Artificial Intelligence Programming with Python: From Zero to Hero
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Artificial Intelligence Programming with Python: From Zero to Hero
A thorough introduction to artificial intelligence programming using Python from scratch with code examples.
Artificial Intelligence Programming with Python: From Zero to Hero
Numéro d'article: 47321800

Artificial Intelligence Programming with Python: From Zero to Hero

88% des répondants recommanderaient ceci à un ami

Numéro d'article: 47321800

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A thorough introduction to artificial intelligence programming using Python from scratch with code examples.
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Ce qui se démarque

Comprehensive Learning
This book guides readers from beginner to advanced levels, ensuring a thorough understanding of AI programming concepts using Python, catering to readers with no prior experience.
Hands-On Projects
Includes practical projects that allow learners to apply knowledge in real-world scenarios, enhancing understanding through experience while building a robust portfolio.
Up-to-Date Techniques
Covers the latest trends and methodologies in AI and Python programming, ensuring learners are equipped with current, relevant skills to excel in the field.

Détails du produit

Shop Artificial Intelligence Programming with Python: From Zero to Hero online at a best price in Haiti. 1119820863
  • Hands-on roadmap to using Python for artificial intelligence programming
  • Thorough introduction to artificial intelligence fundamentals
  • Simple and plain language with illustrative code examples
  • Covers topics such as machine learning and deep learning
  • Includes introductions to MATLAB, Python, AI, and machine learning
  • Suitable for those with basic programming knowledge
Publisher Wiley
Publication date March 29, 2022
Edition 1st
Language English
Print length 720 pages
ISBN-10 1119820863
ISBN-13 978-1119820864
Item Weight 2.55 pounds (1.16 kg)
Dimensions 7.3 x 1.3 x 9.1 inches (18.5 x 3.3 x 23.1 cm)

À qui est-ce destiné ?

Suitable For
  • Beginners in AI

    Ideal for users with no prior experience in AI, offering foundational knowledge and practical skills in programming.

  • Python Enthusiasts

    Great for Python programmers looking to expand their expertise into artificial intelligence applications and techniques.

  • Practical Learners

    Beneficial for those who prefer hands-on learning through projects, enhancing understanding of AI concepts through practical examples.

Not Suitable For
  • Experienced Programmers

    Not suitable for advanced developers familiar with AI concepts, as it may not provide sufficient depth or challenge.

DESCRIPTION DU PRODUIT

Artificial Intelligence Programming with Python: From Zero to Hero

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Questions et réponses des clients

  • question: What is the focus of 'Artificial Intelligence Programming with Python: From Zero to Hero'?

    répondre: The book primarily focuses on introducing readers to the concepts of artificial intelligence (AI) using Python programming. It covers essential topics such as machine learning, neural networks, and natural language processing. By approaching AI from a foundational level, it caters to beginners as well as those with some programming background, easing their understanding of complex algorithms and practical applications in AI development.
  • question: Is prior programming knowledge required to understand this book?

    répondre: No prior programming knowledge is necessary to benefit from this book. It is designed to take beginners through the basics of Python programming while gradually introducing AI concepts. Each section builds upon the last, making it accessible for readers without a technical background. This approach enables anyone interested in AI to learn programming and apply it in real-world scenarios, such as developing chatbots or predictive models.
  • question: What programming concepts will I learn from this book?

    répondre: The book covers several essential programming concepts, including variables, data types, control structures, functions, and libraries used in Python. As you progress, you will also learn how to use frameworks like TensorFlow or PyTorch, which are crucial for deeper machine learning projects. This comprehensive learning path ensures you not only understand Python but also can effectively implement AI projects in practical settings.
  • question: Can I use this book for a complete self-study on AI?

    répondre: Absolutely! 'Artificial Intelligence Programming with Python' is structured to facilitate self-study. It includes examples, exercises, and projects that allow you to practice independently. Each chapter is designed to reinforce learning, making it easier for you to revisit concepts as needed. By applying what you learn through hands-on projects like creating AI models, you can build a solid foundation in AI programming.
  • question: Does this book include real-world applications of AI?

    répondre: Yes, the book emphasizes real-world applications of AI throughout its chapters. It provides insightful case studies and project ideas that showcase how AI can be implemented in various industries such as healthcare, finance, and robotics. This practical approach not only enhances your understanding but also inspires innovative thinking about how to employ AI technologies in solving real-life problems.
  • question: What tools and libraries will I be using?

    répondre: You will be using a variety of tools and libraries essential for AI programming with Python, including NumPy for numerical operations, Pandas for data manipulation, and Matplotlib for data visualization. Moreover, you may delve into machine learning libraries like Scikit-learn and deep learning frameworks such as Keras. These tools are integral in building robust AI applications and are commonly used in the industry.
  • question: Is this book suitable for advanced AI practitioners?

    répondre: While the book serves as an excellent foundation for beginners, advanced practitioners may find some sections basic. However, the key concepts and techniques discussed can supplement their knowledge and provide insights into Python's AI capabilities. Advanced users may leverage the book as a resource for refining their skills or as a reference for practical implementations, even if they already have a strong background in AI.
  • question: How is the content structured throughout the book?

    répondre: The book is organized into progressive sections that first establish foundational programming skills before diving into AI concepts. It begins with Python basics and progressively introduces topics such as supervised and unsupervised learning. Each chapter builds upon the knowledge you've gained, ensuring a logical flow and better comprehension. Many chapters also include exercises for practical experience, solidifying your understanding of the material.
  • question: What makes this book stand out from others on AI programming?

    répondre: This book distinguishes itself through its beginner-friendly approach and emphasis on practical application. Unlike other books that may assume prior knowledge, it is meticulously crafted to guide novices through intricate AI concepts without overwhelming them. Additionally, the comprehensive hands-on projects allow readers to see immediate results, stimulating engagement and encouraging a deeper interest in artificial intelligence.
  • question: Where can I buy Artificial Intelligence Programming with Python: From Zero to Hero 1st Edition in Haiti?

    répondre: You can purchase 'Artificial Intelligence Programming with Python: From Zero to Hero 1st Edition' on Ubuy. This platform offers a convenient option for finding this book in Haiti, along with additional resources and related products that may enhance your learning experience in AI programming.

Intelligence & Semantics Editorial Review

Artificial Intelligence Programming with Python: From Zero to Hero offers a substantial examination of AI concepts and their applications through Python examples. The author does well in breaking down complex AI topics, making it accessible for beginners. However, readers note a lack of depth in explanations and the absence of source code for practical application. While the book provides various code snippets, some critiques emphasize that the exercises may not effectively foster a deep understanding of model development. Overall, despite the book's polarizing reception, many appreciate its insightful overview of future AI trends and its well-organized structure for readers who are new to the subject.

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Avantages

  • Comprehensive overview of AI concepts and applications
  • Accessible for beginners with no prior knowledge
  • Engaging writing style keeps readers interested
  • Breaks down complex topics into understandable sections
  • Useful for those looking to communicate with AI developers

Les inconvénients

  • Lacks practical source code for hands-on learning

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Caractéristiques et avantages

  • Introduction to artificial intelligence, machine learning, and deep learning
  • Discussions on supervised and unsupervised machine learning, as well as semi-supervised learning
  • Includes practical AI and Python cheat sheet quick references
  • Ideal for those with basic programming knowledge seeking to understand foundational concepts in AI and development

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