Read and Download eBook Full
Author: Peter H. Diamandis
Publisher: Simon and Schuster
Published: 2016-02-23
Total Pages: 336
ISBN-13: 1476709580
DOWNLOAD EBOOKBold is a radical how-to guide for using exponential technologies, moonshot thinking, and crowd-powered tools to create extraordinary wealth while also positively impacting the lives of billions. A follow-up to the authors' Abundance (2012).
Author: David Forsyth
Publisher: Springer
Published: 2019-07-12
Total Pages: 496
ISBN-13: 3030181146
DOWNLOAD EBOOKMachine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:• classification using standard machinery (naive bayes; nearest neighbor; SVM)• clustering and vector quantization (largely as in PSCS)• PCA (largely as in PSCS)• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)• linear regression (largely as in PSCS)• generalized linear models including logistic regression• model selection with Lasso, elasticnet• robustness and m-estimators• Markov chains and HMM’s (largely as in PSCS)• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy• simple graphical models (in the variational inference section)• classification with neural networks, with a particular emphasis onimage classification• autoencoding with neural networks• structure learning
Author: Harvard Business Review
Publisher: HBR Insights
Published: 2019
Total Pages: 160
ISBN-13: 9781633697898
DOWNLOAD EBOOKCompanies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Author: Brian Christian
Publisher: W. W. Norton & Company
Published: 2020-10-06
Total Pages: 459
ISBN-13: 039363583X
DOWNLOAD EBOOKA jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Author: Raj Venkatesan
Publisher: Stanford University Press
Published: 2021-05-18
Total Pages: 295
ISBN-13: 1503628043
DOWNLOAD EBOOKThis book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.
Author: Simon Colman
Publisher: Laney Media
Published:
Total Pages: 116
ISBN-13:
DOWNLOAD EBOOKAre you tired of living the 9-5? Do you dream of breaking free from the daily grind and becoming your own boss, with the power to shape your own destiny? If you're eager to secure your financial future on your terms, 'Modern Money Maker' by Simon Colman is your guide to transforming your life and taking control of your destiny. This revealing guide takes you on a voyage from idea to income, offering hands-on strategies for identifying your niche, crafting compelling content, and driving monetization. With over a year of in-depth exploration and insider knowledge, Simon Colman empowers you to harness the potential of e-commerce and create a lifestyle that aligns with your passions. Inside this book, you'll discover: - How to identify your ideal niche and audience, ensuring your business is built on your genuine interests. - Proven content creation strategies that engage and captivate your online community. - Effective monetization techniques, from affiliate marketing to launching your products and more. - Practical steps and strategies to optimize your time, resources, and energy for maximum entrepreneurial success. 'Modern Money Maker' is the ultimate guide for aspiring entrepreneurs and content creators, offering the keys to financial independence and the satisfaction of doing what you love. If you're ready to take the leap into the world of online business, join Simon Colman on a journey that will revolutionize your financial future. Turn your passion into profit today. 'Modern Money Maker' shows you how.
Author: DIZZY DAVIDSON
Publisher: Pure Water Books
Published: 2024-08-17
Total Pages: 112
ISBN-13:
DOWNLOAD EBOOKIf you are struggling to fully understand AI and how to make money with it. You’re not alone. Many people find AI complex and intimidating. But what if I told you that you can turn this challenge into a lucrative opportunity? “AI Goldmine: A Beginner’s Guide to Making Money with Artificial Intelligence” is your ultimate roadmap to harnessing the power of AI for financial success. This book breaks down the complexities of AI into simple, actionable steps that anyone can follow. Benefits of Reading This Book: Unlock the potential of AI: Learn how to use AI tools to create content, enhance images, generate voice-overs, and more. Diverse income streams: Discover multiple ways to monetize AI, from affiliate marketing to print-on-demand products. Step-by-step guidance: Follow detailed instructions and practical tips tailored for beginners. Real-world examples: Gain insights from success stories and case studies. This book is a comprehensive guide for anyone looking to dive into the world of AI and start making money. Whether you’re a complete novice or have some experience, “AI Goldmine” provides the knowledge and tools you need to succeed. Why This Book is a Must-Read: Accessible and easy to understand: Written in a clear, engaging style that makes complex concepts simple. Practical and actionable: Packed with tips, strategies, and real-world examples to help you apply what you learn. Comprehensive coverage: Covers a wide range of AI applications and income-generating opportunities. Bullet Points: Learn to create and sell AI-generated content Discover the power of AI in image manipulation Generate income through AI voice-over services Master affiliate marketing with AI tools Design and sell custom products using AI Create and sell AI-generated stock photos and music Manage social media with AI tools Develop and sell online courses on AI Ready to transform your understanding of AI into a profitable venture? Get your copy of “AI Goldmine: A Beginner’s Guide to Making Money with Artificial Intelligence” today and start your journey towards financial success with AI!
Author: Mustafa Mun
Publisher: Notion Press
Published: 2021-01-11
Total Pages: 134
ISBN-13: 1636695639
DOWNLOAD EBOOKMindful Wealth aims for a shift in our thinking. It talks about the subject of how we should perceive money, how we need to talk about it to attract more of it in our lives and how to live with gratitude so we are blessed with more than what we already have.
Author: Marco Iansiti
Publisher: Harvard Business Press
Published: 2020-01-07
Total Pages: 181
ISBN-13: 1633697630
DOWNLOAD EBOOK"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Author: Lalit Garg
Publisher: Springer Nature
Published: 2021-10-29
Total Pages: 157
ISBN-13: 9811662657
DOWNLOAD EBOOKThis book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
