- 홈페이지 /
- 서적 /
- Science & Math /
- Mathematics /
- Pure Mathematics /
- Algebra /
- Linear /
- Practical Linear Algebra for Data Science: Fr...
0 ratings
제품번호 #:
74233356
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
제품번호 #:
74233356
KRW 95748
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 미국
0 ratings
리뷰 작성
재고
USA 스토어에서 가져옴
지금 주문하시면 도착 예정일 Monday, 8월 10
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
If you want to work in any computational or technical field, you need to understand linear algebra.
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 미국 store (110-120). Recommended power converters 지금 구매.
What Stands Out
Comprehensive Coverage
This book delivers complete insights into linear algebra tailored for data science, ensuring readers grasp both theory and practical applications, making it invaluable for aspiring data scientists and Python developers.
Python Integration
By integrating Python throughout the content, readers can directly apply linear algebra concepts in real-world data science projects, enhancing their programming skills while learning essential mathematical methods.
User-Friendly Approach
The book employs clear explanations and practical examples, making complex concepts accessible to beginners and professionals alike, offering a balanced pathway from foundational skills to advanced analytics.
제품 세부 정보
| Publisher | O'Reilly Media |
| Publication date | October 11, 2022 |
| Edition | 1st |
| Language | English |
| Print length | 326 pages |
| ISBN-10 | 1098120612 |
| ISBN-13 | 978-1098120610 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 0.5 x 9.25 inches (17.8 x 1.3 x 23.5 cm) |
Who Should Buy?
-
Data Science Students
Ideal for students learning data science who need foundational knowledge of linear algebra concepts applied in Python.
-
Professionals Transitioning
Great for professionals shifting to data roles needing practical linear algebra applications for real-world data challenges.
-
Python Enthusiasts
Beneficial for those proficient in Python wanting to deepen their understanding of linear algebra for data analysis.
-
Beginners in Math
Not suitable for complete beginners in mathematics who lack foundational knowledge and are unfamiliar with algebra.
제품 설명
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
질문이 있으십니까? 채팅하기
고객 질문 및 답변
-
의문:
What topics are covered in 'Practical Linear Algebra for Data Science'?
답변: This book covers a range of essential topics including vector spaces, matrix operations, eigenvalues, and dimensionality reduction techniques such as PCA. Each concept is tied to real-world applications in data science, illustrating how linear algebra underpins tasks like data transformation and feature extraction, making it highly relevant for professionals and students. For instance, understanding eigenvectors is crucial for implementing algorithms in machine learning. -
의문:
Is this book suitable for beginners in data science?
답변: Yes, 'Practical Linear Algebra for Data Science' is tailored to both beginners and those with some background in mathematics. It starts with foundational concepts in linear algebra and progressively introduces complexities, making it digestible for newcomers. For example, practical examples help bridge theory and application, allowing readers to apply linear algebra concepts immediately in projects involving data manipulation or machine learning. -
의문:
Does this book include practical Python examples?
답변: Absolutely! The book incorporates Python programming throughout, encouraging readers to implement linear algebra methods using popular libraries like NumPy and pandas. This hands-on approach solidifies understanding by allowing users to execute the mathematical concepts in code. Readers can expect to engage in coding exercises that simulate real-world data scenarios, making the learning experience more dynamic. -
의문:
Who is the author of 'Practical Linear Algebra for Data Science'?
답변: The book is authored by a notable expert in the field of data science, who has extensive experience teaching and applying mathematical concepts to data analytics. The author combines theoretical knowledge with practical insights, ensuring that readers gain a comprehensive understanding of linear algebra and its applications in data science. This expertise is reflected in the clarity and depth of the content, making it valuable for aspiring data professionals. -
의문:
Can this book help with preparing for data science interviews?
답변: Yes, this book is an excellent resource for interview preparation in data science roles. The concepts covered, such as linear transformations and matrix decompositions, are often explored during technical interviews. By mastering these topics, readers can confidently explain their relevance in data analysis and machine learning, providing a competitive edge. Practicing the book’s examples can enrich one’s ability to tackle practical problems posed by interviewers. -
의문:
What makes this book different from other linear algebra books?
답변: What sets 'Practical Linear Algebra for Data Science' apart is its focus on practical application specifically within the realm of data science. Unlike traditional textbooks, this resource emphasizes relevant scenarios that a data scientist might encounter, linking theoretical concepts directly to industry practices. By incorporating examples from actual data science projects, it prepares readers for real-world challenges effectively. -
의문:
Is there a companion website or resources for this book?
답변: Yes, the book typically comes with access to supplementary online resources, including code examples and exercises that reinforce the material. These resources can enhance the learning experience, providing interactive platforms for readers to practice their skills in Python. This approach allows users to experiment with code and visualize linear algebra concepts in a more engaging way. -
의문:
What prerequisites are necessary for reading this book?
답변: While specific prerequisites are not strictly required, a basic understanding of mathematics, particularly calculus and algebra, will be beneficial. Familiarity with Python programming is also a plus, as it aids in grasping the examples provided. For those new to coding or mathematics, supplementary materials or beginner courses on these subjects can help build a solid foundation before diving into the book. -
의문:
How can this book be beneficial for data visualization tasks?
답변: The book explores how linear algebra contributes significantly to data visualization techniques, such as reducing dimensions to present multi-dimensional data effectively. Concepts like singular value decomposition enhance the reader’s ability to visualize large datasets through plots, making patterns more recognizable. These practical applications can improve one’s ability to communicate insights visually, a key skill in data-centric roles. -
의문:
Where can I buy 'Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python 1st Edition' in South Korea?
답변: You can purchase 'Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python 1st Edition' from Ubuy in South Korea. Ubuy is a reputable online retailer that specializes in providing a diverse range of products, including educational materials. They offer a seamless shopping experience, ensuring that you receive the latest editions of essential books for your learning and professional development needs.
Linear Editorial Review
In a review of the book "Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python 1st Edition", readers found the material engaging and enjoyable to read. They appreciated the author's conversational tone and repetition of concepts, which was helpful for beginners and intermediates. The use of paired visual graphs and code exercises effectively conveyed the core concepts of linear algebra for data science. However, some readers expressed difficulty following the equations on Kindle devices, citing formatting issues with formulas and limited code exercises for practical application. Despite these drawbacks, the majority of readers still found the content to be informative and recommended the book for its valuable insights.
Customer Reviews & Ratings
1 고객 평가
-
5 점
100%
-
4 점
0%
-
3 점
0%
-
2 점
0%
-
1 점
0%
이 제품 리뷰하기
다른 고객들과 의견을 공유하세요.
장점
- Engaging and conversational tone
- Repetition of concepts for reinforcement
- Use of visual graphs and code exercises for learning core concepts
단점
- Limited practical code exercises for hands-on application
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
보안 결제
Global Delivery
Easy Returns
Genuine Products
Product Price History
중요 정보
- 제한 사항: 국제 배송되는 제품의 경우 제조업체 보증이 유효하지 않을 수 있으며, 제조업체 서비스 옵션을 사용하지 못하거나 제품 설명서, 지침 및 안전 경고가 대상 국가 언어로 표시되지 않을 수 있으며, 제품(및 첨부 자료)은 도착 국가 표준, 사양 및 라벨링 요구 사항에 따라 설계되지 않을 수 있으며, 제품은 목적지 국가 전압 및 기타 전기 표준을 준수하지 않을 수 있습니다(가능한 경우 어댑터 또는 변환기 사용 필요). 수령인은 제품을 도착 국가로 합법적으로 수입할 수 있는지 확인할 책임이 있습니다. Ubuy 또는 그 제휴사에서 주문할 때, 수령인은 기록 수입자로서 도착 국가의 모든 법률과 규정을 준수해야 합니다.
- Ubuy는 글로벌 검색 엔진이므로 Ubuy에 나열된 모든 제품이 판매용은 아닙니다. 제품은 수출/무역 규정을 따릅니다.
KRW 95748
지금 주문하시면 도착 예정일 Monday, 8월 10
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
특징 및 장점
- Modern linear algebra is essential for understanding algorithms and procedures.
- The book focuses on developing a geometric intuition for matrices, vectors, and operations, and implementing linear algebra concepts in Python code.
- It is designed for self-studying learners and individuals who want to apply linear algebra in real-world applications.
- The traditional linear algebra textbooks are criticized for being less relevant to practical implementations in computers.
- The book is suitable for those with a technical background needing to learn how to implement linear algebra in code.
- It is also suitable for individuals who didn't study math at university but now realize the importance of linear algebra for their studies or work.
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.