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Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
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Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain.
Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
Item #: 56430562

Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques

Item #: 56430562

NZD 33

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Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain.
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What Stands Out

Practical Application Focus
This guide emphasizes real-world applications of AI in banking, ensuring readers gain hands-on experience in implementing machine learning solutions tailored for financial systems.
Comprehensive Techniques
Covers a wide range of machine learning techniques specifically designed for banking, enabling financial professionals to enhance decision-making and improve operational efficiency.
Industry-Relevant Insights
Provides unique insights from industry experts, helping readers understand current challenges in finance and how AI can effectively solve them, delivering exceptional value to financial institutions.

Product Details

Discover our Ubuy New Zealand for Hands-On Artificial Intelligence books. Learn to build intelligent financial applications using machine learning techniques and improve banking processes.
  • Comprehensive guide for building intelligent financial applications
  • Focused on machine learning techniques for banking industry
  • Hands-on approach for practical understanding
  • Utilizes artificial intelligence for banking applications
  • Practical implementation of AI in financial sector
  • Specifically designed for building intelligent financial solutions
Publisher Packt Publishing
Publication date July 10, 2020
Language English
Print length 240 pages
ISBN-10 1788830784
ISBN-13 978-1788830782
Item Weight 14.7 ounces (416.75 grams)
Dimensions 7.5 x 0.55 x 9.25 inches (19.1 x 1.4 x 23.5 cm)

Who Should Buy?

Suitable For
  • AI Practitioners

    Professionals looking to enhance their skills in applying machine learning specifically within the banking sector.

  • Financial Analysts

    Analysts who aim to leverage AI techniques for data-driven decision-making and financial forecasting.

  • Software Developers

    Developers interested in creating innovative financial applications with machine learning capabilities.

Not Suitable For
  • Beginners in AI

    Individuals with no prior knowledge of artificial intelligence may find the content too advanced and challenging.

Product Description

Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques

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Product Buying Guide

Remodel your banking experience with Hands-On Artificial Intelligence for Banking. This practical guide focuses on implementing AI and machine learning techniques to automate and improve financial applications. Whether you're a machine learning engineer, data scientist, or finance professional, this book will equip you with the skills to navigate the finance domain using the power of AI.

Product Specifications

  • Title: Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
  • Author: Not specified
  • Format: Paperback
  • Language: English
  • Number of Pages: Not specified

Key Features

  • Learn how to obtain financial data from various sources
  • Automate commercial banking using artificial intelligence and Python
  • Implement AI models for personal banking
  • Discover real-world AI considerations in the field of banking

Usage Scenarios

  • Automate client procurement using time series analysis
  • Automate bank financing using reinforcement learning
  • Mechanize capital market decisions
  • Predict investment banking trends
  • Manage portfolios using automated portfolio management systems
  • Sense market needs with sentiment analysis for algorithmic marketing
  • Build personal wealth advisors with the help of bank APIs
  • Customize client lifetime wealth based on individual needs

Competitors

  • The price of Hands-On Artificial Intelligence for Banking may vary depending on the retailer and format chosen. It is recommended to compare prices from different sources to find the best deal.

Buying Considerations

  • Prior experience in the financial or banking domain is beneficial
  • Working knowledge of the Python programming language is required
  • Consider the relevance of AI in your specific role within the finance industry
  • Evaluate the practical examples provided in the book to assess their applicability to your own projects
  • Check customer reviews and recommendations for further insights

Conclusion

Hands-On Artificial Intelligence for Banking is a comprehensive guide that empowers finance professionals to leverage AI and machine learning techniques for more efficient and effective financial applications. With its practical examples and real-world considerations, this book is a valuable resource for those looking to stay ahead in the rapidly evolving world of AI in finance.

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Remodel your banking experience with Hands-On Artificial Intelligence for Banking. This practical guide focuses on implementing AI and machine learning techniques to automate and improve financial applications. Whether you're a machine learning engineer, data scientist, or finance professional, this book will equip you with the skills to navigate the finance domain using the power of AI. Continue Reading

Customer Questions & Answers

  • Question: What can I expect to learn from 'Hands-On Artificial Intelligence for Banking'?

    Answer: In 'Hands-On Artificial Intelligence for Banking', readers will gain a thorough understanding of the application of machine learning techniques in the financial sector. The book covers practical aspects of building intelligent financial applications, ranging from data collection and preprocessing to deploying machine learning models. It not only dives into algorithms but also discusses how to integrate these solutions in real-world banking scenarios, like fraud detection and sentiment analysis in customer interactions, making it a valuable resource for banking professionals and tech enthusiasts alike.
  • Question: Who is the target audience for this book?

    Answer: This book is tailored for finance professionals, data scientists, and machine learning enthusiasts interested in applying AI in the banking industry. It caters to individuals who have a foundational understanding of machine learning concepts but are keen on exploring practical applications specific to financial services. Additionally, it appeals to software developers looking to enhance their skills in AI and finance, providing them with the tools to create impactful solutions in their organizations.
  • Question: What types of projects are included in the book?

    Answer: The book features a variety of projects that exemplify the real-world application of AI in banking. These projects include building predictive models for credit scoring, developing algorithms for fraud detection, and creating chatbots for enhanced customer service. Each project is designed to provide hands-on experience with commonly used machine learning techniques, allowing readers to cultivate their skills while addressing actual banking challenges, making it an indispensable guide for practical learning.
  • Question: How does this book compare to other AI resources?

    Answer: Unlike many general AI resources, 'Hands-On Artificial Intelligence for Banking' specifically focuses on the financial sector, making it unique in its approach. It combines theoretical knowledge with practical applications tailored to banking needs, ensuring that readers can directly relate the material to their work environment. This specialized focus helps bridge the gap between data science and finance, equipping professionals with actionable skills that are immediately relevant in their roles, differentiating it from broader AI literature.
  • Question: Is prior knowledge of machine learning necessary to understand the content?

    Answer: While a foundational understanding of machine learning concepts is beneficial, 'Hands-On Artificial Intelligence for Banking' does not require extensive expertise. The book begins by introducing key concepts and gradually progresses to more complex problems, making it accessible to readers at various skill levels. This allows beginners to grasp essential ideas while providing seasoned professionals an opportunity to deepen their knowledge and refine their skills in a banking context.
  • Question: What tools and technologies are covered in the book?

    Answer: The book covers a range of programming languages and tools essential for building AI applications in banking. It primarily focuses on popular libraries such as Python, TensorFlow, and scikit-learn, providing readers the opportunity to familiarize themselves with both coding and model implementation. Throughout the projects, readers will learn how to utilize these tools effectively, enabling them to create impactful financial applications that can drive innovation and efficiency within their organizations.
  • Question: Can this book help in career advancement in the banking industry?

    Answer: Absolutely! 'Hands-On Artificial Intelligence for Banking' equips readers with practical skills that are increasingly in demand within the financial sector. By mastering machine learning applications in banking, readers can position themselves as knowledgeable contributors to their organizations’ digital transformation initiatives. This expertise can lead to significant career advancements, as employers value professionals who can effectively implement technology solutions that enhance operational efficiencies and improve customer experiences.
  • Question: Are there case studies included in the book?

    Answer: Yes, the book includes various case studies that illustrate the successful implementation of AI techniques in banking. These case studies provide insights into real-world challenges and solutions, showcasing how different banks have leveraged machine learning for tasks like risk assessment and customer segmentation. By analyzing these examples, readers can learn from practical experiences and understand the impact of AI on banking processes, aiding in the development of their own AI strategies.
  • Question: What are some specific applications of AI in banking discussed in the book?

    Answer: The book discusses numerous applications of AI in the banking sector, including predictive analytics for loan approvals, automated trading systems, risk management strategies, and personalized customer service solutions. By examining these applications, readers gain an understanding of how AI enhances various banking functions, ultimately leading to better decision-making and improved customer satisfaction. These insights empower banking professionals to harness AI technologies effectively in their respective roles.
  • Question: Where can I buy 'Hands-On Artificial Intelligence for Banking'?

    Answer: You can purchase 'Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques' on Ubuy, your go-to platform for a wide range of products available in New Zealand. Ubuy provides a seamless shopping experience, along with reliable customer service, making it a convenient choice for accessing this specialized resource.

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NZD 33

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Features & Benefits

  • Learn how to use AI implementation to make banking services smoother, more cost-efficient, and accessible
  • Gain insights into the AI revolution in the banking industry
  • Explore time series analysis and reinforcement learning to automate client procurements, banking, and finance decisions
  • Understand mechanizing capital market decisions and building personal wealth advisors
  • Explore real-world AI considerations in the field of banking
  • Suitable for machine learning engineers, data engineers, and data scientists working in finance industry and entrepreneurs, venture capitalists, investment bankers, and wealth managers

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