julia programming data science von lucas oliver (10 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - Julia Programming for Data Science: A Beginner-Friendly Approach.

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Paperback. Zustand: new. Paperback. Julia Programming for Data Science: A Beginner-Friendly ApproachEmbark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.What you'll learn: Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.Why choose this book?Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.Unlock the power of Julia and become a proficient data scientist. Start your journey today! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Julia Programming for Data Science: A Beginner-Friendly ApproachEmbark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.What you'll learn: Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.Why choose this book?Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.Unlock the power of Julia and become a proficient data scientist. Start your journey today! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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