- 主頁 /
- 書籍 /
- 電腦和技術 /
- 電腦科學 /
- AI & Machine Learning /
- Computer Vision & Pattern Recognition /
- Linear Algebra and Learning from Data First E...
0 ratings
商品＃:
12904979
Linear Algebra and Learning from Data First Edition
商品＃:
12904979
TWD 3561
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 美國
0 ratings
撰寫評論
有存貨
從USA商店匯入
QTY:
立即訂購並活動它 週四, 八月 13
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
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.
產品詳情
| 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.
產品描述
Linear Algebra and Learning from Data First Edition
有疑問？ 和我們聊天
客戶問答
-
問題:
What is 'Linear Algebra and Learning from Data First Edition' about?
Answer: 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. -
問題:
Who is the author of 'Linear Algebra and Learning from Data First Edition'?
Answer: 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. -
問題:
What topics are covered in 'Linear Algebra and Learning from Data First Edition'?
Answer: 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. -
問題:
Is 'Linear Algebra and Learning from Data First Edition' suitable for beginners?
Answer: 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. -
問題:
Can 'Linear Algebra and Learning from Data First Edition' be used for self-study?
Answer: 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. -
問題:
How does 'Linear Algebra and Learning from Data First Edition' relate to machine learning?
Answer: 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. -
問題:
Are there practical examples in 'Linear Algebra and Learning from Data First Edition'?
Answer: 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. -
問題:
What is the target audience for 'Linear Algebra and Learning from Data First Edition'?
Answer: 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. -
問題:
Where can I buy 'Linear Algebra and Learning from Data First Edition' in Taiwan?
Answer: 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. -
問題:
Is there a digital version of 'Linear Algebra and Learning from Data First Edition' available?
Answer: 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
未找到編輯評論
Customer Reviews & Ratings
1 客戶評價
-
5 星
100%
-
4 星
0%
-
3 星
0%
-
2 星
0%
-
1 星
0%
評論這個產品
和其他客戶分享您的想法
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
安全結帳
Global Delivery
Easy Returns
Genuine Products
Product Price History
重要資訊
- 限制：對於國際運輸的產品，請注意任何製造商保修可能無效；製造商服務選項可能不可用；產品手冊、說明和安全警告可能不是目的地國家的語言；產品（及隨附材料）的設計可能不符合目的地國家的標準、規範和標籤要求；並且產品可能不符合目的地國家的電壓和其他電氣標準（如果適用，需要使用適配器或轉換器）。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時，收件人是記錄在案的進口人，並且必須遵守目的地國家的所有法律和法規。
- 由於Ubuy是一個全球搜索引擎，因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。
TWD 3561
立即訂購並活動它 週四, 八月 13
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
特色和優勢
- 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.