- Main
- Mathematics - Applied Mathematics
- Linear Algebra in Data Science
Linear Algebra in Data Science
Peter Zizler, Roberta La HayeHow much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for students to better understand the real-world applications of the material covered in a standard linear algebra course. Some topics covered include singular value decomposition, convolution, frequency filtering, and neural networks. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course.
Categories:
Year:
2024
Edition:
1
Publisher:
Birkhäuser @Springer
Language:
english
Pages:
202
ISBN 10:
3031549082
ISBN 13:
9783031549083
File:
PDF, 3.63 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2024
The file will be sent to your email address. It may take up to 1-5 minutes before you receive it.
The file will be sent to you via the Telegram messenger. It may take up to 1-5 minutes before you receive it.
Note: Make sure you have linked your account to Z-Library Telegram bot.
The file will be sent to your Kindle account. It may take up to 1–5 minutes before you receive it.
Please note: you need to verify every book you want to send to your Kindle. Check your mailbox for the verification email from Amazon Kindle.
Conversion to is in progress
Conversion to is failed
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- More search results
- More benefits