Beginning at the intermediate level and ending at a level appropriate for the graduate student, this is a core text for upper level undergraduate and taught graduate microeconomics courses.

    No matter how much cash or experience you currently have, this book will take you on a journey through buying your first multifamily investment property and give you a framework for turning that into long-term financial freedom. Millionaires are created every day—isn’t it time you joined the ranks? It won’t happen overnight and it won’t always be easy, but The Multifamily Millionaire series will make sure it happens sooner than you ever thought possible! Inside this book, you’ll discover:• How to create a million-dollar net worth in five years using the stack method • The seven different types of small multifamily real estate and which make the best rental properties• How to quickly and accurately analyze your investment, whether its two units or twenty units • Three creative no and low money down strategies that work in any market• A game-changing algorithm for estimating your ongoing repair and reserve expenses • The powerful Multifamily Millionaire Model that illustrates how a million dollars can be created from one single deal• Six off-market acquisition strategies to help you land incredible deals, even in a competitive market• How the BRRRR strategy can help you supercharge your small multifamily portfolio• Detailed instructions for managing your growing portfolio (hint: find five-star tenants!)• And so much more

    But building a machine learning system requires that you make practical decisions: Should you collect more training data? Should you use end-to-end deep learning? How do you deal with your training set not matching your test set? and many more. Historically, the only way to learn how to make these "strategy" decisions has been a multi-year apprenticeship in a graduate program or company. This is a book to help you quickly gain this skill, so that you can become better at building AI systems.

    Each chapter contains integrated worked examples and chapter tests. This edition has the ancillary ATLAST computer exercise guide and new MATLAB and Maple guides.

    This is the secret that lets tiny quantitative edges create hedge fund billionaires, and defines the powerful modern global derivatives economy. The same practical techniques are still used today by risk-takers in finance as well as many other fields. "Red-Blooded Risk" examines this approach and offers valuable advice for the calculated risk-takers who need precise quantitative guidance that will help separate them from the rest of the pack. While most commentators say that the last financial crisis proved it's time to follow risk-minimizing techniques, they're wrong. The only way to succeed at anything is to manage true risk, which includes the chance of loss. "Red-Blooded Risk" presents specific, actionable strategies that will allow you to be a practical risk-taker in even the most dynamic markets.Contains a secret history of Wall Street, the parts all the other books leave outIncludes an intellectually rigorous narrative addressing what it takes to really make it in any risky activity, on or off Wall StreetAddresses essential issues ranging from the way you think about chance to economics, politics, finance, and lifeWritten by Aaron Brown, one of the most calculated and successful risk takers in the world of finance, who was an active participant in the creation of modern risk management and had a front-row seat to the last meltdownWritten in an engaging but rigorous style, with no equationsContains illustrations and graphic narrative by renowned manga artist Eric KimThere are people who disapprove of every risk before the fact, but never stop anyone from doing anything dangerous because they want to take credit for any success. The recent financial crisis has swelled their ranks, but in learning how to break free of these people, you'll discover how taking on the right risk can open the door to the most profitable opportunities.

    One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory—the basis of computers and the Internet—to the problem of making as much money as possible, as fast as possible.Shannon and MIT mathematician Edward O. Thorp took the "Kelly formula" to Las Vegas. It worked. They realized that there was even more money to be made in the stock market. Thorp used the Kelly system with his phenomenonally successful hedge fund, Princeton-Newport Partners. Shannon became a successful investor, too, topping even Warren Buffett's rate of return. Fortune's Formula traces how the Kelly formula sparked controversy even as it made fortunes at racetracks, casinos, and trading desks. It reveals the dark side of this alluring scheme, which is founded on exploiting an insider's edge.Shannon believed it was possible for a smart investor to beat the market—and Fortune's Formula will convince you that he was right.

    You need to win and keep winning. To get there you need great connections and insider advice.But it's not as simple as tracking down the elite few - the wealth hackers of the world - and getting them to spill their secrets. . . Or is it?©2019 Dr. Greg Reid (P)2019 Brilliance Publishing, Inc., all rights reserved.

    Intermediate Accounting integrates this new information throughout the chapters so they'll learn how to apply the new global accounting standards. Global examples are presented to clearly show how the information is utilised in the field. The use of various currencies is also explored, which is critical for accountants to know in today's global businesses environment.

    This and other developments will prompt utilities to undergo the largest changes in their history. Smart Power examines the many facets of this unprecedented transformation. This enlightening book begins with a look back on the deregulatory efforts of the 1990s and their gradual replacement by concerns over climate change, promoting new technologies, and developing stable prices and supplies. In thorough but non-technical terms it explains the revolutionary changes that the Smart Grid is bringing to utility operations. It also examines the options for low-carbon emissions along with the real-world challenges the industry and its regulators must face as the industry retools and finances its new sources and systems. Throughout the book, Peter Fox-Penner provides insights into the policy choices and regulatory reform needed to face these challenges. He not only weighs the costs and benefits of every option, but presents interviews with informed experts, including economists, utility CEOs, and engineers. He gives a brief history of the development of the current utility business model and examines possible new business models that are focused on energy efficiency.Smart Power explains every aspect of the coming energy revolution for utilities in lively prose that will captivate even the most techno-phobic readers.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site

    In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

    And that evolution has huge implications for everything we see, buy and do online. Rejecting the zero-sum, vending-machine model of ecommerce practiced by other leading internet retailers, who view the Internet purely as a facilitator of speed and profit, Hiroshi Mikitani argues for an alternate model that benefits merchants, consumers, and communities alike by empowering players at every step in the process. He envisions retail "ecosystems," where small and mid-sized brick-and-mortar businesses around the world partner with online marketplaces to maximize their customer bases and service capabilities, and he shows why emphasizing collaboration over competition, customization over top-down control, and long-term growth over short-term revenue is by far the best use of the Internet's power, and will define the 3.0 era.Rakuten has already pioneered this new model, and Marketplace 3.0 offers colorful examples of its success in Japan and around the world. Mikitani reveals how the company enforces a global mindset (including the requirement that all its employees speak English, even in Tokyo); how it incorporates new acquisitions rather than seeking to completely remake or sell them for a quick profit; and how it competes with other retailers on speed and quality, without sacrificing the public good. Marketplace 3.0 is an exciting new vision for global commerce, from a company that's challenging all the accepted wisdom.

    The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students' text with increased emphasis on interpretation of data and results.