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 Hart Abgerichtet: 8 erotische Kurzgeschichten (Erotische Kurzgeschichten Sammelbände) Deutsch | 12 Jan. 2026 | ASIN: B0GGBX98Z8 | 265 Seiten | Epub | 1.13 MB Abgerichtet, gedehnt, benutzt, trainiert, verliehen, erzogen, gemolken, geteilt und zugeritten ... Abgerichtet im Melklabor Valeria ist überrascht, als ihr Mann vorschlägt, sie in einer Spezialklinik behandeln zu lassen. Dort würde man sich den ganzen Tag um sie kümmern und auf all ihre Bedürfnisse eingehen. Im Keller trainiert Als Alice aus Frustration und Trotz anfängt, ihre Höschen zu verkaufen, rät ihr ihre beste Freundin Larissa, vielleicht einmal ihren „Lieblingsprofessor" aufzusuchen, der ihr so viel beigebracht hat. Die Reitschule Der Besitzer der Reitschule hat eine ganz eigene Methode, um Amara und Linda aus der Patsche zu helfen. Denn er hat viele reiche Freunde, die ein paar ganz besondere Wünsche hegen, die sich aber meist nur unter harter Anstrengung erfüllen lassen ... Spritziger Zuchtbullenritt Als sich Inga am Zuchtbullen der drei Cowboys Cody, Bucky und „Little Joe" vergreift, ist Schluss mit lustig. Gnadenlos lassen die Jungs sie den entstandenen Schaden abarbeiten ... Die Erziehung der besten Freundin Als Amira beim Flirt mit Martas Ehemann erwischt wird, erfährt sie auf sehr eindrückliche Weise, dass ihre beste Freundin nicht nur Hunde trainieren kann, sondern dass Konditionierung ein sehr vielseitig anwendbares Hobby ist ... Milch für den Erben des Hauses Francoise nimmt eine Stelle als Dienstmädchen in Milk Manor an, einem exzentrischen Herrenhaus, in dem spezielle Regeln gelten. Kaffee für das Cremetörtchen Nicky kann die Reaktionen ihres Körpers nicht verstecken, als sie liest, was ihr Mann für sie geplant hat. Denn es sind nicht nur drei schwarze Kerle ... Es sind drei extrem große ... schwarze Kerle ... die heute auf dem Programm stehen. Zugeritten im fliegenden Wechsel Roana wird von Bodhi für ihre neuen Aufgaben angelernt, bis sie bereit ist, in seinem Geschäft so richtig abzusahnen! Denn sein Kundenstamm ist groß ...  Hard Work: Remaking the American Labor Movement By Rick Fantasia, Kim Voss 2004 | 259 Pages | ISBN: 0520240138 | PDF | 2 MB This concise overview of the labor movement in the United States focuses on why American workers have failed to develop the powerful unions that exist in other industrialized countries. Packed with valuable analysis and information, Hard Work explores historical perspectives, examines social and political policies, and brings us inside today's unions, providing an excellent introduction to labor in America. Hard Work begins with a comparison of the very different conditions that prevail for labor in the United States and in Europe. What emerges is a picture of an American labor movement forced to operate on terrain shaped by powerful corporations, a weak state, and an inhospitable judicial system. What also emerges is a picture of an American worker that has virtually disappeared from the American social imagination. Recently, however, the authors find that a new kind of unionism-one that more closely resembles a social movement-has begun to develop from the shell of the old labor movement. Looking at the cities of Los Angeles and Las Vegas they point to new practices that are being developed by innovative unions to fight corporate domination, practices that may well signal a revival of unionism and the emergence of a new social imagination in the United States. Illustrations: 5 tables  Happier, Healthier, Tastier!: 100 Recipes Under 600 Calories! by Courtney Black English | April 18, 2023 | ISBN: 0008527571 | 240 pages | MOBI | 71 Mb Best-selling author and fitness icon, Courtney Black, is back with a bigger and better cookbook to fit seamlessly into your busy lifestyle.  Hands-on Splunk on AWS: Complete guide to deploying and administering Splunk for data analysis (English Edition) by Jit Sinha English | December 30, 2024 | ISBN: 9365891094 | 570 pages | PDF | 19 Mb Description  Hands-On Tensor Processing Units for Beginners: Learn by Building, Training, and Optimizing ML Models on TPUs English | 18 Jan. 2026 | ASIN: B0GHH72CG1 | 298 pages | Epub | 339.57 KB Ever wondered how the world's fastest AI companies train massive machine learning models in minutes instead of days? Curious about what makes Google's Tensor Processing Units (TPUs) so powerful yet surprisingly accessible? This book answers those questions and shows you exactly how to use TPUs yourself, even if you're just starting your machine learning journey. Picture this You want to build and train sophisticated AI models, but GPU costs are skyrocketing and training times stretch into eternity. What if you could access enterprise-grade hardware for free through Google Colab? How would it change your projects to run models 10x faster without breaking the bank? Hands-On Tensor Processing Units for Beginners takes you from TPU confusion to confident mastery. No complicated theory or prerequisites. Just practical, project-based learning that gets results. You'll start with simple models and gradually tackle computer vision, natural language processing, and even large language models, all optimized for TPU acceleration. What makes TPUs different from GPUs? Why do they excel at specific AI workloads? How do you actually set up a TPU environment and avoid common beginner mistakes? This guide answers all these questions with clear explanations and immediate, hands-on practice. Through 10 complete end-to-end projects, you'll learn to: - Set up free TPU access through Google Colab and Google Cloud - Convert existing PyTorch and TensorFlow models for TPU optimization - Build high-performance data pipelines that maximize TPU throughput - Train CNNs for image classification at lightning speed - Fine-tune transformer models for NLP tasks on TPUs - Deploy production-ready models with TPU-optimized inference - Monitor training runs and debug TPU-specific issues - Scale from single-core TPUs to massive TPU v4 pods Are you tired of waiting hours for model training? Frustrated by cloud computing costs eating your budget? Ready to join the professionals using cutting-edge hardware? This book shows you exactly how TPUs solve these problems with practical examples you can run immediately. **Why struggle with slow training when TPUs offer free, world-class acceleration?** Imagine completing Kaggle competitions faster, prototyping ideas instantly, and building portfolio projects that impress employers. TPUs level the playing field for independent developers and researchers. Each chapter builds directly on the previous one, so you'll gain confidence progressively. Start with "Hello World" on TPUs, then advance to state-of-the-art models. Real-world datasets, complete code examples, and optimization techniques ensure you learn skills employers value. Whether you're a data science student, machine learning hobbyist, or professional developer, this guide eliminates the TPU learning curve. No more confusing documentation or expensive trial-and-error. Ready to unlock the power of Google's most advanced AI hardware? Click "Buy Now" and start training models at TPU speed today! Transform your machine learning workflow and join the TPU revolution with Hands-On Tensor Processing Units for Beginners. Your faster, smarter AI journey starts now.
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 Hands-On Software Engineering with Python: Move Beyond Basic Programming to Design, Maintain, and Deploy Extensible Python Systems, 2nd Edition by Brian Allbee English | December 23, 2025 | ISBN: 1835888011, 9781835888018 | True EPUB/PDF | 628 pages | 7.8/16.4 MB Build strong software engineering skills by applying proven design, development, testing, and deployment best practices through hands-on Python projects that reflect real-world production workflows.[/center]  Giuseppe Ciaburro, "Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes" English | ISBN: 1838985093 | 2020 | 348 pages | MOBI | 26 MB Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide  Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron English | 2025 | ASIN: B0F2SG98Q9 | 878 Pages | True PDF | 65 MB  Eyal Wirsansky, "Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems" English | ISBN: 1838557741 | 2020 | 346 pages | MOBI | 17 MB Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy  Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems English | 16 May 2025 | ASIN: B0DPFLG1ND | 778 pages | EPUB (True) | 9.70 MB Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industries Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Enhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networks Gain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automation Purchase of the print or Kindle book includes a free PDF eBook Book Description Transform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You'll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You'll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. *Email sign-up and proof of purchase required What you will learn Integrate AI and IoT for enhanced device intelligence Understand how to build scalable and efficient IoT systems Master both supervised and unsupervised machine learning techniques for processing IoT data Explore the full potential of deep learning in IoT applications Discover AI-driven strategies to optimize IoT system efficiency Implement real-world IoT projects that leverage AI capabilities Improve device performance and decision-making using AI algorithms Who this book is for This book is for IoT developers, engineers, and tech enthusiasts, particularly those with a background in Python, looking to integrate artificial intelligence and machine learning into IoT systems. Python developers eager to apply their knowledge in new, innovative ways will find it useful. It's also an invaluable guide for anyone with a foundational understanding of IoT concepts ready to take their skills to the next level and shape the future of intelligent devices. Table of Contents Principles and Foundations of IoT and AI Data Access and Distributed Processing for IoT Machine Learning for IoT Deep Learning for IoT Optimization Techniques in IoT Reinforcement Learning for IoT Generative Adversarial Networks for IoT Distributed AI for IoT AI Cloud Platforms for IoT Deep Learning for Time Series Data from IoT AI for Video and Image Data from IoT AI for Text, Audio and Speech Data from IoT AI for Personal and Home IoT AI for Industrial IoT AI for Smart Cities IoT |
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