Overstock Deal Big R-book: From Data Science To Learning Machines And Big Data Device [OrugaUHM]

Big R-Book: Comprehensive Guide to Data Science and Machine Learning

The Big R-Book is a groundbreaking resource designed for professionals and scientists seeking to master the art of data science and machine learning. Written by practitioners for practitioners, this comprehensive guide offers an in-depth introduction to the R programming language, making it an essential tool for data scientists and analysts. With a focus on practical application and business use, this book covers a wide array of topics, including big data, databases, statistical machine learning, data wrangling, data visualization, and result reporting.

• Comprehensive Coverage: From big data to machine learning, this book covers all aspects of data science in a single volume.
• Hands-On Approach: Emphasizes practicality and business applications, making it ideal for professionals and students alike.

Expertly Crafted Content and Structure

The Big R-Book is structured into nine parts, each building upon the previous one to provide a seamless learning experience. Starting with an introduction to the subject and an overview of R and statistics, the book delves into data, data wrangling, data exploration, model building, company realities, reporting, and interactive applications. Finally, it introduces big data and performance computing. The book also includes helpful appendices for further reference.

• Coherent Framework: Integrates multiple topics in a structured and coherent manner.
• Practical Tone: Written in a clear, concise style that is easy to follow and understand.

Practical Applications and Target Audience

The Big R-Book is an invaluable guide for anyone looking to transition into the field of data science or enhance their existing skills. Whether you are a science, technology, engineering, or mathematics student, a young data scientist, a quantitative analyst, or an analytics professional, this book will equip you with the knowledge and tools needed to succeed. It demystifies the hype around machine learning and AI by providing real-world examples and enabling you to program models in R. Additionally, the book shows you how to visualize results in static and interactive reports, making it an essential resource for anyone in the data science field.

• Target Audience: Ideal for students, data scientists, quantitative analysts, and analytics professionals.
• Practical Use: Equips readers with practical skills for real-world data science applications.