GNU Octave by Example (PDF)
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Get a quick start to learn, understand, and implement GNU Octave in a math and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.
GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques.
After reading this book, you will be able to write your own programs for scientific and numerical applications.
You will:¿ Understand the practical aspects of GNU Octave with math and programming-friendly abstractions
¿ Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu¿ Work with GNU Octave using the GUI, the command line, and Jupyter notebooks
¿ Implement 2D and 3D data visualization and analysis with GNU Octave
He is also an avid YouTuber with more than 10,000 subscribers to his channel. You can find him on LinkedIn.
Sharvani Chandu holds an MS in Computer Vision from CMU and BTech in Electronics and Communication Engineering from IIIT Hyderabad. She has research experience in the areas of computer vision and machine learning. She currently works for Amazon and has also worked in Bangalore as a software engineer for a couple of years focusing on machine learning and natural language processing. During her undergraduate and graduate studies, she worked as a research intern, teaching assistant, and research assistant. She has also published research papers related to her work. She is enthusiastic about working in the areas of mathematics, computer vision, and programming.
You can find her on LinkedIn.
- Autoren: Ashwin Pajankar , Sharvani Chandu
- 2020, 1st ed, 173 Seiten, Englisch
- Verlag: APress
- ISBN-10: 1484260864
- ISBN-13: 9781484260869
- Erscheinungsdatum: 14.09.2020
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 5.52 MB
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