Books > Subjects > Computers & Technology > Databases & Big Data > Data Processing
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Build a Large Language Model (From Scratch)
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Code: The Hidden Language of Computer Hardware and Software
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
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Database Internals: A Deep Dive into How Distributed Data Systems Work
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Build a Reasoning Model (From Scratch)
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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