What is the primary focus of 'Artificial Intelligence By Example'?

The book 'Artificial Intelligence By Example' primarily focuses on developing machine intelligence from scratch by leveraging real-world use cases. Through practical examples, it guides readers on how to implement core AI concepts in various applications. This approach not only solidifies theoretical understanding but also empowers readers to tackle specific problems using AI techniques. For instance, by working through examples, one can learn to build a recommendation system by applying the concepts learned.

Who is the target audience for this book?

'Artificial Intelligence By Example' is targeted towards aspiring data scientists, developers, and enthusiasts who have a basic understanding of programming and wish to delve deeper into AI. The book uses a hands-on approach, making it suitable for those who learn better through application rather than theory alone. Whether you are a student in computer science or a professional looking to expand your skill set, the practical scenarios included will provide valuable insights into real AI projects.

What programming languages are covered in 'Artificial Intelligence By Example'?

The book covers programming primarily in Python, which is widely used in the AI community due to its simplicity and powerful libraries. It provides examples using popular frameworks such as TensorFlow and Keras, enabling readers to grasp how these tools can be utilized effectively. For those familiar with other programming languages such as R or Java, the principles discussed can often be adapted, thus offering a broader context for implementation across different environments.

How does the book approach teaching AI concepts?

'Artificial Intelligence By Example' adopts a project-based approach to teaching AI concepts. Each chapter presents a specific use case, allowing readers to develop a relevant project that applies what they've learned. This technique enhances comprehension by providing context to algorithms and models, thus making them more relatable. For example, through building a simple chatbot, readers can explore natural language processing and gain practical skills that can be applied in various industries.

What are some key topics discussed in the book?

Key topics in 'Artificial Intelligence By Example' include machine learning, neural networks, natural language processing, and computer vision. The book breaks down complex concepts into understandable segments, ensuring readers can follow along, regardless of their prior knowledge. By engaging with diverse topics, such as creating image classifiers or working with data visualization, readers will develop a well-rounded understanding of AI applications in real-world scenarios.

Is prior knowledge of AI necessary to understand the content?

No, prior knowledge of AI is not strictly necessary to understand the content of 'Artificial Intelligence By Example'. The book is designed for readers who may be newcomers to the field, as it starts with fundamental concepts and gradually progresses to more advanced topics. Each chapter builds on the previous one, ensuring a solid foundation. Beginners will benefit from this structured approach, gaining confidence as they apply what they learn to real applications.

How can this book benefit my career in technology?

'Artificial Intelligence By Example' can significantly benefit your career in technology by equipping you with practical skills in AI and machine learning. As AI continues to transform industries, possessing knowledge about its applications will make you an asset to employers. Moreover, the hands-on projects in the book can enhance your portfolio, showcasing your ability to develop solutions using AI. This practical experience can position you well for roles in data science, software engineering, and beyond.

Are there any online resources or communities associated with the book?

Yes, readers of 'Artificial Intelligence By Example' can find various online resources and communities that enhance their learning experience. Many readers and learners congregate in forums such as GitHub, Stack Overflow, or dedicated AI communities on social media. Additionally, online platforms may host supplementary materials, exercises, or discussion groups related to the content of the book, providing a collaborative environment for problem-solving and skill development.

Can I use this book for self-study, or is it better taught in a classroom setting?

'Artificial Intelligence By Example' is an excellent resource for self-study as it provides clear explanations, practical examples, and exercises that reinforce learning. The book's hands-on approach encourages readers to experiment and build projects independently. While it can also be used in a classroom setting as part of a course curriculum, many find its structured yet flexible format allows for effective learning at their own pace, making it a great option for those pursuing self-directed education.

Where can I buy 'Artificial Intelligence By Example'?

You can buy 'Artificial Intelligence By Example' from Ubuy in Iceland. Ubuy is a well-known e-commerce platform that stocks a wide variety of books, including technical and educational material related to artificial intelligence. By browsing Ubuy’s intuitive website, you can discover various purchase options, ensuring you get the relevant editions and formats that suit your needs.

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Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios.

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Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

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What Stands Out

Real Use Cases

This book uses real-world AI examples to demonstrate concepts, providing a practical understanding for readers and enabling them to apply machine intelligence in their own projects effectively.

Hands-on Approach

Developers learn by doing, with step-by-step instructions that facilitate creating AI solutions from the ground up, making complex topics accessible even to beginners.

Comprehensive Knowledge

Covering a wide range of AI applications, this resource equips readers with the skills to tackle various challenges in machine learning, thus enhancing their competitive advantage in the tech marketplace.

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Publisher	Packt Publishing
Publication date	May 31, 2018
Language	English
Print length	490 pages
ISBN-10	1788990544
ISBN-13	978-1788990547
Item Weight	2 pounds (910 grams)
Dimensions	7.5 x 1.11 x 9.25 inches (19.1 x 2.8 x 23.5 cm)

Who Should Buy?

Aspiring Developers
Ideal for beginners looking to understand AI concepts by working on practical, real-world applications and examples.
Educators and Trainers
Useful for instructors who want to teach AI through engaging and applicable use cases that inspire students.
Data Enthusiasts
Beneficial for data scientists interested in hands-on projects to enhance their skills in machine learning and AI.

Advanced Professionals
Not suitable for seasoned AI experts seeking in-depth theoretical knowledge or advanced methodologies beyond introductory content.

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Intelligence & Semantics Editorial Review

The "Artificial Intelligence By Example" book appears to have received mixed reviews from customers. One customer complained about the lack of information about artificial intelligence and the distracting use of numbers in the content. Another customer expressed disappointment with the low-quality paper and lack of colored figures in the book, despite its fancy cover page. However, a positive review praised the book for being comprehensive, taking the reader through the journey of understanding artificial intelligence from the basics to complex concepts, such as quantum computing. The customer highly recommended the book for its ability to transform the reader into an adaptive thinker.

Customer Reviews & Ratings

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Comprehensive and thorough content
Takes the reader through the journey of understanding artificial intelligence from basics to advanced concepts
Highly recommended by a satisfied customer

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Lack of information about artificial intelligence in the content

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Acquire advanced AI, machine learning, and deep learning design skills
Develop out-of-the-box thinking to face any challenge the market presents
Understand future AI solutions and adapt quickly to them
Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology
A simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI
Prior experience with Python and statistical knowledge is essential

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Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

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