Financial Machine Learning

A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times bestselling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning...

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. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. 

Ned discovers a hard truth about his past but will it also endanger the future of the universe? After reconnecting with an old acquaintance, Hank’s AI companion is on the hunt for more information and it just might bring them closer than ever to Twain. But the old Enemy AI has a few tricks up his sleeve. And while they pursue the villain, the crew also find themselves in the crosshairs. Having angered a shadowy sect, the hunters become the hunted.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

Master algorithmic trading and deep learning in quantitative finance to build models that actually generate alpha. Perfect for your morning commute or deep work sessions, this focused guide strips away the hype to reveal how institutional data science teams engineer profitable strategies. Learn...

Master artificial intelligence in modern finance and future-proof your career without needing a tech background. Perfect for your commute upskilling, this practical guide demystifies complex machine learning into actionable business strategies. Step into your next boardroom presentation feeling...

Master production-ready AI agents to transform legacy banking infrastructure into secure, autonomous financial workflows. Perfect for your daily commute, this pragmatic listen cuts through the hype to help you deploy machine learning systems that survive rigorous internal scrutiny. Gain the...

Master artificial intelligence in high-stakes investing to automate workflows and turn raw data into alpha. Whether you are strategizing in a fintech boardroom or seeking focused professional development during your commute, this pragmatic guide cuts through the tech jargon. It bridges the...