Machine Learning in Finance: Techniques and Applications
genuine image
Machine Learning in Finance: Techniques and Applications
Unlock the potential of machine learning to transform your understanding of financial markets with this comprehensive guide.
Machine Learning in Finance: Techniques and Applications
Nº de artículo: 163990454

Machine Learning in Finance: Techniques and Applications

96% of respondents would recommend this to a friend

Nº de artículo: 163990454

PAB 37

Price Details

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

*All items will import from Estados Unidos

En stock
Estados Unidos Importado de la tienda USA

QTY:

Haz tu pedido ahora y recíbelo por ahí Miércoles, Septiembre 16
Secured transactionsecured 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
  • fedex
  • dhl
Unlock the potential of machine learning to transform your understanding of financial markets with this comprehensive guide.
Garantía U-Care:
Ninguno
Selecciona un plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment

What Stands Out

Comprehensive Techniques
Covers a wide array of machine learning techniques tailored for finance, providing essential insights for both beginners and seasoned professionals looking to enhance their financial modeling skills.
Real-World Applications
Includes practical applications of machine learning in finance, demonstrating how concepts can be implemented in risk management, portfolio optimization, and algorithmic trading for increased profitability.
Expert Insights
Features contributions from industry experts, offering valuable perspectives that bridge theory and practice, ensuring readers understand not just the 'how' but also the 'why' behind financial decision-making.

Detalles de producto

Publisher Independently published
Publication date October 14, 2024
Language English
Print length 379 pages
ISBN-13 979-8340670717
Item Weight 1.37 pounds (620 grams)
Dimensions 6 x 0.86 x 9 inches (15.2 x 2.2 x 22.9 cm)

Who Should Buy?

Suitable For
  • Finance Professionals

    Ideal for analysts and traders looking to leverage machine learning for data analysis and decision-making in finance.

  • Data Scientists

    Perfect for data scientists wishing to apply ML techniques specifically within the finance sector for innovative solutions.

  • Students and Researchers

    Beneficial for students and researchers focusing on finance and wanting to understand advanced applications of machine learning.

Not Suitable For
  • Beginners in Finance

    Not suitable for novices without prior finance knowledge, as the content requires a foundational understanding of financial concepts.

DESCRIPCIÓN DEL PRODUCTO

Machine Learning in Finance: Techniques and Applications

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

  • Pregunta: What is covered in 'Machine Learning in Finance: Techniques and Applications'?

    Respuesta: The book delves into the fundamental concepts of machine learning, showcasing various algorithms and techniques specifically tailored for financial applications. It encompasses topics such as risk management, algorithmic trading, fraud detection, and sentiment analysis. By bridging theoretical frameworks with practical applications, the text serves as an essential resource for finance professionals looking to harness data-driven innovations for strategic decision-making.
  • Pregunta: Who can benefit from reading this book on machine learning in finance?

    Respuesta: This book is ideal for finance professionals, data scientists, and students in fields such as finance, statistics, and computer science. Its comprehensive approach caters to practitioners looking to improve their analytical skills and integrate machine learning into their financial strategies. For example, financial analysts can leverage these techniques for enhancing forecasting models, while data scientists can apply the insights to optimize trading algorithms.
  • Pregunta: What are some practical applications of machine learning discussed in the book?

    Respuesta: The book discusses several practical applications such as algorithmic trading, where machine learning models analyze market trends to inform trading strategies, and credit scoring systems that utilize predictive analytics for assessing borrower risk. Additionally, it covers how financial institutions use machine learning to detect anomalies that may indicate fraud. These applications highlight the transformative potential of machine learning in enhancing operational efficacy and profitability.
  • Pregunta: Does the book require a prior knowledge of machine learning?

    Respuesta: While a background in finance is beneficial, the book is structured to accommodate both beginners and those with intermediate knowledge of machine learning. It introduces key concepts progressively, making it accessible for readers with varying levels of expertise. The initial chapters focus on basic theories, allowing newcomers to build their understanding before tackling more complex topics, ensuring a solid grasp of the material.
  • Pregunta: What type of machine learning techniques are emphasized in the book?

    Respuesta: The book emphasizes supervised and unsupervised learning techniques, including regression analysis, decision trees, neural networks, and clustering methods. These techniques are explained in the context of real-world financial scenarios, showcasing their strengths and limitations. For example, regression is highlighted for predicting stock prices, while clustering is useful for segmenting customer data in retail banking.
  • Pregunta: How does this book integrate case studies or real-world examples?

    Respuesta: It integrates case studies and real-world examples to illustrate the application of machine learning techniques in finance. This approach enhances understanding by allowing readers to see the practical implications of the theories discussed. For instance, case studies on hedge fund strategies demonstrate how machine learning algorithms can achieve superior returns compared to traditional methods, showcasing tangible results.
  • Pregunta: Is there an emphasis on ethical considerations in machine learning applications discussed in the book?

    Respuesta: Yes, the book addresses the importance of ethical considerations in machine learning applications within finance. It discusses topics such as data privacy, algorithmic bias, and the implications of automated decision-making on consumers. By highlighting these issues, the book encourages practitioners to develop responsible models and practices that uphold ethical standards while leveraging advanced technologies.
  • Pregunta: Does the book offer any resources for further learning or practice?

    Respuesta: The book provides references to additional resources, including online courses, research papers, and software tools that readers can utilize for further learning. Alongside theoretical content, practical exercises accompanying each chapter allow readers to apply their newfound knowledge. For example, it might suggest specific datasets for practicing model development, thus bridging the gap between theory and hands-on experience.
  • Pregunta: How can financial institutions implement the techniques discussed in the book?

    Respuesta: Financial institutions can implement techniques from the book by establishing cross-functional teams that encompass both finance and data science expertise. By integrating machine learning models into existing workflows, such as risk assessment or trading strategies, institutions can enhance effectiveness and competitive edge. For example, banks can use predictive models to improve customer service by anticipating client needs based on historical behaviors.
  • Pregunta: Where can I buy 'Machine Learning in Finance: Techniques and Applications' in Panama?

    Respuesta: You can buy 'Machine Learning in Finance: Techniques and Applications' through Ubuy, a reliable platform that offers a wide range of books and resources tailored for your educational needs. Ubuy provides an easy-to-navigate interface, ensuring you can find this important title conveniently. Don't miss out on adding this essential resource to your library for a deeper understanding of machine learning in finance.

Computers & Technology Editorial Review

No se encontraron reseñas editoriales

Customer Reviews & Ratings

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

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9250 + reseñas
Read reviews
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
Pago seguro Global Delivery Easy Returns Genuine Products

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.

PAB 37

Haz tu pedido ahora y recíbelo por ahí Miércoles, Septiembre 16

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

características y beneficios

  • Comprehensive guide on machine learning in finance.
  • In-depth insights into AI's revolutionary role in financial markets.
  • Practical methods for applying machine learning algorithms.
  • Covers algorithmic trading, predictive analytics, and risk management.
  • Equips finance professionals and data scientists with essential knowledge.
  • Discover cutting-edge techniques to optimize investment strategies.

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.