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Penning the Future: Mastering Writing with GenAI

Penning the Future: Mastering Writing with GenAI
Author: Wesley Cisco
Publisher: Qasas.Pub
Total Pages: 46
Release: 2024-07-18
Genre: Business & Economics
ISBN:
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Unlock the transformative power of Generative AI in your writing with "Penning the Future: Mastering Writing with GenAI." This essential guide demystifies AI technology, offering practical advice, real-world examples, and interactive exercises to enhance your writing process. Discover how AI can aid in brainstorming, drafting, and editing, while addressing ethical considerations and authorship questions. Whether you're a seasoned author or a curious beginner, this book equips you with the knowledge and tools to innovate and excel in the digital age of writing. Step into the future of creativity with AI as your co-author.

Machine Learning

Machine Learning
Author: Kevin P. Murphy
Publisher: MIT Press
Total Pages: 1102
Release: 2012-08-24
Genre: Computers
ISBN: 0262018020
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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Automatic Cyberbullying Detection: Emerging Research and Opportunities

Automatic Cyberbullying Detection: Emerging Research and Opportunities
Author: Ptaszynski, Michal E.
Publisher: IGI Global
Total Pages: 180
Release: 2018-11-02
Genre: Family & Relationships
ISBN: 1522552502
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Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet hate, harassment, cyberstalking, cyberbullying—these terms, which were almost unknown 10 years ago—are in the everyday lexicon of all internet users. Unfortunately, it is becoming increasingly difficult to undertake continuous surveillance of websites as new ones are appearing daily. Methods for automatic detection and mitigation for online bullying have become necessary in order to protect the online user experience. Automatic Cyberbullying Detection: Emerging Research and Opportunities provides innovative insights into online bullying and methods of early identification, mitigation, and prevention of harassing speech and activity. Explanations and reasoning for each of these applied methods are provided as well as their pros and cons when applied to the language of online bullying. Also included are some generalizations of cyberbullying as a phenomenon and how to approach the problem from a practical technology-backed point of view. The content within this publication represents the work of deep learning, language modeling, and web mining. It is designed for academicians, social media moderators, IT consultants, programmers, education administrators, researchers, and professionals and covers topics centered on identification methods and mitigation of internet hate and online harassment.

The First 100 Days of Your Book

The First 100 Days of Your Book
Author: Joel Stafford
Publisher:
Total Pages: 101
Release: 2019-09-04
Genre:
ISBN: 9781690959151
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Today having an excellent book with an great idea isn't enough for success. Over 2,000,000 books published every year, don't expect the crowd to pick up your book and say "it is a masterwork" even if it is. I swear you won't find any marketing bullshit in this book: No "social media is the king" crap No "just order a gold marketing package" and problem is solved No "do a giveaway" or "kindle free promotion" and everybody will buy your book I collected all the working marketing steps for those who want to make an impact with their books. You won't find any of the words "strategy" or "planning" in this book. I'm a practical guy and so I try to keep the bullshit and time-wasting things away from you, but I deeply believe that there are methods that should be shared with the new authors who have limited resources to do marketing. I'm focusing mainly on KDP authors, since it is the best platform to publish indie books in 2019. You will find small steps (not time-consuming), and some bigger steps in this short book which will be effective in long term. I tried to keep these steps in a linear timeline as it may happen even in real life. I hope you will enjoy reading this book, and you will find some useful resources and unique tactics that will raise your book out from the crowd.

Learning from Data

Learning from Data
Author: Yaser S. Abu-Mostafa
Publisher:
Total Pages: 201
Release: 2012-01-01
Genre: Machine learning
ISBN: 9781600490064
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How to Create a Mind

How to Create a Mind
Author: Ray Kurzweil
Publisher: Penguin
Total Pages: 354
Release: 2013-08-27
Genre: Science
ISBN: 0143124048
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The bold futurist and bestselling author of The Singularity is Nearer explores the limitless potential of reverse-engineering the human brain Ray Kurzweil is arguably today’s most influential—and often controversial—futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world’s problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating. Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines.

Artificial Intelligence: A New Synthesis

Artificial Intelligence: A New Synthesis
Author: Nils J. Nilsson
Publisher: Elsevier
Total Pages: 536
Release: 1998-04-17
Genre: Computers
ISBN: 0080948340
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Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index

Computational Intelligence

Computational Intelligence
Author: Andries P. Engelbrecht
Publisher: John Wiley & Sons
Total Pages: 628
Release: 2007-10-22
Genre: Technology & Engineering
ISBN: 9780470512500
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Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Brand Hacks

Brand Hacks
Author: Emmanuel Probst
Publisher: Simon and Schuster
Total Pages: 242
Release: 2021-09-07
Genre: Business & Economics
ISBN: 1576878023
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economics;consumer behavior;advertising;branding;brand advertising;advertising campaigns;consumer psychology;marketing;market research;digital marketing;fortune 500;business;business development;business analysis;ipsos;dr emmanuel probst; Every year, brands spend over $560 billion (and counting) to convince us to buy their products. Yet, as consumers we have become insensitive to most advertising. We easily forget brands and may switch to another product on a whim. There are ways for brands to break this cycle. Brands that succeed are the ones that help us find meaning. In this process, the brands become meaningful in and of themselves. Brand Hacks takes you on an exploratory journey, revealing why most advertising campaigns fail and examining the personal, social, and cultural meanings that successful brands bring to consumers’ everyday lives. Most importantly, this book will show you how to use simple brand hacks to create and grow brands that deliver meaning even with a limited budget. Brand Hacks is supported by in-depth research in consumer psychology, interviews with industry-leading marketers, and case studies of meaningful brands, both big and small.