S. Chand’s Objective Physics For IIT-JEE, AIEEE, AIIMS, AIPMT

S. Chand’s Objective Physics For IIT-JEE, AIEEE, AIIMS, AIPMT
Author: Jain Mahesh
Publisher: S. Chand Publishing
Total Pages: 1664
Release: 2010
Genre: Study Aids
ISBN: 9788121915304

This book is written for the students preparing for the Medical and Engineering Entrance Examinations of all Indian Universities and Institutes. It is also useful for Civil Services (Prelim), J.R.F, other Examinations.

Mathematics And Statistics For Managemen

Mathematics And Statistics For Managemen
Author: K B Akhilesh (Yogoda)
Publisher: Vikas Publishing House
Total Pages: 910
Release: 2009-11-01
Genre:
ISBN: 9788125915317

The Book Provides Quantitative Tools To Tackle Real-Life Problems Of The Corporate World. It Has Been Designed To Prepare Mba Students To Take A Straight Plunge Into The Streams Of Mathematics, Statistics And Operations Research For Business Purposes. It

Disha's Rapid General Knowledge 2019 for Competitive Exams

Disha's Rapid General Knowledge 2019 for Competitive Exams
Author: Disha Experts
Publisher: Disha Publications
Total Pages: 121
Release: 2018-02-06
Genre:
ISBN: 9387421457

Disha's Rapid General Knowledge for Competitive Exams is the quickest way to Brush Up your General Knowledge for the Upcoming Competitive Exams. The book presents a panoramic view of India and the World along with History, Polity, Geography, Environment, Economy, General science, art and culture, sports. The text is presented in the form of Mind Maps, Infographics, Charts, Tables for better retention.

Schaum's Outline of Mathematical Methods for Business and Economics

Schaum's Outline of Mathematical Methods for Business and Economics
Author: Edward T. Dowling
Publisher: McGraw Hill Professional
Total Pages: 396
Release: 2009-12-18
Genre: Study Aids
ISBN: 0071702466

Confused by the math of business and economics? Problem solved. Schaum's Outline of Mathematical Methods for Business and Economics reviews the mathematical tools, topics, and techniques essential for success in business and economics today. The theory and solved problem format of each chapter provides concise explanations illustrated by examples, plus numerous problems with fully worked-out solutions. And you don't have to know advanced math beyond what you learned high school. The pedagogy enables you to progress at your own pace and adapt the book to your own needs.

Mission MBA MAT Mock Tests and Solved papers 2021

Mission MBA MAT Mock Tests and Solved papers 2021
Author: Pallavi Tripathi
Publisher: Arihant Publications India limited
Total Pages: 1144
Release: 2020-11-24
Genre:
ISBN: 9325292211

1. Manual Provides Comprehensive treatment in all 5 Sections explaining each of them in a distinguished manner. 2. 7 MAT Previous Years’ Solved Papers [2019 – 2014] telling latest trends, weightage, short cut tricks, Fast Solving Methods etc. 3. 2 Mock Tests for Practicing the concepts 4. The book also carries GD & PI sections to improve the inner personality, team work, decision making and more. 5. Every concept is well explained in an easy & interactive manner for quick understanding. Management Aptitude Test or MAT is a national level MBA Entrance Test conducted four times a year for graduates both Computer Based and Paper Based exam for the admission to over 600 Business Schools across India. “Mission MBA MAT” opens the way to get into the good reputed Business schools & colleges. A Complete Reference Manual for MAT, providing comprehensive treatment of all the sections designed as prescribed syllabus. Theories provided in each chapter highlight the silent features of the book and making it a student friendly. With MAT Solved Papers (2020 – 2014), Previous Questions and 2 Mock Tests one can get thorough with all the theories and concepts. Other than emphasizing on theories the book has a separate section for “Corporate GK” and “Group Discussion & Personal Interview” helping you to improve your inner personality. Housed with absolute study material and thorough practice done from this book you can get assured with great ranking in the examination. TABLE OF CONTENT MAT SOLVED PAPER 2020 (Sept), MAT SOLVED PAPER 2019 (Dec), MAT SOLVED PAPER 2018 (Feb), MAT SOLVED PAPER 2017 (Feb), MAT SOLVED PAPER 2016 (Feb), MAT SOLVED PAPER 2015, MAT SOLVED PAPER 2014, English Language, Mathematical Skills, Data Interpretation & Data Sufficiency, Intelligence & Critical Reasoning, Indian Global Environment, Corporate GK (With Question Bank), Group Discussion & Personal Interview, Mock Test-1, Mock Test-2.

The Complete Guide For QUANTITATIVE APTITUDE

The Complete Guide For QUANTITATIVE APTITUDE
Author: Dr. RAVISANKAR AV
Publisher: Shashwat Publication
Total Pages: 308
Release: 2023-11-21
Genre: Art
ISBN: 9395125152

Quantitative Aptitude forms an integral part of any competitive examination. This book is a complete guide for QUANTITATIVE APTITUDE, which has been written with the sole purpose of helping examinees, college students, and teachers to enable them to solve problems based on Quantitative Aptitude - Numerical Ability with speed and accuracy. This book “The Complete Guide For QUANTITATIVE APTITUDE” has been conceptualized for the aspirants aiming for; UPSC | SSC | CAT CTET | MBA |GMAT | GRE RAILWAYS | IBPS | NDA | CDS CAMPUS RECRUITMENT | APTITUDE OTHER COMPETITIVE EXAMINATIONS Each chapter of the book provides lucid, explicit, and concise definitions and explanations of the basic principles, which are well-supported with the fully-solved examples for better understanding. The book comprises a variety of problems followed by apt solutions along with previous years' questions from various competitive examinations. The huge repository of the problems will enable aspirants to understand the exam patterns and build proficiency in solving questions.

Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323

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.