
Deep Learning for Finance
Creating Machine & Deep Learning Models for Trading in Python
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Narrated by:
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Mike Chamberlain
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By:
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Sofien Kaabar
About this listen
Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.
Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.
This book will help you to understand and create machine learning and deep learning models; explore the details behind reinforcement learning and see how it's used in time series; understand how to interpret performance evaluation metrics; examine technical analysis and learn how it works in financial markets; create technical indicators in Python and combine them with ML models for optimization; and evaluate the models' profitability and predictability to understand their limitations and potential.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Sofien Kaabar (P)2024 Ascent AudioListeners also enjoyed...
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Good but I mixed ebook + audio book
- By JUAN CARLOS MARTINEZ LOERA on 10-27-24
By: Alexey Grigorev
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
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If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- By Luc on 08-11-23
By: Laurence Moroney
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Advances in Financial Machine Learning
- By: Marcos Lopez de Prado
- Narrated by: Steven Jay Cohen
- Length: 12 hrs and 58 mins
- Unabridged
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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.
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Beware - not suited to audio-book format.
- By Theo on 07-10-18
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Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- By: Susan Shu Chang
- Narrated by: Xifeng Brooks
- Length: 9 hrs and 39 mins
- Unabridged
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As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
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Great advice, and read well.
- By Goodmann on 01-26-25
By: Susan Shu Chang
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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- By: Alex J. Gutman, Jordan Goldmeier
- Narrated by: Brian Arens
- Length: 7 hrs and 41 mins
- Unabridged
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Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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Great Start for Those interested in data.
- By armando on 09-02-24
By: Alex J. Gutman, and others
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- By: Neal Ford, Mark Richards, Pramod Sadalage, and others
- Narrated by: Dena Dahilig
- Length: 12 hrs and 53 mins
- Unabridged
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There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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Great content. Terrible narration.
- By Alex on 12-16-23
By: Neal Ford, and others