From creating brand value to fine-tuning customer service, the folks running cartels have been attentive students of the strategy and tactics used by corporations such as Walmart, McDonald's, and Coca-Cola.     And what can government learn to combat this scourge? By analyzing the cartels as companies, law enforcers might better understand how they work—and stop throwing away 100 billion a year in a futile effort to win the “war” against this global, highly organized business.     Your intrepid guide to the most exotic and brutal industry on earth is Tom Wainwright. Picking his way through Andean cocaine fields, Central American prisons, Colorado pot shops, and the online drug dens of the Dark Web, Wainwright provides a fresh, innovative look into the drug trade and its 250 million customers.     The cast of characters includes “Bin Laden,” the Bolivian coca guide; “Old Lin,” the Salvadoran gang leader; “Starboy,” the millionaire New Zealand pill maker; and a cozy Mexican grandmother who cooks blueberry pancakes while plotting murder. Along with presidents, cops, and teenage hitmen, they explain such matters as the business purpose for head-to-toe tattoos, how gangs decide whether to compete or collude, and why cartels care a surprising amount about corporate social responsibility.More than just an investigation of how drug cartels do business, Narconomics is also a blueprint for how to defeat them.

    When we make mistakes, we must calm the cognitive dissonance that jars our feelings of self-worth. And so we create fictions that absolve us of responsibility, restoring our belief that we are smart, moral, and right -- a belief that often keeps us on a course that is dumb, immoral, and wrong. Backed by years of research and delivered in lively, energetic prose, Mistakes Were Made (But Not by Me) offers a fascinating explanation of self-deception -- how it works, the harm it can cause, and how we can overcome it.

    Any ambitious proposal, however, inevitably runs into the buzz saw of how to find the money to pay for it, rooted in myths about deficits that are hobbling us as a country.Kelton busts through the myths that prevent us from taking action: that the federal government should budget like a household, that deficits will harm the next generation, crowd out private investment, and undermine long-term growth, and that entitlements are propelling us toward a grave fiscal crisis.MMT, as Kelton shows, shifts the terrain from narrow budgetary questions to one of broader economic and social benefits. With its important new ways of understanding money, taxes, and the critical role of deficit spending, MMT redefines how to responsibly use our resources so that we can maximize our potential as a society. MMT gives us the power to imagine a new politics and a new economy and move from a narrative of scarcity to one of opportunity.

    Each blockbuster has a secret history--of power, influence, dark broadcasters, and passionate cults that turn some new products into cultural phenomena. Even the most brilliant ideas wither in obscurity if they fail to connect with the right network, and the consumers that matter most aren't the early adopters, but rather their friends, followers, and imitators -- the audience of your audience.In his groundbreaking investigation, Atlantic senior editor Derek Thompson uncovers the hidden psychology of why we like what we like and reveals the economics of cultural markets that invisibly shape our lives. Shattering the sentimental myths of hit-making that dominate pop culture and business, Thompson shows quality is insufficient for success, nobody has "good taste," and some of the most popular products in history were one bad break away from utter failure. It may be a new world, but there are some enduring truths to what audiences and consumers want. People love a familiar surprise: a product that is bold, yet sneakily recognizable.Every business, every artist, every person looking to promote themselves and their work wants to know what makes some works so successful while others disappear. Hit Makers is a magical mystery tour through the last century of pop culture blockbusters and the most valuable currency of the twenty-first century--people's attention.From the dawn of impressionist art to the future of Facebook, from small Etsy designers to the origin of Star Wars, Derek Thompson leaves no pet rock unturned to tell the fascinating story of how culture happens and why things become popular.In Hit Makers, Derek Thompson investigates: - The secret link between ESPN's sticky programming and the The Weeknd's catchy choruses - Why Facebook is the world's most important modern newspaper - How advertising critics predicted Donald Trump - The 5th grader who accidentally launched "Rock Around the Clock," the biggest hit in rock and roll history - How Barack Obama and his speechwriters think of themselves as songwriters - How Disney conquered the world--but the future of hits belongs to savvy amateurs and individuals - The French collector who accidentally created the Impressionist canon - Quantitative evidence that the biggest music hits aren't always the best - Why almost all Hollywood blockbusters are sequels, reboots, and adaptations - Why one year--1991--is responsible for the way pop music sounds today - Why another year --1932--created the business model of film - How data scientists proved that "going viral" is a myth - How 19th century immigration patterns explain the most heard song in the Western Hemisphere

    Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.