Practical linear algebra for data science : (Record no. 91809)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02179nam a22001697a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240207b2022 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789355422187 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 512.5 COH-M |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Cohen, Mike X |
| 245 ## - TITLE STATEMENT | |
| Title | Practical linear algebra for data science : |
| Remainder of title | from core concepts to applications using python / |
| Statement of responsibility, etc. | Mike X Cohen |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Shroff Publishers |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 311p. |
| 500 ## - GENERAL NOTE | |
| General note | An introductory text to linear algebra for undergraduates in data science, statistics, computer sciences, economics and engineering. Presents the essentials in mathematical rigor while also providing intuition behind the results. Discusses the applications of linear algebra to data science along the way"-- Provided by publisher.<br/>If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.<br/><br/>This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.<br/><br/>Ideal for practitioners and students using computer technology and algorithms, this book introduces you to:<br/><br/>The interpretations and applications of vectors and matrices<br/>Matrix arithmetic (various multiplications and transformations)<br/>Independence, rank, and inverses<br/>Important decompositions used in applied linear algebra (including LU and QR)<br/>Eigendecomposition and singular value decomposition<br/>Applications including least-squares model fitting and principal components analysis<br/> Read less |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Algebras, Linear. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data--Mathematics. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematical statistics. |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Checked out | Date last seen | Date last checked out | Price effective from | Koha item type |
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| Dewey Decimal Classification | 510 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 07/02/2024 | 3 | 512.5 COH-M | 47625 | 08/09/2025 | 12/03/2025 | 12/03/2025 | 07/02/2024 | Books |