How would you describe AI, true AI (also known as AGI), and Strong AI in today’s scenario? Artificial Intelligence is constantly evolving and has the potential to replicate humans in every field. It gets your system to think smart and learn intelligently. Artificial General Intelligence (AGI) is not a proven scientific reality to this day. Machine learning and deep learning models are still trained on specific datasets to obtain pre-defined results. In contrast to strong AI, narrow AI is not intended to execute human cognitive skills, rather, it is limited to the use of software to learn or accomplish certain problem solving or reasoning errands. However, transfer learning and domain learning extend the scope of well-trained models to a certain extent. Presently, AI is predominantly a branch of applied mathematics. Some models can produce art forms (image, music, etc.) but remain based on mathematical models that preclude the expression of emotions. What's new in this second edition of Artificial Intelligence by Example? Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. It will take you to the cutting edge of AI and beyond with innovations that improve existing solutions. I have added many new AI, ML and DL models: ensemble algorithms, neuromorphic computing, genetic algorithms, hybrid neural networks driven by genetic algorithms, random forests, and more. This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. What are the key takeaways you want readers to get from this book? The critical takeaway can be summed up in one sentence: learn what AI is, how to build reliable programs, when to use AI, and where to apply it. If we talk about the key aspects of AI that my book covers, it encapsulates the theories of machine learning, deep learning, and major AI algorithms. The reader will be able to grasp in detail the different stages of e-commerce including manufacturing, services, warehouses, and delivery. It further equips readers with AI solutions combined with IoT, open-source Python programs, cloud platforms, enhancing chatbots, and quantum computing. By the time you've finished this book, you'll be able to speak as a no-nonsense AI specialist in any situation with knowledge and productive creativity.
✔ Author(s): Denis Rothman
✔ Title: Artificial Intelligence By Example: Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition
✔ Rating : 4.2 out of 5 base on (30 reviews)
✔ ISBN-10: 1839211539
✔ ISBN-13: 9781839211539
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Artificial Intelligence By Example by Denis Rothman
Elaine Leonard
This book is a treasure trove of knowledge and wisdom. The insights offered by the characters and their experiences have left a lasting impression on me.
Kara Snyder
The plot was so well-paced that I lost track of time while reading. I was completely immersed in the story, eagerly turning the pages to uncover the next twist.
Iris Watts
The themes of resilience and hope resonated deeply with me. This book taught me valuable life lessons that I'll carry with me for years to come.
