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The intention is to guide the reader through the R landscape of 2023 and beyond. The second edition contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity.
This book focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.
Software Design by Example: A Tool-Based Introduction with Python builds small versions of the things programmers use in order to give... Læs mere
Software Design by Example: A Tool-Based Introduction with Python builds small versions of the things programmers use in order to give... Læs mere
This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.
With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work.
This textbook introduces formal languages and automata theory for upper-level undergraduate or beginning... Læs mere
This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning.