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Showing 26,601 through 26,625 of 100,000 results

Deep Integration, Global Firms, and Technology Spillovers (Advances in Japanese Business and Economics #26)

by Xingyuan Zhang Naoto Jinji Shoji Haruna

This open access book explores the impact of deep regional economic integration on spillovers of knowledge and technology across countries. Deep integration through signing deep regional trade agreements (DRTAs), which cover various policy areas in addition to tariff reductions, may or may not facilitate technology spillovers among their signatories. To understand the mechanism of the impact of deep integration on technology spillovers, this book starts by analyzing the behavior of global firms. Factors that affect global firms’ activities, such as export, foreign direct investment (FDI), offshore outsourcing, are examined. Micro data on Japanese firms are employed for the analysis. Then, the relationships between bilateral trade patterns and technology spillovers and between types of FDI and technology spillovers are investigated in detail. Patent citation data are used to measure technology spillovers. Finally, the impact of DRTAs on international technology spillovers is analyzed. This book is highly recommended to readers who are interested in the effects of deep regional integration, including academic scholars, policymakers, and graduate students.

Deep Integration in Latin American Trade Agreements (Routledge Studies in Latin American Politics)

by Ninfa M. Fuentes-Sosa

Trade agreements have uncontested relevance as essential instruments governing international trade, yet little attention has been directed towards explaining differences in their content. Deep Integration in Latin American Trade Agreements analyzes the structure, nature, and characteristics of deep integration in trade agreements established by Latin American countries after the crises of 1982 and until 2020 with their regional and extra-regional partners. Ninfa M. Fuentes-Sosa argues that deep integration can be disaggregated into its institutional, operative, and horizontal dimensions (which differ regarding their functions and application level). Empirically, she demonstrates that trade provisions can be mapped, measured, and allocated into their corresponding dimension, providing an understanding of the deep integration structure in Latin America. She claims that the current structure poses challenges for deepening regionalism at a broad scale. Countries working on specific areas over time could diminish obstacles that have prevented them from achieving deeper trade integration. Providing an operational definition and measures of deep integration, this book will be of great interest to scholars, graduate students, and policymakers working in the field of international political economy, trade, and trade politics.

Deep IV in Law: Appellate Decisions and Texts Impact Sentencing in Trial Courts (Elements in Law, Economics and Politics)

by Zhe Huang Xinyue Zhang Ruofan Wang Daniel L. Chen

Do US Circuit Courts' decisions on criminal appeals influence sentence lengths imposed by US District Courts? This Element explores the use of high-dimensional instrumental variables to estimate this causal relationship. Using judge characteristics as instruments, this Element implements two-stage models on court sentencing data for the years 1991 through 2013. This Element finds that Democratic, Jewish judges tend to favor criminal defendants, while Catholic judges tend to rule against them. This Element also finds from experiments that prosecutors backlash to Circuit Court rulings while District Court judges comply. Methodologically, this Element demonstrates the applicability of deep instrumental variables to legal data.

Deep Leadership: Essential Insights from High-Risk Environments

by Joe Macinnis

In this new twist on a topic of perennial interest, Joe MacInnis shows how the leadership traits forged in extraordinary circumstances are transferrable to our everyday lives. Simply put, this is a handbook for building character. Some people are born leaders. The rest of us find ourselves in positions where leadership is required. Self-described "accidental leader" Dr. Joe MacInnis found himself in such a situation: deep beneath the ice of the Arctic Ocean. Starting with his undersea explorations, this physician, scientist, author and motivational speaker shares an accessible--and obtainable--list of leadership traits inspired by his own journey and the icons he's learned from over the years. Deep Leadership is an eminently digestible book with short lessons and anecdotes. Think Rework meets Iacocca. Its centre is the author's 12 "Essential Traits of Leadership": Cool Competence, Powerful Presentations, Physical Toughness, Hot-Zone Humour, Mental Resilience, Strategic Imagination, High-Empathy Communication, Enduring Trust, Fierce Ingenuity, Team Genius, Resolute Courage and Warrior's Honour. Each trait is communicated with an anecdote from MacInnis's experience, making it totally memorable. MacInnis also gives the reader a primer to navigate his or her own path toward leadership, including such practices as keeping a journal, building a library, and finding mentors.

Deep Learning and Scientific Computing with R torch (Chapman & Hall/CRC The R Series)

by Sigrid Keydana

torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C/C++. Though still "young" as a project, R torch already has a vibrant community of users and developers. Experience shows that torch users come from a broad range of different backgrounds. This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold: - Provide a thorough introduction to torch basics – both by carefully explaining underlying concepts and ideas, and showing enough examples for the reader to become "fluent" in torch. - Again with a focus on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classification. - Provide a concepts-first, reader-friendly introduction to selected scientific-computation topics (namely, matrix computations, the Discrete Fourier Transform, and wavelets), all accompanied by torch code you can play with. Deep Learning and Scientific Computing with R torch is written with first-hand technical expertise and in an engaging, fun-to-read way.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques and Use Cases

by L. Ashok Kumar D. Karthika Renuka

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python

by Sofien Kaabar

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.Understand and create machine learning and deep learning modelsExplore the details behind reinforcement learning and see how it's used in time seriesUnderstand how to interpret performance evaluation metricsExamine technical analysis and learn how it works in financial marketsCreate technical indicators in Python and combine them with ML models for optimizationEvaluate the models' profitability and predictability to understand their limitations and potential

Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems)

by Fangxing Li Yan Du

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control.Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers.Provides a history of AI in power grid operation and planning;Introduces deep learning algorithms and applications in power systems;Includes several representative case studies.

Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities (Emerging Trends in Biomedical Technologies and Health informatics)

by M. A. Jabbar Ajith Abraham Onur Dogan Ana Madureira Sanju Tiwari

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques. In short, the volume : Discusses the relationship between AI and healthcare, and how AI is changing the health care industry. Considers uses of deep learning in diagnosis and prediction of disease spread. Presents a comprehensive review of research applying deep learning in health informatics across multiple fields. Highlights challenges in applying deep learning in the field. Promotes research in ddeep llearning application in understanding the biomedical process. Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA. Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey. Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal. Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.

Deep Learning in Practice

by Mehdi Ghayoumi

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL network’s parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE. This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step.

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

by Eric Topol

One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

Deep Metaphors at Work: A Strategy for Workable Wondering-Understanding the Minds of Consumers

by Gerald Zaltman Lindsay Zaltman

If you want to overcome the deficit prevalent in consumer marketing and evidenced by failed product launches, ineffective marketing communications, and me-too research and development, you must learn to identify and engage the deep metaphors that govern the minds of consumers.

Deep Purpose: The Heart and Soul of High-Performance Companies

by Ranjay Gulati

A distinguished Harvard Business School professor offers a compelling reassessment and defense of purpose as a management ethos, documenting the vast performance gains and social benefits that become possible when firms manage to get purpose right.Few business topics have aroused more skepticism in recent years than the notion of corporate purpose, and for good reason. Too many companies deploy purpose, or a reason for being, as a promotional vehicle to make themselves feel virtuous and to look good to the outside world. Some have only foggy ideas about what purpose is and conflate it with strategy and other concepts like “mission,” “vision,” and “values.” Even well-intentioned leaders don’t understand purpose’s full potential and engage half-heartedly and superficially with it. Outsiders spot this and become cynical about companies and the broader capitalist endeavor.Having conducted extensive field research, Ranjay Gulati reveals the fatal mistakes leaders unwittingly make when attempting to implement a reason for being. Moreover, he shows how companies can embed purpose much more deeply than they currently do, delivering impressive performance benefits that reward customers, suppliers, employees, shareholders, and communities alike. To get purpose right, leaders must fundamentally change not only how they execute it but also how they conceive of and relate to it. They must practice what Gulati calls deep purpose, furthering each organization’s reason for being more intensely, thoughtfully, and comprehensively than ever before.In this authoritative, accessible, and inspiring guide, Gulati takes readers inside some of the world’s most purposeful companies to understand the secrets to their successes. He explores how leaders can pursue purpose more deeply bynavigating the inevitable tradeoffs more deliberately and effectively to balance between short- and long-term value;building purpose more systematically into every key organizational function to mobilize stakeholders and enhance performance;updating organizations to foster more autonomy and collaboration, which in turn allow individual employees to work more purposefully;using powerful storytelling to communicate a reason for being, arousing emotions and building a community of inspired and committed stakeholders; andbuilding cultures that don’t merely support purpose, but also allow employees to link the corporate purpose to their own personal reasons for being.As Gulati argues, a deeper engagement with purpose holds the key not merely to the well-being of individual companies but also to humanity’s future. With capitalism under siege and relatively low levels of trust in business, purpose can serve as a radically new operating system for the enterprise, enhancing performance while also delivering meaningful benefits to society. It’s the kind of inspired thinking that businesses—and the rest of us—urgently need.

Deep Selling: How to Engage Buyers and Drive Growth in the Age of AI

by Graham Hawkins Mark Micallef

Develop stronger, more profitable relationships with your buyers in the digital era Right now, how we buy and sell is evolving dramatically. People have fundamentally changed the way they do business. To put it simply: buyers no longer interact with sellers in the same way. To ensure a profitable future, sales leaders and teams need to embrace this transformation. In the face of globalisation, ecommerce, subscription services, and new digital tools for buyers and sellers alike, you need new strategies to generate successful sales and better bottom lines. Deep Selling shares the cutting-edge sales model you need to create a buyer-obsessed, high-performance culture. Your team urgently needs to embrace the growing suite of digital and AI technologies. But new technologies alone won’t solve all your selling problems. To really maximise your success, you need to evolve your selling frameworks and behaviours. You need to use these new tools in smart ways, embedding them into your sales execution models. In this book, you’ll discover how to: Audit the current sales techniques and cycles in your organisation Transform your sales execution models Achieve organisational buy-in through new performance measures and shared goals for success Use data to drive strategy, and revolutionise your selling with the latest digital and AI tools Build deeper buyer relationships that create more value and improve buyer outcomes With Deep Selling, you and your team will learn how to meet buyers on today’s real-world terms — and engage them more fully and successfully than ever before.

Deep Smarts

by Dorothy Leonard Walter Swap

The asset most valuable to your company's future is lost every time an employee leaves the firmThis asset is more than knowledge, and it is more than intelligence-it is "deep smarts": the tacit "know-how" and expertise that comes only from years of hands-on experience. This book focuses on how to cultivate and harness deep smarts so that it stays in the firm, even if your employees don't.

Deep Smarts

by Dorothy Leonard Walter Swap

The asset most valuable to your company's future is lost every time an employee leaves the firmThis asset is more than knowledge, and it is more than intelligence-it is "deep smarts": the tacit "know-how" and expertise that comes only from years of hands-on experience. This book focuses on how to cultivate and harness deep smarts so that it stays in the firm, even if your employees don't.

Deep Space Commodities: Exploration, Production and Trading

by Tom James

Welcome to the new space economy... Space is open for business! The dawn of a new space race led by private sector entrepreneurs is upon us thanks to the USA Space Act 2015 and technology advances like SpaceX rockets, which have greatly reduced the cost of space flight. For the first time in history, the advances in both technical and legal infrastructure have opened up exciting opportunities that are already driving the commercial exploration of deep space commodities, Space tourism with Virgin Galactic, and the serious planning for the colonisation of our Moon and Mars. Tom James, a leading commodity and energy market practitioner and author, has brought together top professionals in academia, astropolitics, space engineering, and space law to explore the exciting opportunities and challenges businesses face in the new off-planet economy. With quadrillions of dollars of mineral wealth and frozen water within our reach, the stakes may be high, but so are the rewards.So pack your bags, fasten your oxygen mask and let’s get ready to boldly take business where business has not gone before...

Deep Stall: The Turbulent Story of Boeing Commercial Airplanes

by Philip K. Lawrence David W. Thornton

Deep Stall applies a framework of strategic analysis to the Boeing Company. Boeing is the world's largest aerospace / defence company, with turnover in the region of US $60bn. The book examines the relative decline of Boeing in the civil aircraft market in relation to European manufacturer, Airbus. The aim of the book is to utilize the concept of strategic value to explain Boeing's decline. The authors define this concept as investment in people and technology to leverage future market success by developing innovative new products, arguing that Boeing has neglected strategic value in favour of shareholder value, defined in terms of short-term cash benefits. The rationale for the book exists both in the fact that the story in itself is interesting and also in the wider framework of analysis concerning the correct strategic approach for running a high technology business. The argument illustrates what can happen when quarterly returns become the predominant strategic rationale for a company. In the U.S. the business media (Economist, Forbes, Fortune, and Business Week etc) are now focusing on the question of Boeing's decline and the major implications for the U.S. national interest. Boeing is one of the jewels in the US technology crown, but today U.S. jobs and capability are being exported abroad, with most of its aircraft program work based in Asia. This is a hot topic in the US which explains why the business media are now so interested in this question. The book sits squarely in the centre of this debate. Deep Stall concludes with a brief analysis of the recent fight-back that has been evident in Boeing's fortunes and the successful campaign to sell the new 787. The authors probe the question of whether Airbus or Boeing is likely to dominate in the next ten or fifteen years.

Deep State: Trump, the FBI, and the Rule of Law

by James Stewart

From bestselling author James Stewart, the definitive story of the war between President Trump and America's principal law enforcement agencies, answering the questions that the Mueller report couldn't – or wouldn't <P><P>When Trump fired James Comey, he triggered the appointment of Robert Mueller as an independent special counsel and caused the FBI to open a formal investigation into the President himself. This set in motion a chain of events, which would join in unprecedented and potentially mortal combat two vital institutions of American democracy: the Presidency and the Federal Bureau of Investigation, the investigative arm of the Department of Justice. <P><P>The stakes could not be higher: the rule of law itself, the foundation of the American constitution and Anglo-American democracy for centuries. In this epic battle, there is no room for compromise. There can only be winners and losers, to invoke a distinctly Trumpian view of the world. But there is plenty of room for collateral damage. The reputations of both sides have already been harmed, perhaps irrevocably, and at great cost to American democracy and its institutions. <P><P>Drawing on scores of interviews with key FBI, Justice Department, and White House officials, and voluminous transcripts, notes, and internal reports, Stewart tells the dramatic saga of the FBI and its simultaneous investigations of both Hillary Clinton and Donald Trump – the first time in American history the FBI has been thrust into the middle of both parties' campaigns for the Presidency. Packed with drama and a cast of fascinating characters, Deep State goes where others cannot, revealing the truth of the grand and world-changing struggle that has defined the Trump presidency. <P><P><b>A New York Times Bestseller</b>

Deep Talent: How to Transform Your Organization and Empower Your Employees Through AI

by Alexandra Levit Ashutosh Garg Kamal Ahluwalia

What's the secret to finding the right person for the job? And how do you ensure your existing employees thrive and flourish in the workplace? Deep Talent answers these questions and more, as it demonstrates how AI platforms can help you positively transform your business.Every successful business relies upon an effective workplace culture with employees that are driven, productive and knowledgeable. So it's vital that leaders do everything they can to hire, develop and keep the people who are driving their growth and help them recognize their skills, capabilities and potential. Deep Talent provides strategies and approaches that any business leader can adopt to reinvigorate their workforce. It highlights the rising significance of talent intelligence platforms which, when combined with human instinct, can streamline and enhance business practices.The recent transformation in workplace culture presents a huge opportunity for ambitious business leaders who want to improve their workplace culture and get ahead of the competition. Drawing upon fascinating case studies and first-hand research, Deep Talent provides clear strategies for supporting your workforce and using AI to its full potential. Uncover the cutting-edge ways in which you can reinvigorate the enthusiasm and productivity of your workforce and attract the best talent to your organization.

Deep Trade Agreements: Anchoring Global Value Chains in Latin America and the Caribbean

by Nadia Rocha, Michele Ruta

Globally, greater integration in international trade and global value chains (GVCs) has been linked to increased GDP per capita and productivity. Latin American and Caribbean (LAC) countries have displayed limited trade openness and weak integration into GVCs. Their trade is roughly one-third of GDP on average, compared with one-half in countries in Europe and Central Asia, as well as East Asia and the Pacific—and that share has not grown since 2000. Although the gaps between potential and actual GVC integration are the result of economic fundamentals—such as geography, market size, institutions, and factor endowments—policy choices matter as well. The region has untapped potential in trade and GVCs to grow in the wake of COVID-19 (coronavirus). Deep trade agreements are reciprocal agreements between countries that seek integration of goods, services, and factors’ markets, or deep integration. Drawing on new data and evidence, Deep Trade Agreements: Anchoring Global Value Chains in Latin America and the Caribbean shows that these agreements can drive policy reforms that can help the region overcome some of its disadvantageous fundamentals. Four areas of deep integration—trade facilitation, regulatory cooperation, services, and state support—are priorities to improve the participation of countries in the region in GVC: 1. Facilitating trade can reduce border delays and ease the challenges caused by the remoteness of some countries. 2. Improving regulatory cooperation can help create larger regional markets by reducing the costs of nontariff measures. 3. Opening the service economy can compensate for factor endowment scarcity and facilitate access to skills and technology. 4. Fostering competition and regulating state support and state-owned enterprises can improve the quality of economic institutions. These areas are increasingly important as global trade tensions persist and economies recover from the COVID-19 pandemic. In these times of uncertainty and upheaval, the policy commitments in deep trade agreements can create a more stable institutional environment to promote the ability of countries to participate in GVCs and to reap the benefits of integration. This work is a product of the regional studies program sponsored by the Latin America and the Caribbean Chief Economist’s Office.

Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations (Wiley Finance)

by Tobias E. Carlisle

The economic climate is ripe for another golden age of shareholder activism Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations is a must-read exploration of deep value investment strategy, describing the evolution of the theories of valuation and shareholder activism from Graham to Icahn and beyond. The book combines engaging anecdotes with industry research to illustrate the principles and methods of this complex strategy, and explains the reasoning behind seemingly incomprehensible activist maneuvers. Written by an active value investor, Deep Value provides an insider's perspective on shareholder activist strategies in a format accessible to both professional investors and laypeople. The Deep Value investment philosophy as described by Graham initially identified targets by their discount to liquidation value. This approach was extremely effective, but those opportunities are few and far between in the modern market, forcing activists to adapt. Current activists assess value from a much broader palate, and exploit a much wider range of tools to achieve their goals. Deep Value enumerates and expands upon the resources and strategies available to value investors today, and describes how the economic climate is allowing value investing to re-emerge. Topics include: Target identification, and determining the most advantageous ends Strategies and tactics of effective activism Unseating management and fomenting change Eyeing conditions for the next M&A boom Activist hedge funds have been quiet since the early 2000s, but economic conditions, shareholder sentiment, and available opportunities are creating a fertile environment for another golden age of activism. Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations provides the in-depth information investors need to get up to speed before getting left behind.

Deep Work: Rules for Focused Success in a Distracted World

by Cal Newport

One of the most valuable skills in our economy is becoming increasingly rare. If you master this skill, you'll achieve extraordinary results.Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.'Cal Newport is exceptional in the realm of self-help authors' New York Times'Deep work' is the ability to focus without distraction on a cognitively demanding task. Coined by author and professor Cal Newport on his popular blog Study Hacks, deep work will make you better at what you do, let you achieve more in less time and provide the sense of true fulfilment that comes from the mastery of a skill. In short, deep work is like a superpower in our increasingly competitive economy.And yet most people, whether knowledge workers in noisy open-plan offices or creatives struggling to sharpen their vision, have lost the ability to go deep - spending their days instead in a frantic blur of email and social media, not even realising there's a better way.A mix of cultural criticism and actionable advice, DEEP WORK takes the reader on a journey through memorable stories -- from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air -- and surprising suggestions, such as the claim that most serious professionals should quit social media and that you should practice being bored. Put simply: developing and cultivating a deep work practice is one of the best decisions you can make in an increasingly distracted world and this book will point the way.

Deep Work: Rules for Focused Success in a Distracted World

by Cal Newport

AN AMAZON BEST BOOK OF 2O16 PICK IN BUSINESS & LEADERSHIPWALL STREET JOURNAL BUSINESS BESTSELLER A BUSINESS BOOK OF THE WEEK AT 800-CEO-READMaster one of our economy&’s most rare skills and achieve groundbreaking results with this &“exciting&” book (Daniel H. Pink) from an &“exceptional&” author (New York Times Book Review). Deep work is the ability to focus without distraction on a cognitively demanding task. It's a skill that allows you to quickly master complicated information and produce better results in less time. Deep Work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep-spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way. In Deep Work, author and professor Cal Newport flips the narrative on impact in a connected age. Instead of arguing distraction is bad, he instead celebrates the power of its opposite. Dividing this book into two parts, he first makes the case that in almost any profession, cultivating a deep work ethic will produce massive benefits. He then presents a rigorous training regimen, presented as a series of four "rules," for transforming your mind and habits to support this skill. 1. Work Deeply 2. Embrace Boredom 3. Quit Social Media 4. Drain the Shallows A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories-from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air-and no-nonsense advice, such as the claim that most serious professionals should quit social media and that you should practice being bored. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.

Deep Work: Rules for Focused Success in a Distracted World

by Cal Newport

One of the most valuable skills in our economy is becoming increasingly rare. If you master this skill, you'll achieve extraordinary results.Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.'Cal Newport is exceptional in the realm of self-help authors' New York Times'Deep work' is the ability to focus without distraction on a cognitively demanding task. Coined by author and professor Cal Newport on his popular blog Study Hacks, deep work will make you better at what you do, let you achieve more in less time and provide the sense of true fulfilment that comes from the mastery of a skill. In short, deep work is like a superpower in our increasingly competitive economy.And yet most people, whether knowledge workers in noisy open-plan offices or creatives struggling to sharpen their vision, have lost the ability to go deep - spending their days instead in a frantic blur of email and social media, not even realising there's a better way.A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories -- from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air -- and surprising suggestions, such as the claim that most serious professionals should quit social media and that you should practice being bored. Put simply: developing and cultivating a deep work practice is one of the best decisions you can make in an increasingly distracted world. This book will point the way.

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