
Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition
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Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition Summary
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"Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition" is a book authored by Denis Rothman. As of my last update in January 2022, it offers readers an immersive journey through various practical examples of artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications. Here's a breakdown of what readers can expect from this book: 1. Hands-On Approach: The book emphasizes a practical, hands-on approach to learning AI, ML, and DL. It provides numerous examples and code samples to help readers understand the underlying concepts and implement them in real-world scenarios. 2. Comprehensive Coverage: "Artificial Intelligence By Example" covers a wide range of topics within the AI domain, including supervised learning, unsupervised learning, reinforcement learning, natural language processing (NLP), computer vision, and more. This breadth of coverage allows readers to explore different branches of AI and gain a holistic understanding of the field. 3. Advanced Skills Development: The 2nd Edition of the book focuses on acquiring advanced AI, ML, and DL design skills. It goes beyond the basics and delves into more sophisticated techniques and algorithms used in modern AI applications. Readers can expect to learn about advanced topics such as deep neural networks, recurrent neural networks (RNNs), convolutional neural networks (CNNs), and generative adversarial networks (GANs). 4. *Practical Examples: Throughout the book, readers encounter practical examples that demonstrate how AI techniques can be applied to solve real-world problems. These examples are accompanied by clear explanations and step-by-step instructions, enabling readers to replicate the experiments and gain hands-on experience. 5. Updated Content: As a 2nd Edition, the book likely includes updates and revisions to reflect the latest developments in the field of AI. This may include new algorithms, techniques, libraries, and best practices that have emerged since the publication of the first edition. 6. Accessible Language: Denis Rothman strives to make complex AI concepts accessible to readers of all levels. The book is written in clear and concise language, making it suitable for beginners as well as more experienced practitioners looking to deepen their understanding of AI. Overall, "Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition" serves as a valuable resource for anyone interested in mastering AI, ML, and DL through practical, hands-on learning experiences.