The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills--and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled...

"Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that...

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems Purchase of the print or Kindle book includes a free eBook in the PDF format Key Features Explore unique recipes for financial data processing and analysis with Python Apply classical and machine learning approaches to financial time series analysis Calculate various technical analysis indicators...

"Data Science has overtaken the way the finance and investment is done on Wall Street. All tools and techniques driving decision-making are being revamp with the help of applied mathematics and code"--

With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.

This book shows how distributed ledger technologies, especially the blockchain, are transforming the finance sector in the wake of the financial crisis of 2008. It surveys the measures, tools, and theories being developed to create a new framework of monetary economics and capitalism. Kariappa Bheemaiah, a technology strategy consultant, analyzes and compares the traditional and emergent paradigms of finance and monetary economics. Blockchain: Rethinking...

Explore Automated Market Makers (AMMs), the underlying protocols used by decentralized exchanges (DEX) to allow users to perform trades of cryptocurrencies in a decentralized way with no middlemen. This book provides a thorough study and a clear-cut exposition of the principal AMMs (Uniswap v2 and v3, Balancer, and Curve). You'll receive a detailed description of how these AMMs work, unveiling the mathematics behind them and showing plenty of examples...

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library. Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN - two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision...

Whether you're brand new to Xero or converting from another program, you'll get up and running in a flash with this hands-on guide! Easy to use and deceptively powerful, Xero is so much more than a simple accounting program - it can help you streamline and automate your accounting and business workflows, organise suppliers, customers and inventory and generate information you need to manage your business efficiently.