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Showing 1 - 12 of 12 results for “rayaan”
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  • Modern Artificial Intelligence and Data Science

    A.I., #1

    by rayaan, Abdellah Idrissi ...
    Series Book 1 - A.I.
    Artificial Intelligence (AI) is often all over the news these last few years. Some fearthat AI is getting so advanced that people will start losing their jobs and their habits.In fact, one area humans will always be better at is emotional intelligence. Computerscan't be emotional, but they can trick us into believing they are.Yes, we can say that AI is breaking records lately on all fronts. Its ... Read more

    $9.00 USD or Free with Kobo Plus

  • Designing deep learning systems

    Software engineering, #1

    by rayaan, Chi Wang ...
    Series Book 1 - Software engineering
    "Designing deep learning system"is a cuticle resource that addresses the gap in knowledge regarding the efficient bridging of the deep learning research and prototype with production operation. the book is authored by experience deep learning engineering leaders, chi and Donald, who provide valuable insights a guidance for both junior and seasoned engineers.the book begins with an overview of deep ... Read more

    $4.00 USD or Free with Kobo Plus

  • Applied Machine Learning Solutions with Python

    SOLUTIONS FOR PYTHON, #1

    by rayaan, Siddhanta Bhatta ...
    Series Book 1 - SOLUTIONS FOR PYTHON
    Welcome to the world of practical machine learning! "Applied Machine Learning Solutions with Python" is your comprehensive guide to building and deploying real-world machine learning applications using the Python programming language. Whether you're an aspiring data scientist or a seasoned practitioner, this book is your key to unlocking the potential of machine learning in a hands-on, results ... Read more

    $6.50 USD or Free with Kobo Plus

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  • Document Management - Simple Steps to Win, Insights and Opportunities for Maxing Out Success

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  • Site Reliability Engineering

    How Google Runs Production Systems

    by Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff ...
    The overwhelming majority of a software systemâ??s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?In this collection of essays and articles, key members of Googleâ??s Site Reliability Team explain how and why their commitment to the entire ... Read more

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  • Design Systems

    by Alla Kholmatova ...
    As the web continues to become more complex, designing static pages has become untenable, so that many of us have started to approach design in a more systematic way. In this book, Alla Kholmatova sets out to identify what makes an effective design system that can empower teams to create great digital products. Not all design systems are equally effective. Some can generate coherent user ... Read more

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  • Planning for Big Data

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    In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative.As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies ... Read more

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  • Hypothesis-Driven Development

    A Guide to Smarter Product Management

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  • The Missing README

    A Guide for the New Software Engineer

    by Dmitriy Ryaboy, Chris Riccomini ...
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  • Continuous Integration

    Improving Software Quality and Reducing Risk

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    For any software developer who has spent days in “integration hell,” cobbling together myriad software components, Continuous Integration: Improving Software Quality and Reducing Risk illustrates how to transform integration from a necessary evil into an everyday part of the development process. The key, as the authors show, is to integrate regularly and often using continuous integration (CI) ... Read more

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  • Testing the Data Warehouse Practicum

    Assuring Data Content, Data Structures and Quality

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    The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the ... Read more

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