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This richly illustrated book is a brief but comprehensive overview (without equations) of current AI systems, how they work, their applications, and their limitations. Artificial neural networks, which are the engines of AI, are introduced in the context of deep learning algorithms. After surveying the impressive capabilities of AI systems on certain tasks, the limited ability of AI to perform tasks that humans find trivial is discussed. The strengths and weak
This richly illustrated book is a brief but comprehensive overview (without equations) of current AI systems, how they work, their applications, and their limitations. Artificial neural networks, which are the engines of AI, are introduced in the context of deep learning algorithms. After surveying the impressive capabilities of AI systems on certain tasks, the limited ability of AI to perform tasks that humans find trivial is discussed. The strengths and weaknesses of the key neural network learning algorithms employed by AI are then described.
This book is primarily intended for undergraduate and postgraduate students of computer science . This textbook covers the gap between the difficult contexts of Artificial Intelligence. It provides the most number of case studies and worked-out examples. In addition to Artificial Intelligence , it also covers various types of learning like reinforced, supervised, unsupervised and statistical learning. It features well-explained algorithms and pseudo-codes for
This book is primarily intended for undergraduate and postgraduate students of computer science . This textbook covers the gap between the difficult contexts of Artificial Intelligence. It provides the most number of case studies and worked-out examples. In addition to Artificial Intelligence , it also covers various types of learning like reinforced, supervised, unsupervised and statistical learning. It features well-explained algorithms and pseudo-codes for each topic which makes this book very useful for students.
This book emphasizes the skills you will need to do real-world programming. It teaches you not only the mechanics of the C language, but the entire life cycle of a C program as well (including the program’s conception, design, code, methods, debugging, release, documentation, maintenance, and revision).
This book emphasizes the skills you will need to do real-world programming. It teaches you not only the mechanics of the C language, but the entire life cycle of a C program as well (including the program’s conception, design, code, methods, debugging, release, documentation, maintenance, and revision).
The “Programming in Java” book introduces the most basic concepts and is careful to define all terms when they are first used. The book presents each new idea in a logical progression. Larger topics, like recursion and object-oriented programming, are divided into smaller examples and introduced over the course of several chapters. The book covers fundamentals of OOP and Java programming at both basic and advanced levels. It offers a
The “Programming in Java” book introduces the most basic concepts and is careful to define all terms when they are first used. The book presents each new idea in a logical progression. Larger topics, like recursion and object-oriented programming, are divided into smaller examples and introduced over the course of several chapters. The book covers fundamentals of OOP and Java programming at both basic and advanced levels. It offers a balanced treatment of OOP theory and practice for developing desktop, enterprise, and web applications. These features make it a unique textbook for both undergraduate and postgraduate students.
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