- Գլխավոր Էջ /
- Գրքեր /
- Համակարգիչներ և տեխնոլոգիա /
- Ինֆորմատիկա /
- AI & Machine Learning /
- Computer Vision & Pattern Recognition /
- Linear Algebra and Learning from Data
0 ratings
ապրանք#:
12904979
Linear Algebra and Learning from Data
ապրանք#:
12904979
AMD 41706
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from ԱՄՆ
0 ratings
Գրել կարծիք
Պահեստում
Ներմուծվել է USA խանութից
Պատվիրի`ր հիմա և ստացի`ր Sunday, Օգոստոս 09
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Linear algebra and the foundations of deep learning, together at last!
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of ԱՄՆ store (110-120). Recommended power converters Գնեք հիմա.
What Stands Out
Comprehensive Coverage
This book integrates linear algebra with modern data science, offering a thorough exploration that bridges theory and practical applications for students and professionals alike.
Accessible Learning
Designed for readers at all levels, it presents complex concepts in a clear manner, making advanced topics in linear algebra and data analysis approachable.
Real-World Applications
By emphasizing real-world examples, the text equips readers with the necessary tools to apply linear algebra techniques to machine learning and data-driven fields.
Ապրանքի մանրամասերը
| Publisher | Wellesley-Cambridge Press |
| Publication date | January 31, 2019 |
| Edition | First Edition |
| Language | English |
| Print length | 446 pages |
| ISBN-10 | 0692196382 |
| ISBN-13 | 978-0692196380 |
| Item Weight | 2.05 pounds (930 grams) |
| Reading age | 18 years and up |
| Dimensions | 7.72 x 0.98 x 9.53 inches (19.6 x 2.5 x 24.2 cm) |
Who Should Buy?
-
Engineering Students
Ideal for engineering students who require a strong foundation in linear algebra for applied technical courses.
-
Data Scientists
Useful for data scientists looking to understand linear algebra concepts applied in machine learning and data analysis.
-
Graduate Researchers
Beneficial for graduate researchers needing to apply linear algebra techniques in their thesis or research projects.
-
Beginner Learners
Not suitable for absolute beginners who have no prior knowledge of mathematics or linear algebra concepts.
ԱՊՐԱՆՔՆԵՐԻ ՆԿԱՐԱԳՐՈՒԹՅՈՒՆ
Linear Algebra and Learning from Data
Ունե՞ք հարցեր: Զրուցեք մեզ հետ
Հաճախորդների հարցեր և պատասխաններ
-
Հարց:
What is 'Linear Algebra and Learning from Data First Edition' about?
Պատասխան: This book merges linear algebra concepts with practical data learning applications. It focuses on how linear algebra can be used as a foundational tool for understanding machine learning algorithms and concepts. By exploring topics like matrix operations, eigenvalues, and more, readers can grasp how these mathematical principles drive algorithms used in data science today. The integration of theoretical frameworks with practical examples makes it a valuable resource for students and professionals alike. -
Հարց:
Who is the author of 'Linear Algebra and Learning from Data First Edition'?
Պատասխան: The author of this insightful text is Gilbert Strang, a renowned mathematician and professor at MIT. His expertise in linear algebra and its application to data science shines throughout the book. Strang’s teaching methods are reflected in the clear explanations and real-world applications presented in the text, making complex topics accessible. His work is highly respected in the academic community, ensuring readers benefit from a well-grounded approach to both theory and practice. -
Հարց:
What topics are covered in 'Linear Algebra and Learning from Data First Edition'?
Պատասխան: The book covers a wide array of topics that include fundamentals of linear algebra, dimensionality reduction techniques, optimization methods, and the interplay between statistical learning and linear algebra. Each topic is tailored to bridge the gap between theory and practical usage in data-driven technologies. Readers can expect to gain insights into how linear algebra facilitates machine learning processes, providing a comprehensive understanding beneficial for both academic and industry applications. -
Հարց:
Is 'Linear Algebra and Learning from Data First Edition' suitable for beginners?
Պատասխան: Yes, this book caters to both newcomers and those with a foundational understanding of mathematics. It starts with fundamental principles before advancing to complex applications, making it approachable for beginners. The clear explanations, supported by examples, help demystify challenging concepts. For students interested in machine learning, this text serves as a crucial stepping stone to more advanced studies in data science and analytics. -
Հարց:
Can 'Linear Algebra and Learning from Data First Edition' be used for self-study?
Պատասխան: Absolutely! This book is well-structured for self-study. Each chapter includes exercises and examples that encourage readers to practice and apply the concepts learned. The logical progression from basic to advanced topics makes it easier for readers to track their understanding. Whether you’re preparing for academic courses or simply looking to enhance your data analytic skills, this text provides a robust framework for independent learning. -
Հարց:
How does 'Linear Algebra and Learning from Data First Edition' relate to machine learning?
Պատասխան: Linear algebra is at the core of many machine learning algorithms, and this book highlights those connections. It explains how concepts like vector spaces and transformations impact data processing and model performance. Understanding this relationship equips readers with essential knowledge to implement algorithms effectively. This text can serve both as a reference and a guide to those looking to implement machine learning techniques in their projects. -
Հարց:
Are there practical examples in 'Linear Algebra and Learning from Data First Edition'?
Պատասխան: Yes, the book is rich with practical examples that illustrate how linear algebra is applied in real-world scenarios. From analyzing data sets to running experiments with algorithms, the author integrates examples that reflect actual challenges faced in data science. These cases not only enhance understanding but also inspire readers to explore how they might apply similar techniques in their own work. -
Հարց:
What is the target audience for 'Linear Algebra and Learning from Data First Edition'?
Պատասխան: The target audience includes undergraduate and graduate students in mathematics, computer science, and engineering, as well as professionals engaged in data science and machine learning. The blend of theory and practical applications makes it suitable for both academic study and professional development. Its accessible approach ensures that anyone interested in the intersection of linear algebra and data should find value in this comprehensive resource. -
Հարց:
Where can I buy 'Linear Algebra and Learning from Data First Edition' in Armenia?
Պատասխան: You can purchase 'Linear Algebra and Learning from Data First Edition' from Ubuy, which provides a reliable platform for acquiring a variety of educational materials. Ubuy caters to a broad audience and often offers additional information on the product, ensuring that you make an informed decision before your purchase. Explore their selection today to find the book you need. -
Հարց:
Is there a digital version of 'Linear Algebra and Learning from Data First Edition' available?
Պատասխան: Yes, a digital version is typically available for readers who prefer eBooks. The digital format presents the same content as the print version but offers advantages like portability and accessibility on various devices. This makes it convenient for those who want to study on the go or for readers who prefer interactive features found in eBooks. Check major eBook platforms for availability.
Computer Vision & Pattern Recognition Editorial Review
"Linear Algebra and Learning from Data", written by renowned mathematician Gilbert Strang, promises to provide a solid link between linear algebra and statistical modeling. However, the book seems to have divided opinions among customers. While some customers praised the content of the book and found it to be an excellent resource for brushing up on linear algebra, others were disappointed with the overall quality. One reviewer mentioned that the Kindle formatting made the book unintelligible, while another criticized the printing quality, claiming it appeared to be a poorly printed PDF. Additionally, a customer who had taken Strang's linear algebra course in the past and purchased several of his earlier books described this particular book as disjointed, disorganized, repetitious, and unreadable. They suspected that the positive ratings were due to respect for Strang rather than the book's actual quality. Despite the mixed reviews, there were a few positive aspects highlighted by customers. Some praised the book's coverage of Principal Component Analysis and its high-level overview of Fast Fourier Transformation. The book was also noted to have a collection of applications of linear algebra, making it a valuable resource in that regard. Overall, it seems that the customer experience with "Linear Algebra and Learning from Data" is somewhat polarized. While some found it to be a helpful refresher and appreciated Strang's pedagogy, others were disappointed with the formatting, printing quality, and overall organization of the book.
Customer Reviews & Ratings
1 Հաճախորդների գնահատումներ
-
5 սստղ
100%
-
4 սստղ
0%
-
3 սստղ
0%
-
2 սստղ
0%
-
1 սստղ
0%
Վերանայել այս ապրանքը
Կիսվեք մտքերով այլ հաճախորդների հետ
Կողմ
- Excellent coverage of Principal Component Analysis
- Provides a high-level overview of Fast Fourier Transformation
- Includes a collection of applications of linear algebra
Դեմ
- Kindle formatting made the book unintelligible
Platform Trust & Buyer Confidence
MA
Mohammad
Verified buyer
“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”
23 July 2026 · via Trustpilot
CK
Chitra
Verified buyer
“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”
22-Jul-26 · via Trustpilot
K
kund
Verified buyer
“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”
23-Jul-26 · via Trustpilot
OO
Onesi
Verified buyer
“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”
22 July 2026 · via Trustpilot
SJ
SAO JOHN
Verified buyer
“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”
23 July 2026 · via Trustpilot
Ապահով վճարում
Global Delivery
Easy Returns
Genuine Products
Product Price History
Կարևոր տեղեկատվություն
- Սահմանափակումներ։ Միջազգային առաքման ենթակա ապրանքների երաշխիքը կարող է չգործել առաքվող երկրում, արտադրողի սպասարկման ծառայությունները կարող են անհասանելի լինել տվյալ երկրում, արտադրանքի ձեռնարկները, հրահանգները և անվտանգության նախազգուշացումները կարող են չլինել առաքվող երկրի լեզվով. ապրանքները (և ուղեկցող նյութերը) կարող են նախագծված չլինել առաքվող երկրի չափանիշներին, տեխնիկական պայմաններին և պիտակավորման պահանջներին համապատասխան. և արտադրանքը կարող է չհամապատասխանել տվյալ երկրի լարման և էլեկտրական այլ չափանիշներին (անհրաժեշտության դեպքում պահանջվում է ադապտեր կամ փոխարկիչ): Ստացողը պատասխանատու է երաշխավորելու, որ ապրանքը կարող է օրինական կերպով ներմուծվել տվյալ երկիր: Երբ պատվեր եք կատարում Ubuy-ից կամ նրա դուստր ձեռնարկություններից, ներմուծողն է պատասխանատու թղթաբանության համար և պետք է հոգա, որ այն համապատասխանի առաքվող երկրի բոլոր օրենքներին և կանոններին:
- Ubuy-ում նշված ոչ բոլոր ապրանքներն են վաճառվում, քանի որ Ubuy-ը գլոբալ որոնման համակարգ է: Ապրանքները ենթակա են արտահանման/առևտրի կանոնակարգերի:
AMD 41706
Պատվիրի`ր հիմա և ստացի`ր Sunday, Օգոստոս 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Հատկություններ և առավելություններ
- Combines linear algebra and deep learning in one textbook
- Covers the fundamental subspaces and singular value decompositions
- Includes topics like large matrix computation techniques and compressed sensing
- Addresses probability, statistics, and optimization for learning from data
- Provides insights into the architecture of neural nets and stochastic gradient descent
- Ideal for students looking to understand and apply deep learning concepts
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.