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Data science

Data science — Страница 68

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Idiomatic Rust: Code like a Rustacean, Brenden Matthews

Idiomatic Rust: Code like a Rustacean, Brenden Matthews

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Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence, Bonny P. McClain

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Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and

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Pandas Workout: 200 exercises to make you a stronger data analyst, Reuven Lerner

Pandas Workout: 200 exercises to make you a stronger data analyst, Reuven Lerner

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Deep Learning at Scale: At the Intersection of Hardware, Software, and Data, Suneeta Mall

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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark, Mahmoud Parsian

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Elegant SciPy: The Art of Scientific Python, Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, more

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Anonymizing Health Data: Case Studies and Methods to Get You Started, Khaled El Emam, Luk Arbuckle

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Cython: A Guide for Python Programmers, Kurt Smith

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Machine Learning Pocket Reference: Working with Structured Data in Python, Matt Harrison

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Ruby Under a Microscope: An Illustrated Guide to Ruby Internals, Pat Shaughnessy

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Cloud Native Spring in Action: With Spring Boot and Kubernetes, Thomas Vitale

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Java Design Patterns: A Hands-On Experience with Real-World Examples 3rd ed. Edition, Vaskaran Sarcar

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A Self-Study Guide For The ISTQB Foundation Exam Certified Tester Foundation Level (CTFL), Chhavi Raj Dosaj

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The Pentester BluePrint: Starting a Career as an Ethical Hacker, Phillip L. Wylie, Kim Crawley

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Computer Science Distilled: Learn the Art of Solving Computational Problems, Wladston Ferreira Filho, Raimondo

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Full Stack GraphQL Applications: With React, Node.js, and Neo4j, William Lyon

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Black Hat GraphQL: Attacking Next Generation APIs, Nick Aleks, Dolev Farhi, Opheliar Chan, more

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Practical Weak Supervision: Doing More With Less Data, Wee Hyong Tok, Amit Bahree, Senja Filipi, more

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Terraform for Google Cloud Essential Guide: Learn how to provision infrastructure in Google Cloud securely and

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The Unity Shaders Bible: A linear explanation of shaders from beginner to advanced. Improve your game graphics

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Mathematics for Machine Learning, Marc Peter Deisenroth

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Requirements Writing for System Engineering, George Koelsch

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python,

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Expert Python Programming: Master Python by learning the best coding practices and advanced programming

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Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines, Barr Moses, Lior

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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling 3rd Edition, Ralph Kimball, Margy

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Efficient Linux at the Command Line: Boost Your Command-Line Skills, Daniel Barrett

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Automated Machine Learning in Action, Qingquan Song, Haifeng Jin, Xia Hu

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Modernizing Enterprise Java: A Concise Cloud Native Guide for Developers, Markus Eisele, Natale Vinto

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