Mastering Artificial Intelligence: Practical AI Examples and Code for Beginners

· Himanshi Gupta
E-book
45
Pages

À propos de cet e-book

Mastering Artificial Intelligence: Practical AI Examples and Code for Beginners by Himanshi is your friendly, step-by-step guide to learning AI the practical way. Whether you’re a student, a career changer, or a developer curious about machine learning, this book helps you move from fundamentals to real results with clear explanations, guided examples, and beginner-friendly code. Inside, you’ll learn how modern AI systems work—covering core concepts like data preparation, supervised and unsupervised learning, model training and evaluation, and how to interpret results. You’ll also explore hands-on projects that demonstrate how to build practical AI solutions, including common tasks such as classification, prediction, and working with real-world datasets. Each chapter is designed to reduce overwhelm: start with the “why,” follow the “how,” and then apply what you’ve learned through runnable code examples. You’ll gain confidence by understanding the decisions behind modeling—not just copying scripts—so you can troubleshoot, improve performance, and iterate like a real practitioner. If you want a roadmap to AI with practical examples, approachable language, and code you can actually use, this book is for you. By the time you finish, you’ll have the skills and mindset to start building your own AI projects and continue learning with confidence.
Mastering Artificial Intelligence: Practical AI Examples and Code for Beginners by Himanshi is your friendly, step-by-step guide to learning AI the practical way. Whether you’re a student, a career changer, or a developer curious about machine learning, this book helps you move from fundamentals ...

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À propos de l'auteur

Himanshi is an AI and software enthusiast passionate about making advanced technology accessible to beginners. With a focus on practical learning, she translates complex machine learning ideas into clear explanations and actionable code examples. Her goal is to help readers build real understanding and confidence through projects that mirror common tasks in the industry. When she’s not teaching, Himanshi enjoys exploring emerging AI applications and improving how learners approach problem-solving with data and models.
Himanshi is an AI and software enthusiast passionate about making advanced technology accessible to beginners. With a focus on practical learning, she translates complex machine learning ideas into clear explanations and actionable code examples. Her goal is to help readers build real understandi...

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