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User Stories Applied
34,99 € *
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Learn to build robust software that more closely meets the customer´s needs through applying the concept of user stories. A clear explanation of the most agile means of gathering software requirements Thoroughly reviewed and eagerly anticipated by the agile software development community Allows the reader to save time and resources by gathering the proper requirements BEFORE coding begins The concept of user stories has its roots as one of the main tenets of Extreme Programming. In simple terms, user stories represent an effective means of gathering requirements from the customer (roughly akin to use cases). This book describes user stories and demonstrates how they can be used to properly plan, manage, and test software development projects. The book highlights both successful and unsuccessful implementations of the concept, and provides sets of questions and exercises that drive home its main points. After absorbing the lessons in this book, readers will be able to introduce user stories in their organizations as an effective means of determining precisely what is required of a software application. Product Description Thoroughly reviewed and eagerly anticipated by the agile community, User Stories Applied offers a requirements process that saves time, eliminates rework, and leads directly to better software. The best way to build software that meets users´ needs is to begin with ´´user stories´´: simple, clear, brief descriptions of functionality that will be valuable to real users. In User Stories Applied , Mike Cohn provides you with a front-to-back blueprint for writing these user stories and weaving them into your development lifecycle. You´ll learn what makes a great user story, and what makes a bad one. You´ll discover practical ways to gather user stories, even when you can´t speak with your users. Then, once you´ve compiled your user stories, Cohn shows how to organize them, prioritize them, and use them for planning, management, and testing. User role modeling: understanding what users have in common, and where they differ Gathering stories: user interviewing, questionnaires, observation, and workshops Working with managers, trainers, salespeople and other ´´proxies´´ Writing user stories for acceptance testing Using stories to prioritize, set schedules, and estimate release costs Includes end-of-chapter practice questions and exercises User Stories Applied will be invaluable to every software developer, tester, analyst, and manager working with any agile method: XP, Scrum... or even your own home-grown approach. Features + Benefits Learn to build robust software that more closely meets the customer´s needs through applying the concept of user stories. ° A clear explanation of the most agile means of gathering software requirements ° Thoroughly reviewed and eagerly anticipated by the agile software development community ° Allows the reader to save time and resources by gathering the proper requirements BEFORE coding begins Backcover Agile requirements: discovering what your users really want. With this book, you will learn to: Flexible, quick and practical requirements that work Save time and develop better software that meets users´ needs Gathering user stories -- even when you can´t talk to users How user stories work, and how they differ from use cases, scenarios, and traditional requirements Leveraging user stories as part of planning, scheduling, estimating, and testing Ideal for Extreme Programming, Scrum, or any other agile methodology ---------------------------------------------------------------------------------------------------------- Thoroughly reviewed and eagerly anticipated by the agile community, User Stories Applied offers a requirements process that saves time, eliminates rework, and leads directly to better software. The best way to build software that meets users´ needs is to begin with user stories: simple, clear, brief descriptions of functionality that will be valuable to real users. In User Stories Applied , Mike Cohn provides you with a front-to-back blueprint for writing these user stories and weaving them into your development lifecycle. You´ll learn what makes a great user story, and what makes a bad one. You´ll discover practical ways to gather user stories, even when you can´t speak with your users. Then, once you´ve compiled your user stories, Cohn shows how to organize them, prioritize them, and use them for planning, management, and testing. User role modeling:

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Stand: 19.09.2019
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Applied Text Analysis with Python
39,99 € *
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This practical book presents a data scientist´s approach to building language-aware products with applied machine learning.

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Stand: 19.09.2019
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Handbook of Applied Cryptography
66,99 € *
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A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols; more than 200 tables and figures; more than 1,000 numbered definitions, facts, examples, notes, and remarks; and over 1,250 significant references, including brief comments on each paper. Cryptography, in particular public-key cryptography, has emerged an important discipline that is not only the subject of an enormous amount of research, but provides the foundation for information security in many applications. This title provides a treatment that introduces the practical aspects of both conventional and public-key cryptography.

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Stand: 19.09.2019
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Applied Statistics for Environmental Science wi...
119,99 € *
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Stand: 19.09.2019
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Applied Natural Language Processing with Python
23,99 € *
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Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. What You Will Learn Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms Who This Book Is For You should be at least a beginner in ML to get the most out of this text, but you needn´t feel that you need be an expert to understand the content.

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Stand: 19.09.2019
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Applied Data Analytics - Principles and Applica...
115,99 € *
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Anbieter: buecher.de
Stand: 19.09.2019
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Advanced Applied Deep Learning: Convolutional N...
34,99 € *
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Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning , you will study advanced topics on CNN and object detection using Keras and TensorFlow. Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level. What You Will Learn See how convolutional neural networks and object detection work Save weights and models on disk Pause training and restart it at a later stage Use hardware acceleration (GPUs) in your code Work with the Dataset TensorFlow abstraction and use pre-trained models and transfer learning Remove and add layers to pre-trained networks to adapt them to your specific project Apply pre-trained models such as Alexnet and VGG16 to new datasets Who This Book Is For Scientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected.

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Stand: 19.09.2019
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Applied Oracle Security: Developing Secure Data...
48,99 € *
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Publisher´s Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Cutting-edge techniques from leading Oracle security experts This Oracle Press guide demonstrates practical applications of the most compelling methods for developing secure Oracle database and middleware environments. You will find full coverage of the latest and most popular Oracle products, including Oracle Database and Audit Vaults, Oracle Application Express, and secure Business Intelligence applications. Applied Oracle Security demonstrates how to build and assemble the various Oracle technologies required to create the sophisticated applications demanded in today´s IT world. Most technical references only discuss a single product or product suite. As such, there is no roadmap to explain how to get one product, product-family, or suite to work with another. This book fills that void with respect to Oracle Middleware and Database products and the area of security.

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Stand: 19.09.2019
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