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McNamee Zucked - Waking Up to the Facebook Cata...
14,29 € *
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Erscheinungsdatum: 04.02.2020, Einband: Paperback, Titelzusatz: Waking Up to the Facebook Catastrophe, Revised and Updated, Übersetzungstitel: Die Facebook-Gefahr, Autor: McNamee, Roger, Verlag: Penguin Books US, Sprache: Englisch, Produktform: Kartoniert, Umfang: 400 S., Seiten: 400, Format: 2.2 x 21.4 x 13.9 cm, Gewicht: 317 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 22.10.2020
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The Art of Mingling, Third Edition: Fun and Pro...
9,95 € *
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Fully revised and updated - with Jeanne Martinet's trademark wit and practicality, The Art of Mingling hands you the keys to feeling at ease in any social situation. Does the idea of going to a large party make your mouth go dry? Are you more comfortable on Facebook than face to face? You're not alone: 90 percent of the world suffers from minglephobia. Jeanne Martinet has developed a cure - a sure-fire system for overcoming fears and having a great time at any type of business or social gathering. Filled with simple techniques, tricks, tips, lines, and maneuvers, The Art of Mingling teaches you: Basic survival strategies for the Truly Terrified Opening lines and gambits that really work Tools and rules for keeping the conversation going in the right direction The all-important etiquette of escape Faux pas recovery techniques How to avoid the dumb use of smartphones The secret to being a good listener The right way to follow up online And much, much more!  1. Language: English. Narrator: Jeanne Martinet. Audio sample: http://samples.audible.de/bk/aren/002121/bk_aren_002121_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 22.10.2020
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Predictive Analytics: The Power to Predict Who ...
9,95 € *
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Mesmerizing & fascinating... (The Seattle Post-Intelligencer) "The Freakonomics of big data." (Stein Kretsinger, founding executive of Advertising.com) Award-winning | Used by over 30 universities | Translated into nine languages An introduction for everyone. Rather than a "how to" for hands-on techies, this book - now in its revised and updated edition - serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques. In this rich, fascinating, and surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics works and how it affects everyone every day. Trendsetters like Chase, Facebook, Google, Hillary for America, HP, IBM, Match.com, Netflix, the NSA, Pfizer, Target, and Uber are seizing upon the power of big data to predict human behavior - including yours. Why? Predictive analytics reinvents industries and runs the world. Listen to this book to discover how it combats risk, boosts sales, fortifies health care, optimizes social networks, toughens crime fighting, and wins elections. 1. Language: English. Narrator: Nicolas D. Frantela. Audio sample: http://samples.audible.de/bk/acx0/050597/bk_acx0_050597_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 22.10.2020
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Algorithms of the Intelligent Web , Hörbuch, Di...
9,95 € *
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Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web. You'll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning.  Valuable insights are buried in the tracks web users leave as they navigate pages and applications. You can uncover them by using intelligent algorithms like the ones that have earned Facebook, Google, and Twitter a place among the giants of web data pattern extraction.  This audiobook includes:An introduction to machine learningExtracting structure from dataDeep learning and neural networksHow recommendation engines work  Knowledge of Python is assumed for the listener. Douglas McIlwraith is a machine learning expert and data science practitioner in the field of Online advertising. Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. Dmitry Babenko designs applications for banking, insurance, and supply-chain management.   Table of Contents:1. Building applications for the intelligent web 2. Extracting structure from data: clustering and transforming your data 3. Recommending relevant content 4. Classification: placing things where they belong 5. Case study: click prediction for Online advertising 6. Deep learning and neural networks 7. Making the right choice 8. The future of the intelligent web li 1. Language: English. Narrator: Mark Thomas. Audio sample: http://samples.audible.de/bk/acx0/130626/bk_acx0_130626_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 22.10.2020
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Me 2.0, Revised and Updated Edition: 4 Steps to...
9,95 € *
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Me 2.0 shows job seekers and established professionals alike how to leverage the power of online media for personal empowerment and career success.There is no job security anymore, which means that the way we manage our careers has forever changed. Now everyone in the world is your competition, and the single greatest differentiator you have is your personal brand. With social media tools, blogs, and mobile applications, there are endless opportunities to become known and connect with other people.In Me 2.0 personal branding expert Dan Schawbel gives you all the tools you need for building a powerful personal brand that will give you a competitive advantage in the marketplace, including: A four-step process for discovering, creating, communicating, and maintaining your personal brand How to use all the latest social media tools, including video, blogs, and social networks for job search and career development The secrets to networking effectively - both online and offline Proven branding advice from industry experts and insidersWhether you're looking for your first big job, want to climb the corporate ladder, or are eager to jump-start your own business venture, Me 2.0 will help you achieve lasting success!What's new in the revised edition of Me 2.0: New case studies from people of all generations on how they've used social media to become well-known brands A new chapter on how to use the top social networks, including Facebook, LinkedIn, and Twitter, for job searching, with real success stories New insight on how to turn your passion into a business through the personal branding process New tools you can use to network professionally and grow your presence, including Google Buzz, mobile branding, and location-based social networking New research, examples, and more resources that will support your online brand camp 1. Language: English. Narrator: Mike Chamberlain. Audio sample: http://samples.audible.de/bk/blak/006397/bk_blak_006397_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 22.10.2020
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Selfish Revised and Expanded Edition
17,99 € *
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The newly updated book dedicated to the selfie photography of Kim Kardashian, featuring sixty-four new pages of the latest snaps of Kim's children, her immediate family, and some of the world's most prominent figures. From her early beginnings as a wardrobe stylist, Kim Kardashian has catapulted herself into becoming one of the most recognizable celebrities in Hollywood. Hailed by many (including Givenchy designer Riccardo Tisci) as the modernday Marilyn Monroe, Kim has become a true American icon. With her curvaceous style, successful reality TV show Keeping Up with the Kardashians, DASH clothing store, makeup and perfume lines, and workout DVDs, she has acquired a massive fan following in the multi-millions. Through Instagram, Twitter, and Facebook, Kim connects with her legions of fans on a daily basis, sharing details of her life with her selfie photography. Widely regarded as a trailblazer of the selfie movement-a self-portrait for the digital age-Kim has mastered the art of taking flattering and highly personal photos of herself. This updated volume presents 64 new pages of some of Kim's favorite selfies-from her favorite throwback images and current ultra-sexy glam shots to newly snapped selfies with Serena Williams, Hillary Clinton, and President Barack Obama-Selfish provides readers with a behind-the-scenes look into this larger-than-life star. This revised and expanded edition features previously unpublished images of her children and immediate family.

Anbieter: buecher
Stand: 22.10.2020
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Selfish Revised and Expanded Edition
17,99 € *
ggf. zzgl. Versand

The newly updated book dedicated to the selfie photography of Kim Kardashian, featuring sixty-four new pages of the latest snaps of Kim's children, her immediate family, and some of the world's most prominent figures. From her early beginnings as a wardrobe stylist, Kim Kardashian has catapulted herself into becoming one of the most recognizable celebrities in Hollywood. Hailed by many (including Givenchy designer Riccardo Tisci) as the modernday Marilyn Monroe, Kim has become a true American icon. With her curvaceous style, successful reality TV show Keeping Up with the Kardashians, DASH clothing store, makeup and perfume lines, and workout DVDs, she has acquired a massive fan following in the multi-millions. Through Instagram, Twitter, and Facebook, Kim connects with her legions of fans on a daily basis, sharing details of her life with her selfie photography. Widely regarded as a trailblazer of the selfie movement-a self-portrait for the digital age-Kim has mastered the art of taking flattering and highly personal photos of herself. This updated volume presents 64 new pages of some of Kim's favorite selfies-from her favorite throwback images and current ultra-sexy glam shots to newly snapped selfies with Serena Williams, Hillary Clinton, and President Barack Obama-Selfish provides readers with a behind-the-scenes look into this larger-than-life star. This revised and expanded edition features previously unpublished images of her children and immediate family.

Anbieter: buecher
Stand: 22.10.2020
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Predictive Analytics
17,99 € *
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"Mesmerizing & fascinating..." --The Seattle Post-Intelligencer "The Freakonomics of big data." --Stein Kretsinger, founding executive of Advertising.com Award-winning Used by over 30 universities Translated into 9 languages An introduction for everyone. In this rich, fascinating -- surprisingly accessible -- introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction -- now in its Revised and Updated edition -- former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death -- including one health insurance company. How U.S. Bank and Obama for America calculated -- and Hillary for America 2016 plans to calculate -- the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it -- or consumed by it -- get a handle on the power of Predictive Analytics.

Anbieter: buecher
Stand: 22.10.2020
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Predictive Analytics
17,99 € *
ggf. zzgl. Versand

"Mesmerizing & fascinating..." --The Seattle Post-Intelligencer "The Freakonomics of big data." --Stein Kretsinger, founding executive of Advertising.com Award-winning Used by over 30 universities Translated into 9 languages An introduction for everyone. In this rich, fascinating -- surprisingly accessible -- introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction -- now in its Revised and Updated edition -- former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death -- including one health insurance company. How U.S. Bank and Obama for America calculated -- and Hillary for America 2016 plans to calculate -- the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it -- or consumed by it -- get a handle on the power of Predictive Analytics.

Anbieter: buecher
Stand: 22.10.2020
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