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NEET A TO Z CHEMISTRY
NEET A to Z Chemistry Part 2 (Class 12) is a concise, NCERT-based guide covering the complete syllabus with clear concepts, key reactions, and formulas. With chapter-wise MCQs and previous years questions, it ensures quick revision, strong practice, and high scoring in NEET.
NEET A TO Z BIOLOGY PART2
NEET A to Z Biology Part 2 (Class 12) is a concise and exam-focused guide covering the complete NEET Biology syllabus with strong emphasis on NCERT. It includes clear theory, important diagrams, and chapter-wise practice with MCQs and previous years questions, all supported by detailed solutions. Designed for quick understanding and effective revision, this book helps students strengthen concepts and maximize their score in the NEET examination.
NCERT based worksheet for class 6 science
Science: NCERT-based Workbook is a set of practice books for grades 6-8. This series has been designed in view of learners' requirements, and it aims at enhancing their logical, creative, research, and collaborative skills. Based on the latest NCERT textbooks for science, grades 6-8, the workbooks have a large number of questions for learners to test their knowledge and understanding.Key featuresSummary: important points from the chapters in NCERT science textbooks to reinforce the concepts learntMind maps: schematic representation of important topics in each chapterWorksheets: three worksheets per chapter, containing objective, subjective, and activity-based questionsKey terms: alphabetical list of important terms with explanations given at the end of each book
Introduction to Artificial Intelligence and Machine Le
Published by Computer World PublicationThis book is specially designed for BCA Semester-6 students and covers the fundamentals of Artificial Intelligence, Machine Learning, Natural Language Processing, and Problem Solving techniques in a simple and exam-oriented manner.Topics Covered: Fundamentals of Artificial Intelligence Intelligent Agents and Rationality Problem Solving by Searching BFS, DFS, A* Algorithm, Heuristic Search Natural Language Processing (NLP) Language Models and Information Retrieval Chatbots and Voice Assistants Machine Learning Basics Supervised & Unsupervised Learning Classification, Regression, Clustering Real-world AI and ML Applications Includes:Easy explanationsUniversity-oriented contentCase studies and examplesSelf-test examination material
