Buy used Science and Mathematics Textbooks books online in India
Buy Second Hand Books, Used Books Online In India
RS Aggarwal Maths Class 10
Secondary School Mathematics For Class - 10 is based on the syllabus prescribed by the CBSE and features solved examples for each topic. These solved examples are then followed by exercises, different types of questions, and test papers to buttress the preparation required from young mathematicians to achieve success in their exams.Each topic is developed systematically, contributing to conceptual clarity in that area. In addition, the book provides material for continuous and comprehensive evaluation such as objective questions and test papers at the end of each chapter. This forms the subject for formative assessment, helping the student and teacher understand the areas of improvement required.
Science part 2 for class 10
The theory of Diophantine equation is an ancient subject that typically involves solving polynomial equations in integers. It is well known that a Diophantine equation is an equation with integer coefficient and multiple variables ( 2) having integer solutions. There is no universal method available to know whether a Diophantine equation has a solutions or finding all solutions, if it exists. Proving that even simple Diophantine equations have no solutions may require very sophisticated methods and in such cases, a lot of deep and beautiful mathematics get generated as a result. It is worth to observe that Diophatine equations are rich in variety. A collection of special Problems on biquadratic equations in 3,4,5 & 6 variables has been treated in sections A to D respectively. Different sets of integer solutions to each of the biquadratic diophatine equations are illustrated.
Artificial Intelligence : A Modern Approach
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa
Mathematics for Machine learning
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Vector & 3D Geometry
1. Skill in Mathematics’ series is prepared for JEE Main and Advanced papers 2. It is a highly recommended textbook to develop a strong grounding in Differential Calculus 3. The book covers the entire syllabus into 8 chapters 4. Each chapter includes a wide range of questions that are asked in the examinations Good foundational grip is required in the Differential Calculus, while you are preparing for JEE Mains & Advanced or any other engineering. Bringing up the series “Skills in Mathematics for JEE Main & Advanced for Differential Calculus” that is carefully revised with the sessionwise theory and exercise; to help candidates to learn & tackle the mathematical problems. The book has 8 Chapters covering the whole syllabus for the JEE Mains and Advanced as prescribed. Each chapter is divided into sessions giving complete clarity to concepts. Apart from sessionwise theory, JEE Type examples and Chapter Exercise contain huge amount of questions that are provided in every chapter under Practice Part. Prepared under great expertise, it is a highly recommended textbook to develop a strong grounding in Algebra to perform best in JEE and various engineering entrances. TOC: Essential Mathematical Tools, Differentiation, Functions, Graphical Transformations, Limits, Continuity and Differentiability, dy/dx As a Rate Measurer & Tangents, Normals, Monotonicity, Maxima and Minima.
