- Home Page /
- Books /
- Science & Math /
- Mathematics /
- Pure Mathematics /
- Algebra /
- Linear /
- Linr Algebra & Optim Appl (V1)
Item #:
68413801
Linr Algebra & Optim Appl (V1)
90% of respondents would recommend this to a friend
Item #:
68413801
€ 114
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from US
0 ratings
Write a review
In stock
Imported from USA store
QTY:
Order now and get it around Saturday, October 24
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
This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics and electrical engineering.
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 US store (110-120). Recommended power converters Buy Now.
What Stands Out
Comprehensive Approach
Integrates linear algebra and optimization techniques specifically for computer vision, robotics, and machine learning, offering a holistic understanding for effective problem-solving in these advanced fields.
Practical Applications
Focuses on real-world applications, ensuring users can apply theoretical concepts immediately in fields like AI, enhancing practical skills vital for success in technology-driven industries.
Expert Insights
Authored by experts with extensive industry experience, providing authoritative knowledge and advanced strategies that equip learners with valuable insights and cutting-edge methodologies for tackling complex challenges.
Product Details
- Provides mathematical fundamentals of linear algebra for practitioners in computer vision, machine learning, robotics, applied mathematics, and electrical engineering
- Assumes knowledge of calculus and develops mathematical theory behind concepts such as vector spaces, bases, linear maps, duality, Hermitian spaces, spectral theorems, SVD, and primary decomposition theorem
- Includes real-world applications throughout the book
- Suitable for computer scientists, engineers, and mathematicians interested in serious research and making significant contributions in their respective fields
- Covers the mathematical explanations for the tools used in the field
- Volume I focuses on linear algebra for computer vision, robotics, and machine learning
| Publisher | World Scientific Pub Co Inc |
| Publication date | February 1, 2020 |
| Language | English |
| Print length | 806 pages |
| ISBN-10 | 9811207712 |
| ISBN-13 | 978-9811207716 |
| Item Weight | 2.35 pounds (1.07 kg) |
| Dimensions | 6 x 1.5 x 9 inches (15.2 x 3.8 x 22.9 cm) |
Who Should Buy?
-
Graduate Students
Ideal for graduate students specializing in computer vision, robotics, or machine learning seeking advanced mathematical frameworks.
-
Data Scientists
Beneficial for data scientists looking to strengthen their quantitative skills and apply linear algebra in machine learning algorithms.
-
AI Researchers
Perfect for AI researchers focusing on optimization techniques within computer vision and robotics, enhancing their theoretical knowledge.
-
Beginners
Not suitable for beginners lacking foundational knowledge in linear algebra and optimization concepts, as it may feel overwhelming.
Product Description
Linr Algebra & Optim Appl (V1)
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What topics are covered in 'Linear Algebra And Optimization With Applications To Machine Learning - Volume I'?
Answer: This volume focuses on key concepts of linear algebra essential for machine learning, including vector spaces, matrices, determinants, and their applications in computer vision and robotics. It also explores optimization techniques that leverage these linear algebra concepts, highlighting their significance in training machine learning algorithms. Understanding these topics is crucial for those looking to develop advanced AI models and work in fields such as robotics where vision systems are critical. -
Question:
Who is the target audience for this book?
Answer: This book is tailored for students, researchers, and professionals in fields like data science, machine learning, robotics, and computer vision. It's particularly beneficial for those who wish to deepen their understanding of linear algebra and its practical applications in machine learning. Readers will find it valuable whether they are new to the subject or looking to enhance their existing knowledge, making it an ideal resource for both academics and industry practitioners. -
Question:
How does this book help in the application of linear algebra to machine learning?
Answer: The book serves as a bridge between theoretical concepts and practical applications by providing real-world examples and problems that demonstrate how linear algebra underpins machine learning algorithms. It delves into numerical methods and optimization strategies, illustrating how these mathematical tools are implemented in key areas like neural networks and computer vision. This practical approach equips readers with the knowledge to apply linear algebra concepts directly in their machine learning projects. -
Question:
Are there practical exercises included in the book?
Answer: Yes, 'Linear Algebra And Optimization With Applications To Machine Learning - Volume I' includes numerous practical exercises and problems at the end of each chapter. These exercises are designed to reinforce the concepts learned and encourage hands-on application. Working through these problems allows readers to solidify their understanding of linear algebra and its optimization techniques, making it a crucial part of the learning process for aspiring machine learning practitioners. -
Question:
Can this book be used as a reference for academic courses?
Answer: Absolutely, this book is suitable as a reference for undergraduate and graduate-level courses in computer science, data science, and engineering related to linear algebra and machine learning. Its structured approach makes it easy for instructors to incorporate into their curriculum, providing both theoretical insights and practical applications. Students will find it a good companion for course material, as it covers essential topics with depth and clarity. -
Question:
What makes this book different from other linear algebra books?
Answer: What sets this book apart is its specific focus on the applications of linear algebra in machine learning, computer vision, and robotics. It not only covers traditional linear algebra topics but connects them directly to modern computational challenges. This dual focus allows readers to understand the relevance of what they learn in real-world contexts, particularly in cutting-edge fields like AI and robotics, making it a unique resource in the literature. -
Question:
Is prior knowledge of linear algebra necessary before reading this book?
Answer: While prior knowledge of basic linear algebra concepts can be beneficial, it is not strictly necessary. The book starts with foundational topics and gradually advances to more complex areas. Readers with a general understanding of algebra will be able to grasp the material, although those completely new to the subject may find it helpful to review basic concepts through supplementary resources. This makes it accessible to a wider audience interested in machine learning. -
Question:
What software tools are recommended for the practical applications discussed?
Answer: The book recommends a variety of software tools for practical applications, including Python libraries such as NumPy, SciPy, and TensorFlow. These tools are indispensable for implementing algorithms discussed in the text, allowing users to work efficiently with matrices, optimize functions, and develop machine learning models. Readers can benefit from applying what they learn using these popular tools, which are widely used in industry and academia alike. -
Question:
How does this book integrate machine learning concepts with linear algebra?
Answer: The integration of machine learning concepts with linear algebra is critical in this book. Each chapter relates fundamental linear algebra principles to specific machine learning algorithms, such as support vector machines and neural networks. By understanding the mathematics behind these algorithms, readers can improve their problem-solving skills in machine learning and apply theoretical knowledge to enhance algorithm performance in real-world applications. -
Question:
Where can I buy 'Linear Algebra And Optimization With Applications To Machine Learning - Volume I' in Guadeloupe?
Answer: You can buy 'Linear Algebra And Optimization With Applications To Machine Learning - Volume I' from Ubuy in Guadeloupe. Ubuy offers a wide range of products, including educational materials like this book, ensuring you can easily obtain it for your studies. With a user-friendly platform, Ubuy makes it convenient to browse and purchase the latest titles in linear algebra and machine learning.
Linear Editorial Review
Linr Algebra & Optim Appl (V1) is an extensive 806-page publication by World Scientific Pub Co Inc, published on February 1, 2020. This comprehensive book delves into the fundamental concepts and applications of linear algebra and optimization. With a weight of 2.35 pounds, it is robust yet manageable, making it suitable for academic use or self-study. Many readers appreciate its thorough explanations and organized structure, making complex topics more accessible. This title stands out not only for its in-depth content but also for its practical approach to applications in various fields, enhancing the learning experience for students and professionals alike.
Customer Reviews & Ratings
1 customers ratings
-
5 Star
100%
-
4 Star
0%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Comprehensive coverage of linear algebra concepts
- Ideal for both students and professionals
- Practical applications enhance learning
- Well-organized structure for easy navigation
- Thorough explanations simplify complex topics
Cons
- A bit heavy for casual reading
Platform Trust & Buyer Confidence
JK
Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Verified buyer
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
H
Hazel
Verified buyer
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
AC
Adele
Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
Secure Checkout
Global Delivery
Easy Returns
Genuine Products
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
€ 114
Order now and get it around Saturday, October 24
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
Features & Benefits
- Develop mathematical fundamentals of linear algebra for computer learning and vision
- Pertinent real-world applications provided
- Suitable for computer scientists, engineers and mathematicians who want to make significant contributions in their fields
- Mathematical explanations for the tools used are included
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.