The science of complexity studies how single elements, such as a species or a stock, spontaneously organize into complicated structures like ecosystems and economies; stars become galaxies, and snowflakes avalanches almost as if these systems were obeying a hidden yearning for order. Drawing from diverse fields, scientific luminaries such as Nobel Laureates Murray Gell-Mann and Kenneth Arrow are studying complexity at a think tank called The Santa Fe Institute. The revolutionary new discoveries researchers have made there could change the face of every science from biology to cosmology to economics. M. Mitchell Waldrop's groundbreaking bestseller takes readers into the hearts and minds of these scientists to tell the story behind this scientific revolution as it unfolds.

    

    Why? BECAUSE THAT'S HOW WALL STREET WANTS IT"[T]he always irreverent author of the Reformed Broker blog has written an excellent narrative that shares all of your broker's dirty little secrets. Much like Michael Lewis' Liar's Poker captured the essence of 1980s institutional Wall Street, Brown's Backstage Wall Street recreates the boiler room retail brokerage culture of the 1990s and early 2000s in vivid color." --FORBES "With a smirk, a lashing wit, and an appropriate irreverence, Joshua Brown gives voice to what all investment professionals are--or should be--secretly thinking."--MICHAEL SANTOLI, Barron's columnist"The pages of this book are filled with colorful expos�s of misconduct in the way Wall Street presents and sells itself (and its financial products offerings!). . . . Run don't walk to read Brown's chronicles of deception [perpetrated by] those wonderful folks on Wall Street, who nearly bankrupted the world's fi nancial system a few short years ago."--DOUGLAS A. KASS, Seabreeze Partners Management, Inc."Everything you've ever read about Wall Street is a total lie. Everyone is lying to you every day. Until you read this book."--JAMES ALTUCHER, Formula Capital and author of I Was Blind but Now I See"Joshua wants Wall Street to be awesome. You can feel it every day on his amazing blog and in this great book. He is happy to shout when Wall Street drives him crazy. I guarantee you will enjoy this book that describes the action behind the business of Wall Street and his own experiences along the way."--HOWARD LINDZON, Lindzon Capital and founder of StockTwitsJoshua Brown may be the funniest writer on finance today, but Backstage Wall Street could make you cry more than laugh. The buffoons, manipulators, and incompetents Brown parades before us are the stewards of our retirement accounts....What's important is that investors understand the choices before them. Backstage Wall Street goes a long way to taking us backstage, while making us laugh in the process.--BARRON'SAbout the Book: Wall Street is very good at one thing: convincing you to act against your own interests. And there's no one out there better equipped with the knowledge and moxie to explain how it all works than Josh Brown. A man The New York Times referred to as "the Merchant of Snark" and Barron's called "pot-stirring and provocative," Brown worked for 10 years in the industry, a time during which he learned some hard truths about how clients are routinely treated--and how their money is sent on a one-way trip to Wall Street's coffers.Backstage Wall Street reveals the inner workings of the world's biggest money machine and explains how a relatively small confederation of brilliant, sometimes ill-intentioned people fuel it, operate it, and repair it when necessary--none of which is for the good of the average investor.Offering a look that only a long-term insider could provide (and that only a "reformed" insider would want to provide), Brown describes:THE PEOPLE--Why retail brokers always profit--even if you don't THE PRODUCTS--How funds, ETFs, and other products are invented as failsafe profit generators--for the inventors alone THE PITCH--The marketing schemes designed for one thing and one thing only: to separate you from your moneyIt's that bad . . . but there's a light at the end of the tunnel. Brown gives you the knowledge you need to make the right decisions at the right time.Backstage Wall Street is about seeing reality for what it is and adjusting your actions accordingly. It's about learning who and what to steer clear of at all times. And it's about setting the stage for a bright financial future--your own way.

    Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

    Reflecting the demands for entry-level accountants, the focus of this book is on fostering critical thinking skills, reducing emphasis on memorisation and encouraging more analysis and interpretation by requiring use of technology tools, spreadsheets and databases.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    He presents literate, challenging, and often funny examples of such anomalies as why the winners at auctions are often the real losers--they pay too much and suffer the "winner's curse"-- why gamblers bet on long shots at the end of a losing day, why shoppers will save on one appliance only to pass up the identical savings on another, and why sports fans who wouldn't pay more than $200 for a Super Bowl ticket wouldn't sell one they own for less than $400. He also demonstrates that markets do not always operate with the traplike efficiency we impute to them.

    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

    B. Heron Foundation: The Alternative, is not only important reading, it's imperative. Miller, a trained engineer, the one-time manager of a top social service organization and most importantly, the son of a remarkable single mother, has both lived and observed the failings embodied in our attitudes toward the poor and, as a result, the flaws in our systems meant to help people in poverty. He merges heart and soul with system thinking to yield a prescription featuring the real math, trust relationships and courage that can change the "us and them," to "upward together" and put American families in the driver's seat to build their futures.

    Now, let an expert professor lead you in a panoramic exploration of our monetary and financial systems, their inner workings, and their crucial role and presence in your world. As a guiding theme of these 36 content-rich lectures, you observe the ways in which economies require efficient and evolving financial institutions and markets to fulfill their potential.

    "Using Econometrics: A Practical Guide "provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners. New problem sets and added support make "Using Econometrics" modern and easier to use.

    Macroeconomics1. Maximizing UtilityDecreasing Marginal Utility | Opportunity Costs2. Evaluating Production PossibilitiesProduction Possibilities Frontiers | Absolute and Comparative Advantage3. DemandDeterminants of Demand | Elasticity of Demand | Change in Demand vs. Change in Quantity Demanded4. SupplyDeterminants of Supply | Elasticity of Supply | Change in Supply vs. Change in Quantity Supplied5. Market EquilibriumHow Market Equilibrium is Reached | The Effect of Changes in Supply and Demand6. Government InterventionPrice Ceilings and Price Floors | Taxes and Subsidies7. Costs of ProductionMarginal Cost of Production | Fixed vs. Variable Costs | Short Run vs. Long Run | Sunk Costs | Economic Costs vs. Accounting Costs8. Perfect CompetitionFirms Are Price Takers | Making Decisions at the Margin | Consumer and Producer Surplus9. MonopolyMarket Power | Deadweight Loss with a Monopoly | Monopolies and Government10. OligopolyCollusion | Cheating the Cartel | Government Intervention in Oligopolies11. Monopolistic CompetitionCompeting via Product Differentiation | Loss of Surplus with Monopolistic CompetitionConclusion: The Insights and Limitations of Economics

    Drawing on his experience as a professional trader, author Sheldon Natenberg examines both the theory and reality of option trading. He presents the foundations of option theory explaining how this theory can be used to identify and exploit trading opportunities. "Option Volatility & Pricing" teaches you to use a wide variety of trading strategies and shows you how to select the strategy that best fits your view of market conditions and individual risk tolerance.New sections include: Expanded coverage of stock option Strategies for stock index futures and options A broader, more in-depth discussion volatility Analysis of volatility skews Intermarket spreading with options

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    Each chapter of The ETF Book offers concise coverage of various issues and is filled with in-depth insights on different types of ETFs as well as practical advice on how to select and manage them.