Genai Black Book

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GenAI Black Book

Author : Husn Ara
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (265 download)

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Book Synopsis GenAI Black Book by : Husn Ara

Download or read book GenAI Black Book written by Husn Ara and published by Independently Published. This book was released on 2024-05-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the "GenAI Black Book", an extensive guide crafted to unravel the fascinating world of Generative Artificial Intelligence (GenAI). As we stand on the cusp of a technological revolution, the ability of AI to create, innovate, and transform is becoming increasingly profound. This book is designed to be your comprehensive companion on this journey, whether you are a novice taking your first steps into AI or an experienced practitioner looking to deepen your understanding. The Dawn of Generative AI Generative AI represents a pivotal advancement in the field of artificial intelligence, enabling machines to generate text, images, music, and more, with creativity and coherence that often rival human outputs. From generating realistic images to crafting compelling narratives, the applications of GenAI are as diverse as they are groundbreaking. This book aims to demystify these technologies, providing clear explanations, practical examples, and insightful discussions on their implications. The book begins with an introduction to the fundamental concepts of generative AI, providing readers with a solid understanding of the underlying principles and methodologies. It covers various generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, elucidating their architectures, training procedures, and real-world use cases. As readers progress through the chapters, they are introduced to advanced topics such as conditional generation, multimodal generation, unsupervised learning, LLM, LLAMA, Prompt Engineering and Retrieval-Augmented Generation (RAG) Framework, gaining hands-on experience through code examples and tutorials. The book also explores cutting-edge research and emerging trends in the field, offering insights into the future directions of generative AI. With practical guidance and actionable insights, "GenAI Black Book " equips readers with the knowledge and skills needed to harness the power of generative AI for a wide range of applications, including art generation, content creation, natural language processing, and more. Whether you're a data scientist, AI enthusiast, or industry professional, this book serves as an invaluable resource for mastering the art and science of generative AI. A Commitment to Responsible AI As we explore the boundless potential of Generative AI, it is imperative to acknowledge and address the ethical and societal impacts of these technologies. The "GenAI Black Book" is committed to fostering a responsible and ethical approach to AI development and deployment, ensuring that these powerful tools are used to benefit society at large. For the Reader This book is designed to be accessible to a wide audience. Each chapter builds upon the previous ones, making it suitable for both self-study and academic use. Code examples are provided in Python, leveraging popular libraries such as Hugging Face's Transformers, to offer hands-on experience with implementing GenAI systems. We hope that the "GenAI Black Book" will inspire, educate, and empower you to explore the exciting possibilities of Generative AI. Whether you aim to develop cutting-edge applications, contribute to research, or simply satisfy your curiosity, this book is your gateway to understanding and mastering Generative AI. Welcome to the future of creativity and innovation. Welcome to the "GenAI Black Book".

Why Are All the Black Kids Sitting Together in the Cafeteria?

Author : Beverly Daniel Tatum
Publisher : Basic Books
ISBN 13 : 1541616588
Total Pages : 461 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis Why Are All the Black Kids Sitting Together in the Cafeteria? by : Beverly Daniel Tatum

Download or read book Why Are All the Black Kids Sitting Together in the Cafeteria? written by Beverly Daniel Tatum and published by Basic Books. This book was released on 2017-09-05 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classic, New York Times-bestselling book on the psychology of racism that shows us how to talk about race in America. Walk into any racially mixed high school and you will see Black, White, and Latino youth clustered in their own groups. Is this self-segregation a problem to address or a coping strategy? How can we get past our reluctance to discuss racial issues? Beverly Daniel Tatum, a renowned authority on the psychology of racism, argues that straight talk about our racial identities is essential if we are serious about communicating across racial and ethnic divides and pursuing antiracism. These topics have only become more urgent as the national conversation about race is increasingly acrimonious. This fully revised edition is essential reading for anyone seeking to understand dynamics of race and racial inequality in America.

Artificial Intelligence

Author : Melanie Mitchell
Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 336 pages
Book Rating : 4.3/5 (747 download)

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Book Synopsis Artificial Intelligence by : Melanie Mitchell

Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

The Wall

Author : Gautam Bhatia
Publisher : Harper Collins
ISBN 13 : 9353578361
Total Pages : 400 pages
Book Rating : 4.3/5 (535 download)

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Book Synopsis The Wall by : Gautam Bhatia

Download or read book The Wall written by Gautam Bhatia and published by Harper Collins. This book was released on 2020-08-13 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Imagine a horizon.' 'I can't.' Mithila's world is bound by a Wall enclosing the city of Sumer -- nobody goes out, nothing comes in. The days pass as they have for two thousand years: just enough to eat for just enough people, living by the rules. Within the city, everyone knows their place. But when Mithila tries to cross the Wall, every power in Sumer comes together to stop her. To break the rules is to risk all of civilization collapsing. But to follow them is to never know: who built the Wall? Why? And what would the world look like if it didn't exist? As Mithila and her friends search for the truth, they must risk losing their families, the ones they love, and even their lives. Is a world they can't imagine worth the only world they have? For fans of Isaac Asimov's Nightfall and Ursula Le Guin's The Dispossessed comes an astonishingly powerful voice in speculative fiction that explores what it means to truly be free.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. 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.

The High-Velocity Edge: How Market Leaders Leverage Operational Excellence to Beat the Competition

Author : Steven J. Spear
Publisher : McGraw Hill Professional
ISBN 13 : 0071741402
Total Pages : 432 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis The High-Velocity Edge: How Market Leaders Leverage Operational Excellence to Beat the Competition by : Steven J. Spear

Download or read book The High-Velocity Edge: How Market Leaders Leverage Operational Excellence to Beat the Competition written by Steven J. Spear and published by McGraw Hill Professional. This book was released on 2010-05-07 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generate faster, better results—using less capital and fewer resources! Toyota, Alcoa, Pratt & Whitney, and the U.S. Navy's Nuclear Power Program operate in vastly different worlds, but they have one thing in common. Each of these organizations generates constant, almost automatic operational self-improvements at rates faster, durations longer, and breadths wider than any of its competitors. Excellence in operational management is the single element separating industry leaders from all others. The High-Velocity Edge is a blueprint for fueling innovation and improvement at both the management and process level in your own company. It’s not magic, it’s not luck. It’s something that that can be taught, cultivated, practiced, and effectively applied to an organization. Spears explains how to: Build a system of “dynamic discovery” that reveals operational problems and weaknesses Attack and solve problems at the time and in the place where they occur, converting weaknesses into strengths Disseminate knowledge gained from solving local problems throughout the company as a whole Create managers invested in the process of continual innovation Apply the lessons of The High-Velocity Edge, and you will enjoy profitability, quality, efficiency, reliability, and agility unmatched by any of your rivals.

Making Work Visible

Author : Dominica DeGrandis
Publisher :
ISBN 13 : 9781942788157
Total Pages : pages
Book Rating : 4.7/5 (881 download)

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Book Synopsis Making Work Visible by : Dominica DeGrandis

Download or read book Making Work Visible written by Dominica DeGrandis and published by . This book was released on 2017-10-03 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Technology time management expert Dominica DeGrandis, the reveals the real crime of the century--time theft, one of the most costly factors impacting enterprises in their day-to-day operations. The solution to preventing these value stream delays? Make the work visible. In this timely book (title not final), solutions and preventative measures are illustrated and methodologies outlined for immediate application into daily work.

Grokking Machine Learning

Author : Luis Serrano
Publisher : Simon and Schuster
ISBN 13 : 1617295914
Total Pages : 510 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Grokking Machine Learning by : Luis Serrano

Download or read book Grokking Machine Learning written by Luis Serrano and published by Simon and Schuster. This book was released on 2021-12-14 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.

The Art of Business Value

Author : Mark Schwartz
Publisher : IT Revolution
ISBN 13 : 1942788053
Total Pages : 163 pages
Book Rating : 4.9/5 (427 download)

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Book Synopsis The Art of Business Value by : Mark Schwartz

Download or read book The Art of Business Value written by Mark Schwartz and published by IT Revolution. This book was released on 2016-04-07 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you really understand what business value is? Information technology can and should deliver business value. But the Agile literature has paid scant attention to what business value means—and how to know whether or not you are delivering it. This problem becomes ever more critical as you push value delivery toward autonomous teams and away from requirements “tossed over the wall” by business stakeholders. An empowered team needs to understand its goal! Playful and thought-provoking, The Art of Business Value explores what business value means, why it matters, and how it should affect your software development and delivery practices. More than any other IT delivery approach, DevOps (and Agile thinking in general) makes business value a central concern. This book examines the role of business value in software and makes a compelling case for why a clear understanding of business value will change the way you deliver software. This book will make you think deeply about not only what it means to deliver value but also the relationship of the IT organization to the rest of the enterprise. It will give you the language to discuss value with the business, methods to cut through bureaucracy, and strategies for incorporating Agile teams and culture into the enterprise. Most of all, this book will startle you into new ways of thinking about the cutting-edge of Agile practice and where it may lead.

CEO Excellence

Author : Carolyn Dewar
Publisher : Simon and Schuster
ISBN 13 : 1982179678
Total Pages : 384 pages
Book Rating : 4.9/5 (821 download)

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Book Synopsis CEO Excellence by : Carolyn Dewar

Download or read book CEO Excellence written by Carolyn Dewar and published by Simon and Schuster. This book was released on 2022-03-15 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Based on extensive interviews with today's . . . corporate leaders, this look at how the best CEOs do their jobs focuses on the mindsets and actions that foster an environment of excellence"--

Learning Deep Learning

Author : Magnus Ekman
Publisher : Addison-Wesley Professional
ISBN 13 : 0137470290
Total Pages : 1106 pages
Book Rating : 4.1/5 (374 download)

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Book Synopsis Learning Deep Learning by : Magnus Ekman

Download or read book Learning Deep Learning written by Magnus Ekman and published by Addison-Wesley Professional. This book was released on 2021-07-19 with total page 1106 pages. Available in PDF, EPUB and Kindle. Book excerpt: NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

The Phoenix Project

Author : Gene Kim
Publisher : IT Revolution
ISBN 13 : 1942788304
Total Pages : 580 pages
Book Rating : 4.9/5 (427 download)

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Book Synopsis The Phoenix Project by : Gene Kim

Download or read book The Phoenix Project written by Gene Kim and published by IT Revolution. This book was released on 2018-02-06 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: ***Over a half-million sold! And available now, the Wall Street Journal Bestselling sequel The Unicorn Project*** “Every person involved in a failed IT project should be forced to read this book.”—TIM O'REILLY, Founder & CEO of O'Reilly Media “The Phoenix Project is a must read for business and IT executives who are struggling with the growing complexity of IT.”—JIM WHITEHURST, President and CEO, Red Hat, Inc. Five years after this sleeper hit took on the world of IT and flipped it on it's head, the 5th Anniversary Edition of The Phoenix Project continues to guide IT in the DevOps revolution. In this newly updated and expanded edition of the bestselling The Phoenix Project, co-author Gene Kim includes a new afterword and a deeper delve into the Three Ways as described in The DevOps Handbook. Bill, an IT manager at Parts Unlimited, has been tasked with taking on a project critical to the future of the business, code named Phoenix Project. But the project is massively over budget and behind schedule. The CEO demands Bill must fix the mess in ninety days or else Bill's entire department will be outsourced. With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with a manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited. In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again. “This book is a gripping read that captures brilliantly the dilemmas that face companies which depend on IT, and offers real-world solutions.”—JEZ HUMBLE, Co-author of Continuous Delivery, Lean Enterprise, Accelerate, and The DevOps Handbook

The Hype Machine

Author : Sinan Aral
Publisher : Currency
ISBN 13 : 0525574522
Total Pages : 417 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis The Hype Machine by : Sinan Aral

Download or read book The Hype Machine written by Sinan Aral and published by Currency. This book was released on 2020-09-15 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Beyond The Phoenix Project

Author : Gene Kim
Publisher : IT Revolution
ISBN 13 : 1942788258
Total Pages : 301 pages
Book Rating : 4.9/5 (427 download)

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Book Synopsis Beyond The Phoenix Project by : Gene Kim

Download or read book Beyond The Phoenix Project written by Gene Kim and published by IT Revolution. This book was released on 2018-02-27 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a companion transcript of the audio series, Beyond The Phoenix Project, intended to be used for reference and to enable further research of cited material, and not as a standalone work. In the audio series, Gene Kim and John Willis present a nine-part discussion that includes an oral history of the DevOps movement, as well as discussions around pivotal figures and philosophies that DevOps draws upon, from Goldratt to Deming; from Lean to Safety Culture to Learning Organizations.The book is a great way for listeners to take an even deeper dive into topics relevant to DevOps and leading technology organizations.

Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

The Unicorn Project

Author : Gene Kim
Publisher : IT Revolution
ISBN 13 : 1942788770
Total Pages : 499 pages
Book Rating : 4.9/5 (427 download)

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Book Synopsis The Unicorn Project by : Gene Kim

Download or read book The Unicorn Project written by Gene Kim and published by IT Revolution. This book was released on 2019-11-26 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Phoenix Project wowed over a half-million readers. Now comes the Wall Street Journal Bestselling Wall Street Journal bestselling The Unicorn Project! “The Unicorn Project is amazing, and I loved it 100 times more than The Phoenix Project…”—FERNANDO CORNAGO, Senior Director Platform Engineering, Adidas “Gene Kim does a masterful job of showing how … the efforts of many create lasting business advantages for all.”—DR. STEVEN SPEAR, author of The High-Velocity Edge, Sr. Lecturer at MIT, and principal of HVE LLC. “The Unicorn Project is so clever, so good, so crazy enlightening!”––CORNELIA DAVIS, Vice President Of Technology at Pivotal Software, Inc., Author of Cloud Native Patterns This highly anticipated follow-up to the bestselling title The Phoenix Project takes another look at Parts Unlimited, this time from the perspective of software development. In The Unicorn Project, we follow Maxine, a senior lead developer and architect, as she is exiled to the Phoenix Project, to the horror of her friends and colleagues, as punishment for contributing to a payroll outage. She tries to survive in what feels like a heartless and uncaring bureaucracy and to work within a system where no one can get anything done without endless committees, paperwork, and approvals. One day, she is approached by a ragtag bunch of misfits who say they want to overthrow the existing order, to liberate developers, to bring joy back to technology work, and to enable the business to win in a time of digital disruption. To her surprise, she finds herself drawn ever further into this movement, eventually becoming one of the leaders of the Rebellion, which puts her in the crosshairs of some familiar and very dangerous enemies. The Age of Software is here, and another mass extinction event looms—this is a story about rebel developers and business leaders working together, racing against time to innovate, survive, and thrive in a time of unprecedented uncertainty...and opportunity. “The Unicorn Project provides insanely useful insights on how to improve your technology business.”—DOMINICA DEGRANDIS, author of Making Work Visible and Director of Digital Transformation at Tasktop ——— “My goal in writing The Unicorn Project was to explore and reveal the necessary but invisible structures required to make developers (and all engineers) productive, and reveal the devastating effects of technical debt and complexity. I hope this book can create common ground for technology and business leaders to leave the past behind, and co-create a better future together.”—Gene Kim, November 2019

An Introduction to Statistical Learning

Author : Gareth James
Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis An Introduction to Statistical Learning by : Gareth James

Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.