Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python
Key Features
Understand how to obtain financial data via Quandl or internal systems
Automate commercial banking using artificial intelligence and Python programs
Implement various artificial intelligence models to make personal banking easy
Book Description
Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.
You'll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you'll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you'll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you'll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you'll get to grips with some real-world AI considerations in the field of banking.
By the end of this book, you'll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
What you will learn
Automate commercial bank pricing with reinforcement learning
Perform technical analysis using convolutional layers in Keras
Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases
Deploy a robot advisor to manage your personal finances via Open Bank API
Sense market needs using sentiment analysis for algorithmic marketing
Explore AI adoption in banking using practical examples
Understand how to obtain financial data from commercial, open, and internal sources
Who this book is for
This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.
Описание: For centuries people have recognised the importance of language in creating and applying law. This edited volume shows scholars and students how modern linguistics and related fields contribute to understanding the role language plays, and what follows from viewing law`s power as a matter of situated communication in specific social relations rather than an abstract system of rules.
Автор: Hamido Fujita; Ali Selamat Название: Intelligent Software Methodologies, Tools and Techniques ISBN: 3319175297 ISBN-13(EAN): 9783319175294 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the best papers selection from the proceedings of the 13th International Conference on Intelligent Software Methodologies, Tools and Techniques, SoMeT 2014, held in Langkawi, Malaysia, in September 2014. software methodologies for reliable software design;
Описание: This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted.
Chapter 1: A Treatise on Distributed Generation Control.- Chapter 2: Approach for the prevention of Audio Piracy.- Chapter 3: Quality assessment of kaji lemon (Citrus limon) juice under ultrasound and pasteurization processing conditions.- Chapter 4: Optimal Parameter Extraction of PEM Fuel Cell using an Effective Approach.- Chapter 5: A Survey on Feature Extraction Methods for EEG based Emotion Recognition.- Chapter 6: Block Steganography Based Secure Key Encryption To Improve Data Security.- Chapter 7: Texture analysis for rice grain classification using wavelet decomposition and back propagation neural network.- Chapter 8: An analytics-based envelope neural net approach to forecasting memory leakage in an enterprise applications environment.
Автор: Chen Chang Wen, Li Zhu, Lian Shiguo Название: Intelligent Multimedia Communication: Techniques and Applications ISBN: 364211685X ISBN-13(EAN): 9783642116858 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For example, the covered topics include the present and future video coding standards, stereo and multiview coding techniques, free-viewpoint TV techniques, wireless broadcasting techniques, media streaming techniques, wireless media transmission techniques and systems, and User-Generated Content sharing.
Автор: Jeng-Shyang Pan; Vaclav Snasel; Emilio S. Corchado Название: Intelligent Data analysis and its Applications, Volume I ISBN: 3319077759 ISBN-13(EAN): 9783319077758 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014.
Описание: This volume introduces new approaches in intelligent control area fromboth the viewpoints of theory and application. Some of the chapters introduce specific case studies of various intelligentcontrol systems and others focus on intelligent theory based control techniqueswith applications.
Автор: Roumen Kountchev; Kazumi Nakamatsu Название: New Approaches in Intelligent Image Analysis ISBN: 3319321900 ISBN-13(EAN): 9783319321905 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
New Approaches in Intelligent Image Analysis- Techniques, Methodologies and Applications.- New Approaches for Hierarchical Image Decomposition, based on IDP, SVD, PCA and KPCA.- Intelligent Digital Signal Processing and Feature Extraction Methods.- Multi-Dimensional Data Clustering and Visualization via Echo State Networks.- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems.- An Evolutionary Optimization Control System for Remote Sensing Image Processing.- Tissue Segmentation Methods using 2D Histogram Modification in a Sequence of MR Brain Images.- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images.- Audio Visual Attention Models in Mobile Robots Navigation.- Local Adaptive Image Processing.- Learning Techniques for Intelligent Access Control.- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps.
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Описание: This book constitutes the best papers selection from the proceedings of the 14th International Conference on Intelligent Software Methodologies, Tools and Techniques, SoMeT 2015, held in Naples, Italy, in September 2015. security and software methodologies for reliable software design;
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Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.
Описание: Addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.
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