A User's Guide for the Uniform Bank Performance Report PDF Download
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Author:
Publisher:
ISBN:
Category : Bank examination
Languages : en
Pages : 170
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Book Description
Author:
Publisher:
ISBN:
Category : Bank examination
Languages : en
Pages : 170
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Book Description
Author: Federal Financial Institutions Examination Council (U.S.)
Publisher:
ISBN:
Category : Bank examination
Languages : en
Pages : 50
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Book Description
Author: Iván Pastor Sanz
Publisher: Packt Publishing Ltd
ISBN: 1838647058
Category : Computers
Languages : en
Pages : 241
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Book Description
Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more. Key FeaturesUse R 3.5 to implement real-world examples in machine learningImplement key machine learning algorithms to understand the working mechanism of smart modelsCreate end-to-end machine learning pipelines using modern libraries from the R ecosystemBook Description Machine Learning with R Quick Start Guide takes you on a data-driven journey that starts with the very basics of R and machine learning. It gradually builds upon core concepts so you can handle the varied complexities of data and understand each stage of the machine learning pipeline. From data collection to implementing Natural Language Processing (NLP), this book covers it all. You will implement key machine learning algorithms to understand how they are used to build smart models. You will cover tasks such as clustering, logistic regressions, random forests, support vector machines, and more. Furthermore, you will also look at more advanced aspects such as training neural networks and topic modeling. By the end of the book, you will be able to apply the concepts of machine learning, deal with data-related problems, and solve them using the powerful yet simple language that is R. What you will learnIntroduce yourself to the basics of machine learning with R 3.5Get to grips with R techniques for cleaning and preparing your data for analysis and visualize your resultsLearn to build predictive models with the help of various machine learning techniquesUse R to visualize data spread across multiple dimensions and extract useful featuresUse interactive data analysis with R to get insights into dataImplement supervised and unsupervised learning, and NLP using R librariesWho this book is for This book is for graduate students, aspiring data scientists, and data analysts who wish to enter the field of machine learning and are looking to implement machine learning techniques and methodologies from scratch using R 3.5. A working knowledge of the R programming language is expected.
Author: United States. Congress. Senate. Committee on Small Business
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 310
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 836
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Book Description
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Transportation and Treasury, and Independent Agencies Appropriations
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 862
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Book Description
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Transportation and Treasury, and Independent Agencies Appropriations
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 840
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Book Description
Author: Lamia Obay
Publisher: Routledge
ISBN: 1135690413
Category : Business & Economics
Languages : en
Pages : 220
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Book Description
This book investigates the motivations behind the adoption of the technique of asset securitization by US commercial banks and its effects on the financial performances.
Author: Elizabeth Cooperman
Publisher: Taylor & Francis
ISBN: 1317480147
Category : Business & Economics
Languages : en
Pages : 495
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Book Description
This book goes beyond traditional financial institutions textbooks, which tend to focus on mathematical models for risk management and the technical aspects of measuring and managing risk. It focuses on the role of financial institutions in promoting social and economic goals for the communities in which they operate for the greater good, while also meeting financial and competitive challenges, and managing risks. Cooperman divides the text into seven easily teachable modules that examine the real issues and challenges that managers of financial institutions face. These include the transformative changes presented by social unrest, climate change and resource challenges, as well as the changes in how financial institutions operate in light of the opportunities that rapid innovations and disruptive technologies offer. The book features: Up-to-date coverage of new regulations affecting financial institutions, such as Dodd Frank and new SEC regulations. Material on project financing and new forms of financing, including crowd funding and new methods of payment for financial institutions. New sustainable finance models and strategies that incorporate environmental, social, and corporate governance considerations. A new chapter on sustainable financial institutions, social activism, the greening of finance, and socially responsible investing. Practical cases focusing on sustainability give readers insight into the socioeconomic risks associated with climate change. Streamlined and accessible, Managing Financial Institutions will appeal to students of financial institutions and markets, risk management, and banking. A companion website, featuring PowerPoint slides, an Instructor’s Manual, and additional cases, is also available.
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Transportation and Treasury, and Independent Agencies Appropriations
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 918
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Book Description
