Author: Dan Norris Publisher: ISBN: 9780995404427 Category : Internet marketing Languages : en Pages : 224
Book Description
Content Machine outlines a strategy for using content marketing to build a 7-figure business with zero advertising. Whether you are a blogger, content marketer, entrepreneur or marketing manager, Content Machine will help you see the return you deserve from your content marketing efforts.
Author: Michael Bhaskar Publisher: Anthem Press ISBN: 0857281216 Category : Computers Languages : en Pages : 226
Book Description
This ground-breaking study, the first of its kind, outlines a theory of publishing that allows publishing houses to focus on their core competencies in times of crisis. Tracing the history of publishing from the press works of fifteenth-century Germany to twenty-first-century Silicon Valley, via Venice, Beijing, Paris and London, and fusing media theory and business experience, ‘The Content Machine’ offers a new understanding of content, publishing and technology, and defiantly answers those who contend that publishing has no future in a digital age.
Author: Vanessa Lau Publisher: Israel Now ISBN: Category : Business & Economics Languages : en Pages : 10
Book Description
Like many content creators today, I’ve faced the same problems that plague any industry that’s surging in demand. Losing sleep on projects, taking on too many clients, burning out, you know the drill. There’s a price for success in the content creation industry if you’re doing it all on your own. My name is Vanessa Lau and I’ve spent the past four years learning, tweaking, and refining the perfect system of how you can deliver exceptional thought leadership content sustainability and consistently. This is what I call the content machine.
Author: Yihong Gong Publisher: Springer Science & Business Media ISBN: 0387699422 Category : Computers Languages : en Pages : 282
Book Description
This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).
Author: Laura Busche Publisher: "O'Reilly Media, Inc." ISBN: 1491963719 Category : Business & Economics Languages : en Pages : 306
Book Description
Your new product is ready to launch and you’re itching to tell potential customers all about it. But how do you make your message stand out above all the noise and marketing clutter? Take the guesswork out of content management with this hands-on guide. You’ll learn how to produce and manage powerful content pieces that speak directly to customers and compel them to respond. Author Laura Busche walks you through content strategies and tactics drawn from business, design, and psychology insights. Packed with examples and exercises, this book teaches you how to tell your story with engaging copy, potent images, and striking design—all carefully orchestrated through well-oiled production management. Solopreneurs, startups, marketing managers, and execs will learn 10 Essential Steps to Content Success, with deep dives into: Content strategy: understand your audience, choose and prioritize channels, and find your brand’s core themes, voice, and tone Content creation: craft an engaging experience with content formats and copywriting formulas and templates Content management: organize, delegate, and supervise tasks; optimize the content production process to reuse successful patterns
Author: Brooke Gladstone Publisher: W. W. Norton & Company ISBN: 0393077799 Category : Comics & Graphic Novels Languages : en Pages : 193
Book Description
The cohost of NPR's "On the Media" narrates, in cartoon form, two millennia of history of the influence of the media on the populace, from newspapers in Caesar's Rome to the penny press of the American Revolution to today.
Author: Ian McEwan Publisher: Anchor ISBN: 0385545126 Category : Fiction Languages : en Pages : 291
Book Description
From the Booker Prize winner and bestselling author of Atonement—”a sharply intelligent novel of ideas” (The New York Times) that asks whether a machine can understand the human heart, or whether we are the ones who lack understanding. Set in an uncanny alternative 1982 London—where Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence—Machines Like Me powerfully portrays two lovers who will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a terrible secret. When Charlie comes into money, he buys Adam, one of the first generation of synthetic humans. With Miranda's assistance, he codesigns Adam's personality. The near-perfect human that emerges is beautiful, strong, and smart—and a love triangle soon forms. Ian McEwan's subversive, gripping novel poses fundamental questions: What makes us human—our outward deeds or our inner lives? Could a machine understand the human heart? This provocative and thrilling tale warns against the power to invent things beyond our control. Don’t miss Ian McEwan’s new novel, Lessons, coming in September!
Author: Sinan Aral Publisher: Currency ISBN: 0525574522 Category : Business & Economics Languages : en Pages : 417
Book Description
A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.
Author: Matt Harrison Publisher: "O'Reilly Media, Inc." ISBN: 149204749X Category : Computers Languages : en Pages : 320
Book Description
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
Author: Richard Seymour Publisher: Verso Books ISBN: 1788739310 Category : Political Science Languages : en Pages : 256
Book Description
A brilliant probe into the political and psychological effects of our changing relationship with social media Former social media executives tell us that the system is an addiction-machine. We are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. The Twittering Machine is an unflinching view into the calamities of digital life: the circus of online trolling, flourishing alt-right subcultures, pervasive corporate surveillance, and the virtual data mines of Facebook and Google where we spend considerable portions of our free time. In this polemical tour de force, Richard Seymour shows how the digital world is changing the ways we speak, write, and think. Through journalism, psychoanalytic reflection and insights from users, developers, security experts and others, Seymour probes the human side of the machine, asking what we’re getting out of it, and what we’re getting into. Social media held out the promise that we could make our own history–to what extent did we choose the nightmare that it has become?
Author: Dan Norris
Author: Michael Bhaskar
Author: Vanessa Lau
Author: Yihong Gong
Author: Laura Busche
Author: Brooke Gladstone
Author: Ian McEwan
Author: Sinan Aral
Author: Matt Harrison
Author: Richard Seymour