What topics are covered in 'Linear Algebra and Optimization for Machine Learning'?

This textbook explores a breadth of essential topics including matrix theory, vector spaces, optimization techniques, and their applications in machine learning. It bridges theoretical concepts with practical implementations, offering insights into supervised and unsupervised learning algorithms. Readers will gain a solid foundation in understanding how linear algebra and optimization work together to solve complex problems in machine learning, making it an invaluable resource for both students and professionals aiming to enhance their quantitative skills.

Who is the target audience for this textbook?

The primary audience includes undergraduate and graduate students in computer science, data science, and applied mathematics, along with professionals seeking to solidify their knowledge in machine learning. It’s designed to cater to those with a foundational understanding of linear algebra and calculus, making it accessible yet challenging enough to encourage mastery of advanced concepts. Anyone aiming to enhance their proficiency in machine learning methodologies will find this textbook particularly beneficial for practical and theoretical applications.

Is there any prerequisite knowledge needed before reading this textbook?

Yes, a basic understanding of linear algebra, calculus, and introductory machine learning concepts is recommended to fully grasp the material presented in the textbook. Familiarity with mathematical proofs and programming can also be beneficial for implementing the algorithms discussed. This prior knowledge helps in engaging with the complex optimization strategies and mathematical models effectively, ensuring that readers can follow along and apply the concepts in real-world scenarios.

How can this textbook benefit machine learning practitioners?

For machine learning practitioners, this textbook serves as a crucial resource to deepen their understanding of foundational mathematical concepts that underpin many algorithms. By mastering linear algebra and optimization strategies, practitioners can enhance their ability to develop and fine-tune machine learning models, leading to more effective and efficient solutions. This knowledge directly impacts their capability to solve complex problems, ultimately contributing to better project outcomes and innovation in their work.

Are there practical exercises included in the textbook?

Yes, the textbook includes a variety of practical exercises and examples that complement theoretical discussions. These exercises are designed to reinforce learning by allowing readers to apply concepts in realistic scenarios, such as implementing algorithms in Python or MATLAB. Engaging with these practical tasks helps solidify understanding and provides insights into the problem-solving processes used in industry settings, making it a hands-on learning experience.

What makes this textbook different from other resources?

'Linear Algebra and Optimization for Machine Learning' stands out due to its comprehensive approach that combines theoretical insights with practical applications. It presents concepts in a clear, engaging manner while delving deeply into the math that drives machine learning. Unlike many generic resources, this textbook specifically targets the intersection of linear algebra and optimization, catering to the unique needs of those interested in machine learning, thereby ensuring a focused study experience.

Are there additional resources available for deeper learning?

Alongside the textbook, supplementary materials such as lecture notes, online courses, and coding tutorials are often recommended to enhance learning. These resources provide opportunities for further exploration of the topics covered and help to solidify understanding through various formats such as videos and interactive exercises. By leveraging these additional materials, learners can achieve a more profound grasp of complex topics and stay up-to-date with the latest developments in machine learning.

Is this textbook suitable for self-study?

Absolutely! This textbook is well-suited for self-study due to its clear explanations and structured format. Readers can progress through the chapters at their own pace, tackling theoretical concepts alongside practical applications. Whether you are a student or a professional, the self-contained nature of the material allows for flexibility in learning, enabling individuals to revisit specific topics or dive deeper into areas of interest as needed.

What programming languages are suggested for implementing concepts from the book?

The textbook encourages the use of popular programming languages such as Python and MATLAB for implementing the various concepts and algorithms discussed. Python, in particular, has robust libraries like NumPy and SciPy that facilitate linear algebra operations and optimization tasks. These languages also provide beneficial platforms for hands-on practice, allowing readers to experiment with actual datasets and model implementations, which enhances their understanding of the theoretical concepts presented.

¿Cómo comprar Linear Algebra and Optimization for Machine en línea desde Ubuy?

Es fácil comprar Linear Algebra and Optimization for Machine en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.

¿Está Linear Algebra and Optimization for Machine disponible para comprar en línea en Chile?

Sí, en Ubuy Chile, este producto está disponible para que lo compre a un precio razonable.. El Linear Algebra and Optimization for Machine no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.

¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Ver el original

Linear Algebra and Optimization for Machine Learning: A Textbook

This textbook introduces linear algebra and optimization in the context of machine learning with numerous exercises and examples provided. Advanced undergraduate students, graduate-level students, and professors can use this textbook.

Nº de artículo: 25111591

Linear Algebra and Optimization for Machine Learning: A Textbook

Q: Where can I buy 'Linear Algebra and Optimization for Machine Learning: A Textbook' in Chile?

You can purchase 'Linear Algebra and Optimization for Machine Learning: A Textbook' from Ubuy, which provides a convenient platform for accessing various educational resources, including academic textbooks. Ubuy is known for its reliability and customer-oriented service, making it an excellent choice for buyers looking for this specific title in Chile.

86% of respondents would recommend this to a friend

Nº de artículo: 25111591

CLP 68363

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

^{*All items will import from Estados Unidos}

Disponibilidad : En stock

Importado de la tienda USA

QTY:

Haz tu pedido ahora y recíbelo por ahí Viernes, Octubre 09

Secured transaction

Our Top Logistics Partners

This textbook introduces linear algebra and optimization in the context of machine learning with numerous exercises and examples provided. Advanced undergraduate students, graduate-level students, and professors can use this textbook.

Garantía U-Care:

Ninguno

Selecciona un plan

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 Estados Unidos store (110-120). Recommended power converters Comprar ahora.

What Stands Out

Comprehensive Coverage

This textbook offers extensive insights into linear algebra and optimization tailored for machine learning, ensuring a deep understanding of foundational concepts essential for aspiring data scientists and researchers.

Practical Applications

It emphasizes real-world applications and examples, bridging theory with practice, effectively preparing learners to apply linear algebra and optimization techniques in actual machine learning scenarios.

User-Friendly Structure

The book is structured for ease of understanding, with clear explanations and illustrative examples, making complex topics accessible to students and professionals alike, enhancing their learning experience.

Detalles de producto

Introduces linear algebra and optimization within the context of machine learning
Includes examples and exercises with a solution manual for teaching instructors
Targeted at graduate level students, professors in computer science, mathematics, and data science, as well as advanced undergraduate students
Chapters organized to cover basics of linear algebra with applications to singular value decomposition, matrix factorization, kernel methods, and graph analysis
Covers optimization problems in machine learning such as least-squares regression, support vector machines, logistic regression, recommender systems, and dimensionality reduction
Focuses on the most relevant aspects of linear algebra and optimization for machine learning applications

Publisher	Springer
Publication date	May 13, 2020
Edition	1st ed. 2020
Language	English
Print length	516 pages
ISBN-10	3030403432
ISBN-13	978-3030403430
Item Weight	2.3 pounds (1.04 kg)
Dimensions	7.01 x 1.13 x 10 inches (17.8 x 2.9 x 25.4 cm)

Who Should Buy?

Graduate Students
Ideal for graduate students specializing in machine learning or related fields requiring in-depth knowledge of linear algebra and optimization.
Data Scientists
Beneficial for data scientists seeking to enhance their understanding of mathematical foundations crucial for effective machine learning models.
Educators and Researchers
Useful resource for educators and researchers teaching advanced concepts in linear algebra and optimization within machine learning contexts.

Beginners in Math
Not suitable for those new to linear algebra or optimization, as it assumes a certain level of prior knowledge.

DESCRIPCIÓN DEL PRODUCTO

Linear Algebra and Optimization for Machine Learning: A Textbook

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

Pregunta: ¿Cómo comprar Linear Algebra and Optimization for Machine en línea desde Ubuy?

Respuesta: Es fácil comprar Linear Algebra and Optimization for Machine en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
Pregunta: ¿Está Linear Algebra and Optimization for Machine disponible para comprar en línea en Chile?

Respuesta: Sí, en Ubuy Chile, este producto está disponible para que lo compre a un precio razonable.. El Linear Algebra and Optimization for Machine no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
Pregunta: ¿Cuánto tiempo se tarda en obtener el producto después de realizar el pedido?

Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Linear Editorial Review

Linear Algebra and Optimization for Machine Learning is a comprehensive textbook that covers all the necessary background in linear algebra and optimization to understand machine learning papers and tools. The author, Dr. Charu Aggarwal, has Constructed a well-written and concise text that makes complex concepts clear. The book includes specialized topics needed in machine learning that are not found in introductory books on these topics. The exercises in each chapter are challenging and useful in getting a good grasp of the material. However, the quality of the paper is not very good, and it appears to be a scanned copy with dull images. Overall, the book is highly recommended for anyone studying machine learning and needs mathematical rigor and focus in linear algebra.

Customer Reviews & Ratings

4.0

1 valoraciones de los clientes

5 estrella

0%
4 estrella

100%
3 estrella

0%
2 estrella

0%
1 estrella

0%

Revisar este producto

Comparte tus ideas con otros clientes

ventajas

Comprehensive coverage of linear algebra and optimization for machine learning
Specialized topics needed for machine learning are included
Challenging exercises to improve understanding of the material
Mathematically clear and well-written

Contras

Quality of paper is poor, and images look dull

Product Price History

Información importante

Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.

CLP 68363

Haz tu pedido ahora y recíbelo por ahí Viernes, Octubre 09

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

características y beneficios

Linear Algebra and Optimization for Machine Learning is a textbook that teaches linear algebra and optimization in the context of machine learning
The book has numerous exercises and examples
This book is suitable for advanced undergraduate and graduate-level students and professors

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.

Linear Algebra and Optimization for Machine Learning: A Textbook

CLP 68363

Fast Shipping

Free Return*

Secure Packaging

100% Original Products

PCI DSS Compliance

ISO 27001 Certified

What Stands Out

Detalles de producto

Who Should Buy?

DESCRIPCIÓN DEL PRODUCTO

Preguntas y respuestas de los clientes

Linear Editorial Review

Customer Reviews & Ratings

Revisar este producto

ventajas

Contras

Product Price History

Información importante

CLP 68363

características y beneficios

Ubuy Assurance

Fast
Shipping

Free
Return^*