Empfehlungen basierend auf "The Professor Is In: The Essential Guide To Turning Your Ph.D. Into a Job"

What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they’ve found have much to teach us.In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one’s inbox to peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Economics is not a field that is known for good writing. Charts, yes. Sparkling prose, no.   Except, that is, when it comes to Deirdre Nansen McCloskey. Her conversational and witty yet always clear style is a hallmark of her classic works of economic history, enlivening the dismal science and engaging readers well beyond the discipline. And now she’s here to share the secrets of how it’s done.   Economical Writing is itself economical: a collection of thirty-five pithy rules for making your writing clear, concise, and effective. Proceeding from big-picture ideas to concrete strategies for improvement at the level of the paragraph, sentence, or word, McCloskey shows us that good writing, after all, is not just a matter of taste—it’s a product of adept intuition and a rigorous revision process. Debunking stale rules, warning us that “footnotes are nests for pedants,” and offering an arsenal of readily applicable tools and methods, she shows writers of all levels of experience how to rethink the way they approach their work, and gives them the knowledge to turn mediocre prose into magic.   At once efficient and digestible, hilarious and provocative, Economical Writing lives up to its promise. With McCloskey as our guide, it’s impossible not to see how any piece of writing—on economics or any other subject—can be a pleasure to read.

The foremost authority on innovation and growth presents a path-breaking book every company needs to transform innovation from a game of chance to one in which they develop products and services customers not only want to buy, but are willing to pay premium prices for. How do companies know how to grow? How can they create products that they are sure customers want to buy? Can innovation be more than a game of hit and miss? Harvard Business School professor Clayton Christensen has the answer. A generation ago, Christensen revolutionized business with his groundbreaking theory of disruptive innovation. Now, he goes further, offering powerful new insights. After years of research, Christensen has come to one critical conclusion: our long held maxim—that understanding the customer is the crux of innovation—is wrong. Customers don’t buy products or services; they "hire" them to do a job. Understanding customers does not drive innovation success, he argues. Understanding customer jobs does. The "Jobs to Be Done" approach can be seen in some of the world’s most respected companies and fast-growing startups, including Amazon, Intuit, Uber, Airbnb, and Chobani yogurt, to name just a few. But this book is not about celebrating these successes—it’s about predicting new ones. Christensen contends that by understanding what causes customers to "hire" a product or service, any business can improve its innovation track record, creating products that customers not only want to hire, but that they’ll pay premium prices to bring into their lives. Jobs theory offers new hope for growth to companies frustrated by their hit and miss efforts. This book carefully lays down Christensen’s provocative framework, providing a comprehensive explanation of the theory and why it is predictive, how to use it in the real world—and, most importantly, how not to squander the insights it provides.

Design your networks to successfully manage their growing complexityNetwork professionals have often been told that today’s modern control planes would simplify their networks. The opposite has happened: Technologies like SDN and NFV, although immensely valuable, are exacerbating complexity instead of solving it. Navigating Network Complexity is the first comprehensive guide to managing this complexity in both deployment and day-to-day operations.Russ White and Jeff Tantsura introduce modern complexity theory from the standpoint of the working network engineer, helping you apply it to the practical problems you face every day. Avoiding complex mathematical models, they show how to characterize network complexity, so you can understand it and control it.The authors examine specific techniques and technologies associated with network control planes, including SDNs, fast reroute, segment routing, service chaining, and cloud computing. They reveal how each of these affects network design and complexity and help you anticipate causes of failure in highly complex systems.Next, they turn to modern control planes, examining the fundamental operating principles of SDNs, such as OpenFlow and I2RS, network and other service function virtualization, content distribution networks, Layer 2 fabrics, and service chaining solutions. You’ll learn how each of these might both resolve and increase complexity in network design and operations and what you can do about it.Coverage includes:Defining complexity, understanding its components, and measuring it Mastering a straightforward “state, speed, and surface” model for analyzing complexity Controlling complexity in design, deployment, operations, protocols, and programmable networks Understanding how complex network systems begin to fail and how to prevent failure Recognizing complexity tradeoffs in service virtualization and service chaining Managing new challenges of complexity in virtualized and cloud environments Learning why constructs such as hierarchical design, aggregation, and protocol layering work and when they work best Choosing the right models to contain complexity as your network changesFrom start to finish, Navigating Network Complexity helps you assess the true impact of new network technologies, so they can capture more value with fewer problems.

A guide to the strategic planning techniques used by Japanese business executives explains how to identify the customer's needs, evaluate the strengths of the company, and overcome competition

This book explains the keys to successful investment and the pitfalls that can destroy capital or ruin a career. Utilizing passages from his memos to illustrate his ideas, Marks teaches by example, detailing the development of an investment philosophy that fully acknowledges the complexities of investing and the perils of the financial world. Brilliantly applying insight to today's volatile markets, Marks offers a volume that is part memoir, part creed, with a number of broad takeaways.

In a sweeping vision for the future of work, Neumeier shows that the massive problems of the 21st century are largely the consequence of a paradigm shift—a shuddering gear-change from the familiar Industrial Age to the unfamiliar “Robotic Age,” an era of increasing man-machine collaboration.   This change is creating the “Robot Curve,” an accelerating waterfall of obsolescence and opportunity that is currently reshuffling the fortunes of workers, companies, and national economies. It demonstrates how the cost and value of a unit of work go down as it moves from creative to skilled to rote, and, finally, to robotic. While the Robot Curve is dangerous to those with brittle or limited skills, it offers unlimited potential to those with metaskills—master skills that enable other skills.   Neumeier believes that the metaskills we need in a post-industrial economy are feeling (intuition and empathy), seeing (systems thinking), dreaming (applied imagination), making (design), and learning (autodidactics). These are not the skills we were taught in school. Yet they’re the skills we’ll need to harness the curve.   In explaining each of the metaskills, he offers encouragement and concrete advice for mastering their intricacies. At the end of the book he lays out seven changes that education can make to foster these important talents.   This is a rich, exciting book for forward-thinking educators, entrepreneurs, designers, artists, scientists, and future leaders in every field. It comes illustrated with clear diagrams and a 16-page color photo essay. Those who enjoy this book may be interested in its slimmer companion, The 46 Rules of Genius, also by Marty Neumeier.              Things you’ll learn in Metaskills:   - How to stay ahead of the “robot curve” - How to account for “latency” in your predictions - The 9 most common traps of systems behavior - How to distinguish among 4 types of originality - The 3 key steps in generating innovative solutions - 6 ways to think like Steve Jobs - How to recognize the 3 essential qualities of beauty - 24 aesthetic tools you can apply to any kind of work - 10 strategies to trigger breakthrough ideas - Why every team needs an X-shaped person - How to overcome the 5 forces arrayed against simplicity - 6 tests for measuring the freshness of a concept   - How to deploy the 5 principles of “uncluding” - The 10 tests for measuring great work - How to sell an innovative concept to an organization - 12 principles for constructing a theory of learning - How to choose a personal mission for the real world - The 4 levels of professional achievement - 7 steps for revolutionizing education From the back cover "Help! A robot ate my job!" If you haven't heard this complaint yet, you will. Today's widespread unemployment is not a jobs crisis. It's a talent crisis. Technology is taking every job that doesn't need a high degree of creativity, humanity, or leadership. The solution? Stay on top of the Robot Curve--a constant waterfall of obsolescence and opportunity fed by competition and innovation. Neumeier presents five metaskills--feeling, seeing, dreaming, making, and learning--that will accelerate your success in the Robotic Age.

The first book to deal with the problems of communicating to a skeptical, media-blitzed public, Positioning describes a revolutionary approach to creating a "position" in a prospective customer's mind-one that reflects a company's own strengths and weaknesses as well as those of its competitors. Writing in their trademark witty, fast-paced style, advertising gurus Ries and Trout explain how to: Make and position an industry leader so that its name and message wheedles its way into the collective subconscious of your market-and stays there Position a follower so that it can occupy a niche not claimed by the leader Avoid letting a second product ride on the coattails of an established one.Positioning also shows you how to: Use leading ad agency techniques to capture the biggest market share and become a household name Build your strategy around your competition's weaknesses Reposition a strong competitor and create a weak spot Use your present position to its best advantage Choose the best name for your product Determine when-and why-less is more Analyze recent trends that affect your positioning.Ries and Trout provide many valuable case histories and penetrating analyses of some of the most phenomenal successes and failures in advertising history. Revised to reflect significant developments in the five years since its original publication, Positioning is required reading for anyone in business today.

Refactoring is about improving the design of existing code. It is the process of changing a software system in such a way that it does not alter the external behavior of the code, yet improves its internal structure. With refactoring you can even take a bad design and rework it into a good one. This book offers a thorough discussion of the principles of refactoring, including where to spot opportunities for refactoring, and how to set up the required tests. There is also a catalog of more than 40 proven refactorings with details as to when and why to use the refactoring, step by step instructions for implementing it, and an example illustrating how it works The book is written using Java as its principle language, but the ideas are applicable to any OO language.

Economics is not a field that is known for good writing. Charts, yes. Sparkling prose, no.Except, that is, when it comes to Deirdre Nansen McCloskey. Her conversational and witty yet always clear style is a hallmark of her classic works of economic history, enlivening the dismal science and engaging readers well beyond the discipline. And now she’s here to share the secrets of how it’s done.Economical Writing is itself economical: a collection of thirty-five pithy rules for making your writing clear, concise, and effective. Proceeding from big-picture ideas to concrete strategies for improvement at the level of the paragraph, sentence, or word, McCloskey shows us that good writing, after all, is not just a matter of taste—it’s a product of adept intuition and a rigorous revision process. Debunking stale rules, warning us that “footnotes are nests for pedants,” and offering an arsenal of readily applicable tools and methods, she shows writers of all levels of experience how to rethink the way they approach their work, and gives them the knowledge to turn mediocre prose into magic.At once efficient and digestible, hilarious and provocative, Economical Writing lives up to its promise. With McCloskey as our guide, it’s impossible not to see how any piece of writing—on economics or any other subject—can be a pleasure to read.