The Story
Step-by-Step Practical Learning with the Best Book for Artificial Intelligence Class 10
Class 10 CBSE brings technical subjects into sharper focus, especially when preparing for board-level evaluation. Artificial Intelligence is no longer just a theoretical topic; it requires hands-on familiarity with workflows, data structures, and real-world tools. Decoding Artificial Intelligence for CBSE Class 10, authored by Dr Sachin Gupta and Dr Bhoomi Gupta, bridges the gap between understanding "what AI is" and experiencing "how AI works" in practice.
As a highly recommended choice among reference books for AI class 10, this textbook simplifies complex data science concepts using everyday scenarios, clear visuals, and structured activities. It serves as an ideal, exam-oriented resource for schools offering CBSE Artificial Intelligence Class 10 as a specialized skill subject.
Key Learning Tools in this Class 10 AI Book:
- Full Syllabus Coverage: Directly maps both Employability Skills and Subject-Specific Skills according to the officially prescribed Class 10 AI syllabus.
- Jargon Alerts: Features dedicated text boxes that instantly decode complex technical vocabulary into simple, everyday language so students never get stuck.
- Relatable Analogies: Explains advanced digital workflows through familiar, real-life situations, making abstract logic easy to recall during exams.
Exam-Focused Evaluation and Hands-On No-Code Projects
Scoring well in high school vocational subjects requires a balanced approach between theoretical knowledge and practical execution. This artificial intelligence class 10 book provides a structured path for both classroom learning and self-assessment at home.
- Advanced Practical Modules: Following the guidelines in the preface of the book, students get to explore an expanded AI Project Cycle, advanced AI domains like Computer Vision and Natural Language Processing (NLP), and ethical AI frameworks that highlight bias reduction.
- No-Code Platform Integration: The textbook introduces real-world data handling by incorporating interactive labs and guided projects using no-code AI tools, such as Orange Data Mining for sentiment analysis and data classification.
- Complete Board Exam Support: Includes a fully solved Model Test Paper and an unsolved Practice Paper to help students self-evaluate. Additionally, students can scan built-in QR codes to access an updated board-style sample paper with detailed solutions, marking schemes, and free lecture videos hosted on scslearning.io.
Details & Craftsmanship
Every detail has been carefully considered to bring you the perfect product.
Details & Craftsmanship
Every detail has been carefully considered to bring you the perfect product.
Description
Step-by-Step Practical Learning with the Best Book for Artificial Intelligence Class 10
Class 10 CBSE brings technical subjects into sharper focus, especially when preparing for board-level evaluation. Artificial Intelligence is no longer just a theoretical topic; it requires hands-on familiarity with workflows, data structures, and real-world tools. Decoding Artificial Intelligence for CBSE Class 10, authored by Dr Sachin Gupta and Dr Bhoomi Gupta, bridges the gap between understanding "what AI is" and experiencing "how AI works" in practice.
As a highly recommended choice among reference books for AI class 10, this textbook simplifies complex data science concepts using everyday scenarios, clear visuals, and structured activities. It serves as an ideal, exam-oriented resource for schools offering CBSE Artificial Intelligence Class 10 as a specialized skill subject.
Key Learning Tools in this Class 10 AI Book:
- Full Syllabus Coverage: Directly maps both Employability Skills and Subject-Specific Skills according to the officially prescribed Class 10 AI syllabus.
- Jargon Alerts: Features dedicated text boxes that instantly decode complex technical vocabulary into simple, everyday language so students never get stuck.
- Relatable Analogies: Explains advanced digital workflows through familiar, real-life situations, making abstract logic easy to recall during exams.
Exam-Focused Evaluation and Hands-On No-Code Projects
Scoring well in high school vocational subjects requires a balanced approach between theoretical knowledge and practical execution. This artificial intelligence class 10 book provides a structured path for both classroom learning and self-assessment at home.
- Advanced Practical Modules: Following the guidelines in the preface of the book, students get to explore an expanded AI Project Cycle, advanced AI domains like Computer Vision and Natural Language Processing (NLP), and ethical AI frameworks that highlight bias reduction.
- No-Code Platform Integration: The textbook introduces real-world data handling by incorporating interactive labs and guided projects using no-code AI tools, such as Orange Data Mining for sentiment analysis and data classification.
- Complete Board Exam Support: Includes a fully solved Model Test Paper and an unsolved Practice Paper to help students self-evaluate. Additionally, students can scan built-in QR codes to access an updated board-style sample paper with detailed solutions, marking schemes, and free lecture videos hosted on scslearning.io.
