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Category: "Data Science"

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  1. Applied Data Science for Credit Risk
    A Practical Guide in R and Python
    Andrija Djurovic

    This book provides a practical guide to critical data science methods, focusing on their application in credit risk management. Using examples in R and Python, it presents step-by-step processes for applying various analytical techniques while highlighting the importance of aligning methods with the specific characteristics of the data. Designed for practitioners and those with foundational data science and banking knowledge, the book bridges theory and practice with real-world examples.

  2. Self-Guided SQL
    Build Your SQL Skills with SQLite
    Andrew Comeau

    Unlock your SQL skills with "Self-Guided SQL: Build Your SQL Skills with SQLite"! This comprehensive book is designed for both the classroom and self-driven learners who value practice and hands-on experience. Through progressive challenges and repeated exercises, this guide helps you build a solid foundation in SQL using the powerful and popular SQLite database software. With "Self-Guided SQL", you will learn by doing, seeing SQL in action with enough explanation to help you understand what's happening behind the scenes. Every lesson moves you forward and builds on the skills you've previously gained, helping to continually reinforce them. "Self-Guided SQL" will help you take control of your your own education in these versatile and powerful technologies, ensuring that you not only understand SQL concepts but can also apply them confidently and effectively!

  3. Enterprise AI: Strategic Blueprint for Purple People
    Investing with Intent: Transforming Large Organizations Through Strategic AI Deployment
    Mahmudur R Manna

    In an era where AI's potential is clear but its path isn't, "Enterprise AI: Strategic Blueprint for Purple People" offers a compass for decision-makers. Uncover the strategic framework that aligns AI with your organization's vision and propels you toward a future of informed innovation.

  4. Enterprise Big Data Engineer
    Fundamental Approaches for Data Engineering the Creation of Data Pipelines
    Jan-Willem Middelburg

    Master the art of data engineering with Enterprise Big Data Engineer: Fundamental Approaches for Data Engineering and the Creation of Data Pipelines. This comprehensive guide dives deep into the essential skills and strategies needed to design, build, and manage scalable data systems in today's complex enterprise environments. Explore advanced techniques for batch and stream processing, develop secure and reliable data pipelines, and ensure your data's quality, security, and governance. As the official guide for the Enterprise Big Data Engineer (EBDE) certification by APMG International, this book is your ultimate resource for achieving professional excellence and propelling your career forward in the dynamic field of data engineering.

  5. Unlock the power of linear algebra in your data science projects! "Linear Algebra Essentials for Data Scientists" dives into the key concepts driving data analysis and machine learning. With clear explanations, practical Python examples, and hands-on exercises, this book is your gateway to mastering the mathematical foundations of data science.

  6. NumPy By Example
    A Beginner's Guide to Learning NumPy (updated for NumPy 2)
    DAT Linux

    The book was designed to introduce NumPy features in a structured way, with each chapter building on your knowledge incrementally. Revised and updated for NymPy 2.

  7. ਇੱਕ ਕਿਤਾਬ ਜੋ ਤੁਹਾਨੂੰ ਆਧੁਨਿਕ, ਖੁੱਲ੍ਹੇ ਸਰੋਤ ਦੇ ਤਰੀਕੇ ਨਾਲ ਵਿਗਿਆਨੀ ਬਣਨ ਦਾ ਤਰੀਕਾ ਸਿਖਾਉਂਦੀ ਹੈ।

  8. Matplotlib Unlocked
    Creating Beautiful Charts in Python
    Bhola Prasad
    No Description Available
  9. ספר על איך להיות מדען בדרך המודרנית והפתוחה.

  10. كتاب حول كيف تكون عالِمًا بالطريقة الحديثة المفتوحة المصدر.

  11. Buku tentang bagaimana menjadi seorang ilmuwan dengan cara modern, sumber terbuka.

  12. หนังสือเกี่ยวกับวิธีการเป็นนักวิทยาศาสตร์ในยุคสมัยใหม่แบบโอเพนซอร์ส

  13. आधुनिक, ओपन-सोर्स तरीके से वैज्ञानिक बनने के बारे में एक पुस्तक।

  14. Ένα βιβλίο για το πώς να είσαι επιστήμονας με τον σύγχρονο, ανοικτού κώδικα τρόπο.

  15. Một cuốn sách về cách trở thành một nhà khoa học theo cách hiện đại, mã nguồn mở.