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Semester-Plus-C04-Sem 2

Semester-Plus-C04-Sem 2 PDF Author: Wilson Rita
Publisher: Saraswati House Pvt Ltd
ISBN: 9386137305
Category : Language Arts & Disciplines
Languages : en
Pages : 312

Book Description
SemesterPlus is an engaging and interactive series of 10 books covering English, Maths, Science/EVS, Social Studies and General Knowledge. The entire syllabi is judiciously and evenly distributed into semesters in each grade. The series combines theoretical learning with a practical, participative and hands-on approach.

Semester-Plus-C04-Sem 2

Semester-Plus-C04-Sem 2 PDF Author: Wilson Rita
Publisher: Saraswati House Pvt Ltd
ISBN: 9386137305
Category : Language Arts & Disciplines
Languages : en
Pages : 312

Book Description
SemesterPlus is an engaging and interactive series of 10 books covering English, Maths, Science/EVS, Social Studies and General Knowledge. The entire syllabi is judiciously and evenly distributed into semesters in each grade. The series combines theoretical learning with a practical, participative and hands-on approach.

Semester-Plus-C04-Sem 1

Semester-Plus-C04-Sem 1 PDF Author: Wilson Rita
Publisher: Saraswati House Pvt Ltd
ISBN: 9386137291
Category : Language Arts & Disciplines
Languages : en
Pages : 312

Book Description
SemesterPlus is an engaging and interactive series of 10 books covering English, Maths, Science/EVS, Social Studies and General Knowledge. The entire syllabi is judiciously and evenly distributed into semesters in each grade. The series combines theoretical learning with a practical, participative and hands-on approach.

MATH 221 FIRST Semester Calculus

MATH 221 FIRST Semester Calculus PDF Author: Sigurd Angenent
Publisher:
ISBN: 9781505204841
Category :
Languages : en
Pages : 134

Book Description
MATH 221 FIRST Semester CalculusBy Sigurd Angenent

Probability and Statistics

Probability and Statistics PDF Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704

Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.

All of Statistics

All of Statistics PDF Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446

Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Exercises And Problems In Linear Algebra

Exercises And Problems In Linear Algebra PDF Author: John M Erdman
Publisher: World Scientific
ISBN: 9811220425
Category : Mathematics
Languages : en
Pages : 220

Book Description
This book contains an extensive collection of exercises and problems that address relevant topics in linear algebra. Topics that the author finds missing or inadequately covered in most existing books are also included. The exercises will be both interesting and helpful to an average student. Some are fairly routine calculations, while others require serious thought.The format of the questions makes them suitable for teachers to use in quizzes and assigned homework. Some of the problems may provide excellent topics for presentation and discussions. Furthermore, answers are given for all odd-numbered exercises which will be extremely useful for self-directed learners. In each chapter, there is a short background section which includes important definitions and statements of theorems to provide context for the following exercises and problems.

Introduction to Machine Learning

Introduction to Machine Learning PDF Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262028182
Category : Computers
Languages : en
Pages : 639

Book Description
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Modern Physics

Modern Physics PDF Author: Paul Allen Tipler
Publisher: Worth Pub
ISBN: 9780879010881
Category : Science
Languages : en
Pages : 502

Book Description
For the intermediate-level course, the Fifth Edition of this widely used text takes modern physics textbooks to a higher level. With a flexible approach to accommodate the various ways of teaching the course (both one- and two-term tracks are easily covered), the authors recognize the audience and its need for updated coverage, mathematical rigor, and features to build and support student understanding. Continued are the superb explanatory style, the up-to-date topical coverage, and the Web enhancements that gained earlier editions worldwide recognition. Enhancements include a streamlined approach to nuclear physics, thoroughly revised and updated coverage on particle physics and astrophysics, and a review of the essential Classical Concepts important to students studying Modern Physics.

March's Advanced Organic Chemistry

March's Advanced Organic Chemistry PDF Author: Michael B. Smith
Publisher: John Wiley & Sons
ISBN: 0470084944
Category : Science
Languages : en
Pages : 2379

Book Description
The Sixth Edition of a classic in organic chemistry continues its tradition of excellence Now in its sixth edition, March's Advanced Organic Chemistry remains the gold standard in organic chemistry. Throughout its six editions, students and chemists from around the world have relied on it as an essential resource for planning and executing synthetic reactions. The Sixth Edition brings the text completely current with the most recent organic reactions. In addition, the references have been updated to enable readers to find the latest primary and review literature with ease. New features include: More than 25,000 references to the literature to facilitate further research Revised mechanisms, where required, that explain concepts in clear modern terms Revisions and updates to each chapter to bring them all fully up to date with the latest reactions and discoveries A revised Appendix B to facilitate correlating chapter sections with synthetic transformations

Advanced Engineering Mathematics

Advanced Engineering Mathematics PDF Author: Michael Greenberg
Publisher:
ISBN: 9781292042541
Category : Engineering mathematics
Languages : en
Pages : 1344

Book Description
Appropriate for one- or two-semester Advanced Engineering Mathematics courses in departments of Mathematics and Engineering. This clear, pedagogically rich book develops a strong understanding of the mathematical principles and practices that today's engineers and scientists need to know. Equally effective as either a textbook or reference manual, it approaches mathematical concepts from a practical-use perspective making physical applications more vivid and substantial. Its comprehensive instructional framework supports a conversational, down-to-earth narrative style offering easy accessibility and frequent opportunities for application and reinforcement.