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  • Mastering Employee Development
    Mastering Employee Development

    This title is designed as a clear and concise introduction to employee development.Many people, in both human resource and general management positions, have little idea of what employee development is or should be.This book addresses this specific issue, and is an essential first read for those who wish either to understand the subject in general, or develop their expertise and understanding further.

    Price: 32.99 £ | Shipping*: 0.00 £
  • Mastering Primary Design and Technology
    Mastering Primary Design and Technology

    Mastering Primary Design and Technology introduces the primary design and technology curriculum and helps trainees and teachers learn how to plan and teach inspiring lessons that make design and technology learning irresistible. Topics covered include: · Current developments in design and technology · Design and technology as an irresistible activity · Design and technology as a practical activity · Skills to develop in design and technology · Promoting curiosity · Assessing children in design and technology · Practical issues This guide includes examples of children’s work, case studies, readings to reflect upon and reflective questions that all help to exemplify what is considered to be best and most innovative practice.The book draws on the experience of a leading professional in primary design and technology, Gill Hope, to provide the essential guide to teaching design and technology for all trainee and qualified primary teachers.

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  • Mastering Java for Data Science
    Mastering Java for Data Science

    Use Java to create a diverse range of Data Science applications and bring Data Science into productionAbout This Book• An overview of modern Data Science and Machine Learning libraries available in Java• Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. • Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is ForThis book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science.Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you!What You Will Learn• Get a solid understanding of the data processing toolbox available in Java• Explore the data science ecosystem available in Java• Find out how to approach different machine learning problems with Java• Process unstructured information such as natural language text or images• Create your own search engine• Get state-of-the-art performance with XGBoost• Learn how to build deep neural networks with DeepLearning4j• Build applications that scale and process large amounts of data• Deploy data science models to production and evaluate their performanceIn DetailJava is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external.What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java.First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics.We start by going over the existing libraries for data processing and libraries with machine learning algorithms.After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. Style and approachThis is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.

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  • Mastering the Science of Organizational Change
    Mastering the Science of Organizational Change

    As the business context evolves more rapidly, driven by accelerating technological, political, and social change, an increasing strategic priority for business leaders is how to enact large-scale organizational change.Even companies that are current industry leaders are vulnerable to disruption.Company leaders need to watch over their shoulder for-and transform the company in anticipation of-the next disruption. Mastering the Science of Organizational Change summarizes the work of the BCG Henderson Institute and its fellows and ambassadors over several years to develop a more scientific approach to change.Hundreds of companies are analyzed in the book's discussion on how to beat the odds in large-scale change management using an evidence-based approach-a large-scale analysis of what approaches actually work in which circumstances. Part 1 of the book reviews the imperatives for self-disruption.The second part elaborates on how to manage the process of change.Finally, Part 3 discusses how organizations can take change to the next level.

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  • Can one make it in computer science without mastering math?

    While having a strong foundation in math can be beneficial for a career in computer science, it is possible to succeed in the field without mastering math. Many aspects of computer science, such as programming and software development, do not require advanced mathematical skills. However, certain areas of computer science, such as algorithms, machine learning, and cryptography, may require a deeper understanding of math concepts. Ultimately, success in computer science depends on a combination of problem-solving skills, logical thinking, and a willingness to continuously learn and adapt.

  • Is it possible to make a career in computer science without mastering math?

    It is possible to have a successful career in computer science without mastering advanced math. While a strong understanding of math can be beneficial in certain areas of computer science, there are many roles within the field that do not require advanced mathematical skills. For example, software development, user interface design, and project management are all areas of computer science where math may not be as crucial. However, having a basic understanding of math concepts and the ability to problem-solve is still important in computer science.

  • What is more important: Mixing or Mastering?

    Both mixing and mastering are crucial stages in the music production process, but they serve different purposes. Mixing involves balancing and blending individual tracks to create a cohesive and polished sound, while mastering focuses on enhancing the overall audio quality and preparing the final mix for distribution. Ultimately, both are equally important in achieving a professional and high-quality end result, and neglecting either stage can impact the overall sound of the music.

  • Is one practically invincible when mastering Wing Chun?

    While mastering Wing Chun can certainly provide a practitioner with a high level of skill and self-defense capabilities, it is important to remember that no martial art can make someone completely invincible. Wing Chun is effective in close combat situations and can give a practitioner an advantage in many scenarios, but it is not a guarantee of invincibility. It is always important to be aware of one's surroundings, continue training, and be prepared for any situation.

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  • Brand Management : Mastering Research, Theory and Practice
    Brand Management : Mastering Research, Theory and Practice

    Brand Management: Mastering Research, Theory and Practice is a valuable resource for those looking to understand how a brand can be conceptualized and thus managed in all its complexity.Going beyond the 'quick fixes' of branding, it offers a comprehensive overview of brand management theories from the last 35 years. A highly regarded textbook, this fully updated third edition brings fresh perspectives on the latest research in, and analysis of, the various approaches to brand management.More than 1,000 academic sources have been carefully divided into a taxonomy with eight schools of thought – offering depth, breadth and precision to one of the most elusive management disciplines of our time. Perfectly marrying theory with practice, this comprehensive text is particularly useful for advanced undergraduate and postgraduate students of brand management, strategy and marketing.

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  • Brand Management : Mastering Research, Theory and Practice
    Brand Management : Mastering Research, Theory and Practice

    Brand Management: Mastering Research, Theory and Practice is a valuable resource for those looking to understand how a brand can be conceptualized and thus managed in all its complexity.Going beyond the 'quick fixes' of branding, it offers a comprehensive overview of brand management theories from the last 35 years. A highly regarded textbook, this fully updated third edition brings fresh perspectives on the latest research in, and analysis of, the various approaches to brand management.More than 1,000 academic sources have been carefully divided into a taxonomy with eight schools of thought – offering depth, breadth and precision to one of the most elusive management disciplines of our time. Perfectly marrying theory with practice, this comprehensive text is particularly useful for advanced undergraduate and postgraduate students of brand management, strategy and marketing.

    Price: 39.99 £ | Shipping*: 0.00 £
  • Mastering Project Leadership : Insights from the Research
    Mastering Project Leadership : Insights from the Research

    This is a collection of essays from key researchers in the field of project management who describe what they feel are the most impactful findings from research.In the challenging and competitive world of project management, project managers need all the insight they can get.Leading researchers share what they believe are the most important findings from the research being done today.These cover pressing topics confronting project managers, including hybrid methodologies, schedule overruns, schedule estimation, project efficiency, and managing local stakeholders.Highlights include the following:Jeff Pinto and Kate Davis explore the “Normalization of Deviance” (NoD) phenomenon within various organizational settings, focusing on projects.NoD involves the gradual acceptance of deviant practices, diverging from established norms, and often leading to detrimental outcomes. Francesco Di Maddaloni investigates how local communities’ stakeholders are perceived, identified, and categorized by project managers in major public infrastructure and construction projects (MPIC).His chapter helps project managers to have a better understanding of a more inclusive and holistic approach to engage with a broader range of stakeholders. Lavagnon Ika, Peter Love, and Jeff Pinto suggest that error and bias combine to exact a toll on major projects, offer theoretical insights, and outline practical recommendations for project managers. Jonas Söderlund offers managerial guidelines for leveraging deadlines as powerful tools for generating project success. Pedro M. Serrador looks at empirical studies that link planning quality to project success, emphasizing its importance.He also discusses the downsides of excessive planning, particularly in dynamic environments and research and development projects.

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  • Mastering Audio : The Art and the Science
    Mastering Audio : The Art and the Science

    In an easy-to-grasp, holistic manner Mastering Audio: The Art and the Science, Third Edition unravels the technical mysteries that regularly challenge audio engineers.Including practical tips and real world experiences, Bob Katz explains the technical detail of the subject in his informative and humorous style.Completely reorganized to focus on workflow, this third edition details mastering by providing a step-by-step approach to the process.First covering practical techniques and basic theory, this industry classic also addresses advanced theory and practice.The book’s new approach is especially suitable to accompany a one- or two-term course in audio and mastering. Completely rewritten and organized to address changes that will continue to influence the audio world, this third edition includes several new chapters addressing the influence of loudness measurement and assessment and provides explanation of how mastering engineers must integrate loudness measurement and PLR assessment in their mastering techniques.Mastering Audio: The Art and the Science, Third Edition also includes the newest approaches to equalization, monitor response measurement and correction, the psychoacoustics of clipping, an extended discussion of restoration and noise reduction techniques, an extended set of listening examples, and an updated chapter on surround mastering including coverage of Pure Audio BluRay.

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  • What is the order for mixing and mastering?

    The typical order for mixing and mastering is as follows: 1. Mixing: This involves adjusting the levels, panning, and equalization of individual tracks to create a balanced and cohesive sound. 2. Editing: This step involves cleaning up any imperfections in the audio, such as removing clicks, pops, or background noise. 3. Mastering: This is the final step, where the overall tonal balance, dynamics, and loudness of the entire mix are optimized for distribution and playback on various systems. Following this order ensures that the individual tracks are mixed properly before being combined and mastered for a polished final product.

  • What is a mixdown and what does mastering mean?

    A mixdown is the process of combining all the individual tracks of a song into a stereo audio file. This involves adjusting the levels, panning, and effects of each track to create a cohesive and balanced final mix. Mastering, on the other hand, is the final step in the audio production process where the stereo mixdown is further refined and optimized for distribution. This includes enhancing the overall sound quality, adjusting the dynamics, and ensuring the audio is consistent and polished across different playback systems.

  • How can the volume be adjusted during music mastering?

    During music mastering, the volume can be adjusted using a variety of tools and techniques. One common method is using a limiter to increase the overall volume without causing distortion. Compression can also be applied to even out the dynamics of the music, allowing for a more consistent volume level. Additionally, equalization can be used to balance the frequencies and ensure that the overall sound is cohesive and well-rounded. These tools, when used effectively, can help achieve the desired volume levels during music mastering.

  • What does audio mastering mean and what does mixing mean?

    Audio mastering is the final step in the music production process where the final mix is processed and prepared for distribution. It involves balancing and enhancing the overall sound of the mix, ensuring consistency across all tracks, and optimizing the audio for different playback systems. Mixing, on the other hand, is the process of combining individual tracks together to create a cohesive and balanced sound. It involves adjusting levels, panning, and adding effects to each track to create a polished final mix.

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