├── LICENSE └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Packt 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

2 | 3 | ## Machine Learning Summit 2025 4 | **Bridging Theory and Practice: ML Solutions for Today’s Challenges** 5 | 6 | 3 days, 20+ experts, and 25+ tech sessions and talks covering critical aspects of: 7 | - **Agentic and Generative AI** 8 | - **Applied Machine Learning in the Real World** 9 | - **ML Engineering and Optimization** 10 | 11 | 👉 [Book your ticket now >>](https://packt.link/mlsumgh) 12 | 13 | --- 14 | 15 | ## Join Our Newsletters 📬 16 | 17 | ### DataPro 18 | *The future of AI is unfolding. Don’t fall behind.* 19 | 20 |

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43 | 3 Days, 20+ AI Experts, 25+ Workshops and Power Talks 44 | 45 | Code: USD75OFF 46 | 47 | # Neuro-Symbolic AI 48 | 49 |

50 | 51 | This is the code repository for [Neuro-Symbolic AI](https://www.amazon.com/dp/1804617628), published by Packt. 52 | 53 | **Design transparent and trustworthy systems that understand the world as you do** 54 | 55 | ## What is this book about? 56 | Neuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches. 57 | You’ll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you’ll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You’ll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI. 58 | Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions. 59 | 60 | This book covers the following exciting features: 61 | * Gain an understanding of the intuition behind neuro-symbolic AI 62 | * Determine the correct uses that can benefit from neuro-symbolic AI 63 | * Differentiate between types of explainable AI techniques 64 | * Think about, design, and implement neuro-symbolic AI solutions 65 | * Create and fine-tune your first neuro-symbolic AI system 66 | * Explore the advantages of fusing symbolic AI with modern neural networks in neuro-symbolic AI systems 67 | 68 | If you feel this book is for you, get your [copy](https://www.amazon.com/dp/1804617628) today! 69 | 70 |

71 | 72 | ## Instructions and Navigations 73 | All of the code is organized into folders. 74 | 75 | The code will look like the following: 76 | ``` 77 | html, body, #map { 78 | height: 100%; 79 | margin: 0; 80 | padding: 0 81 | } 82 | ``` 83 | 84 | **Following is what you need for this book:** 85 | This book is ideal for data scientists, machine learning engineers, and AI enthusiasts who want to explore the emerging field of neuro-symbolic AI and discover how to build transparent and trustworthy AI solutions. A basic understanding of AI concepts and familiarity with Python programming are needed to make the most of this book. 86 | 87 | With the following software and hardware list you can run all code files present in the book (Chapter 1-9). 88 | 89 | ### Software and Hardware List 90 | 91 | | Chapter | Software required | OS required | 92 | | -------- | -------------------------------------------------------------------------------------| -----------------------------------| 93 | | 1-9 | Python 3.7+ | Windows, Mac OS X, and Linux (Any) | 94 | 95 | 96 | We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://packt.link/94cl7). 97 | 98 | 99 | ### Related products 100 | * Hands-On Graph Neural Networks Using Python [[Packt]](https://www.packtpub.com/product/hands-on-graph-neural-networks-using-python/9781804617526) [[Amazon]](https://www.amazon.com/Hands-Graph-Neural-Networks-Python/dp/1804617520) 101 | 102 | * Data Augmentation with Python [[Packt]](https://www.packtpub.com/product/data-augmentation-with-python/9781803246451) [[Amazon]](https://www.amazon.com/Data-Augmentation-Python-learning-augmentation/dp/1803246456) 103 | 104 | ## Get to Know the Author(s) 105 | **Alexiei Dingli** is a professor of artificial intelligence at the University of Malta. As an AI expert with over two decades of experience, his research has helped numerous companies around the world successfully implement AI solutions. His work has been recognized globally, with international experts rating it as world-class. He is a recipient of multiple prestigious awards, including those from the European Space Agency, the World Intellectual Property Organization, and the United Nations, to name a few. With a rich collection of peer-reviewed publications to his name, he is also an esteemed member of the Malta.AI task force, which was established by the Maltese government to propel Malta to the forefront of the global AI landscape. 106 | 107 | **David Farrugia** is a seasoned data scientist and a Ph.D. candidate in AI at the University of Malta. David Farrugia has worked in diverse industries, including gaming, manufacturing, customer relationship management, affiliate marketing, and anti-fraud. He has an interest in exploring the intersection of business and academic research. He also believes that the emerging field of neuro-symbolic AI has the potential to revolutionize the way we approach AI and solve some of the most complex problems in the world. 108 | --------------------------------------------------------------------------------