“…The real secret is that there's a much better tool for spreading influence and generating revenue—one with far less competition. Podcasting offers rich opportunities, especially if you get in early and do it right. …”

“…Low-skilled workers participate less in lifelong learning and introducing targeted re-training programmes would boost competencies more broadly. …”

“…KEY TOPICS INCLUDE HOW TO: Use and troubleshoot Class Loaders Build dynamic and generic services through reflection Control an object's serialized representation Load and use native code components Extend the Java class format to add custom services Automate development with code generation This is a cutting-edge approach to Java programming: An emphasis on deployment can be the best way to take advantage of some of the most valuable, yet less heralded, aspects of Java technology. 0201753065B11212001…”

“…Faced with enormous pressures to do more with less, companies need a more productive, enterprise-level, integrated development tool. …”

“…Whatever your Six Sigma goals, this book will help you achieve them faster—with less pain, cost, or risk. Using a proven Six Sigma deployment roadmap for nonmanufacturing organizations Planning strategies, execution tactics, customized methods and tools Leveraging the immense value of Six Sigma in your environment Realistically assessing the benefits of Six Sigma in nonmanufacturing organizations Driving ongoing success: lessons from real-world case studies Best practices for driving project-by-project improvement Aligning the entire organization behind Six Sigma From leadership commitment to team building—and beyond…”

“…For those with a little less experience, it works seamlessly in conjunction with Philip's other Elements guide: "Adobe Photoshop Elements 7: A visual introduction to digital photography". …”

“…Python developers have been particularly fortunate in this area, having been able to take advantage of Django, a very popular open-source web framework whose stated goal is to "make it easier to build better web applications more quickly with less code." Practical Django Projects introduces this popular framework by way of a series of real–world projects. …”

“…Provides practical examples, step-by-step instructions, and contextual information Quick-reference style delivers the commands needed for managing data and the network; working with Active Directory; performing diagnostics and maintenance; and, creating batch files and scripts Covers administration for Windows Server 2008 Server Core, Windows Server 2008 (including R2), and Windows 7 Administrators can get more done in less time with CLI than they can with the standard GUI. …”

“…The chapters deal not only with 'typical' colonial empires like the British Empire, but also with those less well-studied, such as the German, Russian, Italian and U.S. empires. …”

“…Chapters 3, 4, and 5 could be covered with more or less details in the mathematical issues depending on the mathematical background of the students. …”

“…Java 7 Recipes is focused less on the language itself and more on what you can do with it that is useful. …”

“…Are human decisions less biased than automated ones? AI is increasingly showing up in highly sensitive areas such as healthcare, hiring, and criminal justice. …”

“…You’ll learn how to: Fulfill data science value by reducing friction throughout ML pipelines and workflows Constantly refine ML models through retraining, periodic tuning, and even complete remodeling to ensure long-term accuracy Design the ML Ops lifecycle to ensure that people-facing models are unbiased, fair, and explainable Operationalize ML models not only for pipeline deployment but also for external business systems that are more complex and less standardized Put the four-step Build, Manage, Deploy and Integrate, and Monitor approach into action…”

“…You’ll learn how to: Fulfill data science value by reducing friction throughout ML pipelines and workflows Constantly refine ML models through retraining, periodic tuning, and even complete remodeling to ensure long-term accuracy Design the ML Ops lifecycle to ensure that people-facing models are unbiased, fair, and explainable Operationalize ML models not only for pipeline deployment but also for external business systems that are more complex and less standardized Put the four-step Build, Manage, Deploy and Integrate, and Monitor approach into action…”

“…You will also learn how to boost your development by including popular packages developed by the React Native community that will help you write less; do more. Finally, you'll learn to how write test cases using Jest and submit your application to the App Store. …”

“…Project 2010 In Depth is the beyond-the-basics, beneath-the-surface guide for every serious Project user who wants to get more done in less time. World-renowned project management consultants QuantumPM provide specific, tested, proven solutions to the problems experienced Project users run into every day: challenges other books ignore or oversimplify. …”

“…With the concept of cloud computing using Windows Azure and the maturity of Windows Server technology, workflow services can be hosted with first-class service monitoring with less overhead from a developer’s perspective. Building workflows in a declarative fashion, and hosting them as services, is a natural way for building business logic that is tiered away from running applications that subscribe to them, therefore providing flexibility for when business processes change. …”

“…An actionable resource, Design Currency empowers you to do your job with less pushback on aesthetic decisions, encourages earlier involvement in the creation process, and makes it easier for you to justify your fees. …”

“…As organizations strive to do more with less, IBM® DB2® for Linux, UNIX, and Windows provides various built-in high availability features. …”

“…Get a better grasp of numpy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on a local or remote cluster Solve large problems while using less RAM…”