prepare for the CIA Exam.

Showing you how to take a structured and organized approach to a wide range of literature review types, this book helps you to choose which approach is right for your research. Packed with constructive tools, examples, case studies and hands-on exercises, the book covers the full range of literature review techniques. New to This Edition: Full re-organization takes you step-by-step through the process from beginning to end New chapter showing you how to choose the right method for your project Practical guidance on integrating qualitative and quantitative data New coverage of rapid reviews Comprehensive inclusion of literature review tools, including concept analysis, scoping and mapping With an emphasis on the practical skills, this guide is essential for any student or researcher needing to get from first steps to a successful literature review.

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.