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Wesley Learns About Credit
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Book Synopsis Wesley Learns About Credit by : Prince Dykes, MBA, IAR SA
Download or read book Wesley Learns About Credit written by Prince Dykes, MBA, IAR SA and published by Lulu.com. This book was released on 2017-02-06 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: AWARD WINNING FATHER & SON AUTHORS PRINCE & WESLEY DYKES ARE BACK! Introducing for the first time ever, a fictional children's book offering a kid-friendly peak into the world of credit. When Wesley goes to his uncle Rob's house for summer break, he has no idea he's going to learn about something entirely new to him. Uncle Rob has wanted a new car for a while. When he spots a great deal for one online, he takes Wesley to the dealership with him to check it out. Unfortunately, there is a problem with Uncle Rob's credit, and the deal can't be made. Uncle Rob sadly leaves without the car, and this leaves Wesley confused and perplexed about just what credit is. As he learns the ins and outs of credit, Wesley also comes up with a brilliant idea to help Uncle Rob. Follow Wesley as he learns the lessons of what it means to have, maintain, and restore credit. This children's story shows how one little boy learns about credit, offering a kid-friendly introduction into the world of credit and finance.
Book Synopsis Wesley Learns about Credit by : Prince Dykes
Download or read book Wesley Learns about Credit written by Prince Dykes and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This children's story shows how one little boy learns about credit, offering a kid-friendly lintroduction into the world of credit and finance."--Page 4 of cover
Book Synopsis Wesley Learns to Invest by : Prince Dykes, MBA
Download or read book Wesley Learns to Invest written by Prince Dykes, MBA and published by Lulu.com. This book was released on 2015-06-24 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Young Wesley is about to turn eleven years old, and he really wants a new GS4 gaming system. But money doesn't grow on trees, so Wesley will have to work hard and save his money to be able to make that purchase. Wesley's dad helps him out by teaching him the importance of investing and how stocks work"--Page 4 of cover.
Book Synopsis Wesley Learns about Insurance by : Prince Dykes
Download or read book Wesley Learns about Insurance written by Prince Dykes and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Wesley is getting a ride to soccer practice in his uncle Rob's new car, which Wesley had helped him buy with some great advice about credit. Suddenly, Uncle Rob accidentally backs into a tree! No one is hurt, but Uncle Rob can't afford to fix his car because he doesn't have car insurance ... This children's story, part of a series, follows the continuing financial adventures of Wesley and offers a kid-friendly peek into the world of insurance."--Page 4 of cover
Book Synopsis Wesley Learns about Insurance by : Wesley Dykes
Download or read book Wesley Learns about Insurance written by Wesley Dykes and published by . This book was released on 2019-04-24 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wesley is getting a ride to soccer practice in his uncle Rob's new car, which Wesley had helped him buy with some great advice about credit. Suddenly, Uncle Rob accidentally backs into a tree! No one is hurt, but Uncle Rob can't afford to fix his car because he doesn't have car insurance. Puzzled about insurance and what it is, Wesley begins asking questions. Fortunately for him, NFL Hall of Famer Terrell Davis is teaching kids about finance at the local children's club. With Mr. Davis's help, Wesley learns what a premium is, how a policy works, what deductibles are, and how many things can be insured. After seeing Uncle Rob's experiences, Wesley decides that having insurance for his lawn mower would be a good idea in case something bad happens to it. After all, that's how he earns his money! But will his insurance pay out when he breaks his lawn mower in an accident?
Book Synopsis Rating Based Modeling of Credit Risk by : Stefan Trueck
Download or read book Rating Based Modeling of Credit Risk written by Stefan Trueck and published by Academic Press. This book was released on 2009-01-15 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing. It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling. Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book The book is based on in-depth work by Trueck and Rachev
Book Synopsis Credit Risk Scorecards by : Naeem Siddiqi
Download or read book Credit Risk Scorecards written by Naeem Siddiqi and published by John Wiley & Sons. This book was released on 2012-06-29 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Credit Risk Scorecards "Scorecard development is important to retail financial services in terms of credit risk management, Basel II compliance, and marketing of credit products. Credit Risk Scorecards provides insight into professional practices in different stages of credit scorecard development, such as model building, validation, and implementation. The book should be compulsory reading for modern credit risk managers." —Michael C. S. Wong Associate Professor of Finance, City University of Hong Kong Hong Kong Regional Director, Global Association of Risk Professionals "Siddiqi offers a practical, step-by-step guide for developing and implementing successful credit scorecards. He relays the key steps in an ordered and simple-to-follow fashion. A 'must read' for anyone managing the development of a scorecard." —Jonathan G. Baum Chief Risk Officer, GE Consumer Finance, Europe "A comprehensive guide, not only for scorecard specialists but for all consumer credit professionals. The book provides the A-to-Z of scorecard development, implementation, and monitoring processes. This is an important read for all consumer-lending practitioners." —Satinder Ahluwalia Vice President and Head-Retail Credit, Mashreqbank, UAE "This practical text provides a strong foundation in the technical issues involved in building credit scoring models. This book will become required reading for all those working in this area." —J. Michael Hardin, PhD Professor of StatisticsDepartment of Information Systems, Statistics, and Management ScienceDirector, Institute of Business Intelligence "Mr. Siddiqi has captured the true essence of the credit risk practitioner's primary tool, the predictive scorecard. He has combined both art and science in demonstrating the critical advantages that scorecards achieve when employed in marketing, acquisition, account management, and recoveries. This text should be part of every risk manager's library." —Stephen D. Morris Director, Credit Risk, ING Bank of Canada
Book Synopsis The Theory of Debit and Credit in Accounting by : Robert Gardner McClung
Download or read book The Theory of Debit and Credit in Accounting written by Robert Gardner McClung and published by . This book was released on 1913 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Understanding Credit by : Carla Mooney
Download or read book Understanding Credit written by Carla Mooney and published by Lerner Publications ™. This book was released on 2017-08-01 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is easy to spend money when you have a credit card or a loan. But it is also easy to spend or borrow more than you can afford. How can you use credit responsibly? How can you avoid going into debt? Read this book to understand how credit works.
Book Synopsis Machine Learning in Production by : Andrew Kelleher
Download or read book Machine Learning in Production written by Andrew Kelleher and published by Addison-Wesley Professional. This book was released on 2019-02-27 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish. The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments. Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projects Learn from practical Python code examples and visualizations that bring essential algorithmic concepts to life Start with simple heuristics and improve them as your data pipeline matures Avoid bad conclusions by implementing foundational error analysis techniques Communicate your results with basic data visualization techniques Master basic machine learning techniques, starting with linear regression and random forests Perform classification and clustering on both vector and graph data Learn the basics of graphical models and Bayesian inference Understand correlation and causation in machine learning models Explore overfitting, model capacity, and other advanced machine learning techniques Make informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Download or read book Money and Teens written by Wesley Karchut and published by Copper Square Studios, LLC. This book was released on 2012-09-17 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learn the most essential money skills before you: Hand over your credit card ; take out a student loan ; sign up for a cell phone contract ; apply for a car loan ; start a job ; buy one more thing online. Practical, no-nonsense ways to manage your money so you waste less and have more. this book offers real-life skills you can use right away, not fake promises to make you rich or to find "easy money". Learn how to avoid the money minefields waiting for you at every turn. Don't waste another dime on fees, sneaky retailer pricing games, and online come-ons. Master the most essential money skills--not therory-- and apply them right away. Use your new, money skills to get the things you want: Computer ; Car ; College education."--back cover
Book Synopsis Machine Learning with Python for Everyone by : Mark Fenner
Download or read book Machine Learning with Python for Everyone written by Mark Fenner and published by Addison-Wesley Professional. This book was released on 2019-07-30 with total page 1376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Book Synopsis Deep Learning Illustrated by : Jon Krohn
Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author :Dave Robert Warren Graham Publisher :Iph Bokks - Wealth Management Academy ISBN 13 :9781914409134 Total Pages :118 pages Book Rating :4.4/5 (91 download)
Book Synopsis Credit Repair Secrets by : Dave Robert Warren Graham
Download or read book Credit Repair Secrets written by Dave Robert Warren Graham and published by Iph Bokks - Wealth Management Academy. This book was released on 2021-04 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: 55% OFF bookstores!Discount Retail Price Now at 36,95$ AmazonBestseller-Allow your customers to fix bad credit issues like a pro
Download or read book Founders written by James Wesley, Rawles and published by Simon and Schuster. This book was released on 2013-07-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A former U.S. Army intelligence officer and editor of SurvivalBlog.com returns readers to the postapocalyptic world of Patriots, where a full-scale socioeconomic breakdown has eliminated all legal and technological infrastructure and subjected the world's survivors to constant violence and chaos.
Book Synopsis A Fatal Glow by : Valerie Wilson Wesley
Download or read book A Fatal Glow written by Valerie Wilson Wesley and published by Odessa Jones Mystery. This book was released on 2022-02-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Recently widowed Odessa Jones is sure the exclusive catering job she's scored from wealthy businessman Casey Osborne will propel her catering career into the big leagues. So when Dessa's pesky second sight warns her that Osborne is bad news, she ignores it. She wishes she hadn't when he drops dead at his brunch after sampling her homemade preserves. Osborne's death is declared a homcide. Dessa and the friends who helped her cook are considered suspects... To clear her name and find the truth, Dessa delves into Casey Osborne's life. Everyone from his sinister business partner to his tormented ex-wife has reason to kill him-and the opportunity to do it. with the help of her spirited aunt, loyal co-workers and mischievous cat Juniper, she desparately searches for answers. Until a second murder leads Dessa down a frightening path filled with insidious agendas-and someone poised to change her life forever."--
Book Synopsis A Heart Set Free by : Arnold A. Dallimore
Download or read book A Heart Set Free written by Arnold A. Dallimore and published by . This book was released on 1988 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the heroic days of the 18th century revival in Britain, Charles Wesley, the supreme poet of Christian experience, was a worthy third to George Whitefield and his own elder brother John. Arnold Dallimore understands Charles well, and tells his story inspiringly.
