SKU/Artículo: AMZ-B0DL86R7S4

Julia Programming For Data Science : A Beginner-Friendly Approach (Mastering Julia: From Novice to Expert Book 1)

Format:

Kindle

Kindle

Paperback

Detalles del producto
Disponibilidad:
Fuera de stock
Peso con empaque:
0.94 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • 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!

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