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  • Building Scalable Deep Learning Pipelines on AWS

    Develop, Train, and Deploy Deep Learning Models

    Series series Professional and Applied Computing (R0)
    This book is your comprehensive guide to creating powerful, end-to-end deep learning workflows on Amazon Web Services (AWS). The book explores how to integrate essential big data tools and technologies—such as PySpark, PyTorch, TensorFlow, Airflow, EC2, and S3—to streamline the development, training, and deployment of deep learning models.Starting with the importance of scaling advanced machine ... Read more

    $44.99 USD

  • Distributed Machine Learning with PySpark

    Migrating Effortlessly from Pandas and Scikit-Learn

    Series series Professional and Applied Computing (R0)
    Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning ... Read more

    $44.99 USD

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    Series series From Scratch
    How to implement LLM attention mechanisms and GPT-style transformers.In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks ... Read more

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  • Data Pipelines Pocket Reference

    Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.You'll learn common considerations and key decision points when implementing ... Read more

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  • Design Patterns for Embedded Systems in C

    An Embedded Software Engineering Toolkit

    A recent survey stated that 52% of embedded projects are late by 4-5 months. This book can help get those projects in on-time with design patterns. The author carefully takes into account the special concerns found in designing and developing embedded applications specifically concurrency, communication, speed, and memory usage. Patterns are given in UML (Unified Modeling Language) with examples ... Read more

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  • Advanced Python Programming

    Accelerate your Python programs using proven techniques and design patterns

    by Quan Nguyen ...
    Write fast, robust, and highly reusable applications using Python's internal optimization, state-of-the-art performance-benchmarking tools, and cutting-edge librariesKey FeaturesBenchmark, profile, and accelerate Python programs using optimization toolsScale applications to multiple processors with concurrent programmingMake applications robust and reusable using effective design patternsBook ... Read more

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  • Learning PySpark

    Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

    Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0Key Features\[\*\] Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0\[\*\] Develop and deploy efficient, scalable real-time Spark solutions\[\*\] Take your understanding of using Spark with Python to the next level with ... Read more

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  • OpenCL Programming Guide

    Series series OpenGL
    Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even ... Read more

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  • Java: Data Science Made Easy

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  • TensorFlow For Dummies

    Become a machine learning pro!Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts ... Read more

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    Learn Angular Fundamentals, TypeScript, Webpack, Routing, Directives, Components, Forms, and Modules with Practical Examples

    by Sukesh Marla ...
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