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  1. 1

    Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems / by Kleppmann, Martin

    Published 2017
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  2. 2

    iOS 12 programming fundamentals with Swift : Swift, Xcode, and Cocoa basics / by Neuburg, Matt

    Published 2017
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  3. 3

    TinyML : machine learning with tensorFlow Lite on arduino and ultra-low-power microcontrollers/ by Warden, Pete

    Published 2020
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  4. 4

    Programming computer vision with python/ by Solem, Jan Erik

    Published 2012
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  5. 5

    AI and machine learning for coders : a programmer’s guide to artificial intelligence/ by Moroney, Laurence

    Published 2021
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  6. 6

    Practical time series analysis : prediction with statistics and machine learning/ by Nielsen, Aileen

    Published 2020
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  7. 7
  8. 8

    Practical natural language processing : Comprehensive guide to building real-world NLP systems / by Vajjala, Sowmya

    Published 2020
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  9. 9

    Natural language processing with transformers : Building language applications with hugging face / by Tunstall, Lewis

    Published 2022
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  10. 10

    Web scraping with Python : Data extraction from the modern web / by Mitchell, Ryan

    Published 2024
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  11. 11

    AI at the edge : Solving real-world problems with embedded machine learning / by Situnayake, Daniel

    Published 2023
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  12. 12

    Machine learning design patterns : Solutions to common challenges in data preparation, model building, and MLOps / by Lakshmanan, Valliappa

    Published 2020
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  13. 13

    Designing Machine Learning Systems. by Huyen, Chip

    Published 2022
    “…O'Reilly Media, Incorporated,…”
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  14. 14

    Natural Language Processing with Transformers, Revised Edition. by Tunstall, Lewis

    Published 2022
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