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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-
Story
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
-
Fundamentals of Software Architecture
- An Engineering Approach
- By: Mark Richards, Neal Ford
- Narrated by: Benjamin Lange
- Length: 13 hrs and 10 mins
- Unabridged
-
Overall
-
Performance
-
Story
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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-
Helpful but business-centric
- By A.N. on 03-25-21
By: Mark Richards, and others
-
Software Engineering at Google
- Lessons Learned from Programming Over Time
- By: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrated by: Mark Sando
- Length: 23 hrs and 36 mins
- Unabridged
-
Overall
-
Performance
-
Story
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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-
not useful
- By Andreas Andersen on 07-21-21
By: Titus Winters, and others
-
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
-
Overall
-
Performance
-
Story
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
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
-
Overall
-
Performance
-
Story
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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-
I can't believe this exists as an audiobook.
- By Michael Marcin on 12-18-23
By: Alex Petrov
-
Advances in Financial Machine Learning
- By: Marcos Lopez de Prado
- Narrated by: Steven Jay Cohen
- Length: 12 hrs and 58 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
-
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
-
Overall
-
Performance
-
Story
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.
-
-
Great content. Terrible narration.
- By Alex on 12-16-23
By: Neal Ford, and others
-
Fundamentals of Software Architecture
- An Engineering Approach
- By: Mark Richards, Neal Ford
- Narrated by: Benjamin Lange
- Length: 13 hrs and 10 mins
- Unabridged
-
Overall
-
Performance
-
Story
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
-
Helpful but business-centric
- By A.N. on 03-25-21
By: Mark Richards, and others
-
Software Engineering at Google
- Lessons Learned from Programming Over Time
- By: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrated by: Mark Sando
- Length: 23 hrs and 36 mins
- Unabridged
-
Overall
-
Performance
-
Story
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
-
-
not useful
- By Andreas Andersen on 07-21-21
By: Titus Winters, and others
-
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
-
Overall
-
Performance
-
Story
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.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- By Luc on 08-11-23
By: Laurence Moroney
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
-
Overall
-
Performance
-
Story
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
-
-
I can't believe this exists as an audiobook.
- By Michael Marcin on 12-18-23
By: Alex Petrov
-
Data Mesh
- Delivering Data-Driven Value at Scale
- By: Zhamak Dehghani
- Narrated by: Zura Johnson
- Length: 14 hrs and 2 mins
- Unabridged
-
Overall
-
Performance
-
Story
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
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Great coverage of current and future data product states.
- By Inktense on 08-24-24
By: Zhamak Dehghani
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
-
Overall
-
Performance
-
Story
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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Great for Hands on Business owners
- By LmL on 08-14-24
By: Joe Reis, and others
-
AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- By: Daniel Situnayake, Jenny Plunkett
- Narrated by: Suzie Althens
- Length: 17 hrs and 17 mins
- Unabridged
-
Overall
-
Performance
-
Story
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
By: Daniel Situnayake, and others
-
Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- By: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrated by: Mark Thomas
- Length: 15 hrs and 26 mins
- Unabridged
-
Overall
-
Performance
-
Story
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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Absolutely not suitable for audio
- By Actionwatcher on 08-15-23
By: Eli Stevens, and others
-
Solutions Architect's Handbook
- Kick-Start Your Solutions Architect Career by Learning Architecture Design Principles and Strategies
- By: Saurabh Shrivastava, Neelanjali Srivastav
- Narrated by: Mark Armstrong
- Length: 17 hrs and 48 mins
- Unabridged
-
Overall
-
Performance
-
Story
Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.
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-
Audio isn't a good fit for material
- By William May on 04-05-23
By: Saurabh Shrivastava, and others
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- By: Martin Kleppmann
- Narrated by: Benjamin Lange
- Length: 20 hrs and 56 mins
- Unabridged
-
Overall
-
Performance
-
Story
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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Must read for senior+ software engineers
- By Navid v on 05-29-21
By: Martin Kleppmann