Eleven Commandments of Life Maximization (Hindi)

Eleven Commandments of Life Maximization (Hindi)
Title Eleven Commandments of Life Maximization (Hindi) PDF eBook
Author Santosh Nair
Publisher Jaico Publishing House
Pages 173
Release 2014-01-04
Genre Self-Help
ISBN 8184954921

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Now in Hindi The brutal truth of why you are…where you are Eleven Commandments of Life Maximization does not claim to offer instant happiness, nor make us richer, thinner and younger-looking, but it tells us the brutal truth of why we are where we are and how to live our life. These are tried and tested rules, backed by real examples from the contemporary world, that will lead you to the unflinching path of Life Maximization. The easy-to-follow exercises at the end of every chapter ensure that you have assimilated the lesson and can now apply it practically to your life.

Eleven Commandments of Life Maximization

Eleven Commandments of Life Maximization
Title Eleven Commandments of Life Maximization PDF eBook
Author Santosh Nair
Publisher Jaico Publishing House
Pages 149
Release 2014-01-04
Genre Self-Help
ISBN 818495378X

Download Eleven Commandments of Life Maximization Book in PDF, Epub and Kindle

The brutal truth of why you are…where you are Eleven Commandments of Life Maximization does not claim to offer instant happiness, nor make us richer, thinner and younger-looking, but it tells us the brutal truth of why we are where we are and how to live our life. These are tried and tested rules, backed by real examples from the contemporary world, that will lead you to the unflinching path of Life Maximization. The easy-to-follow exercises at the end of every chapter ensure that you have assimilated the lesson and can now apply it practically to your life.

Eleven Commandments of Life Maximization (Marathi)

Eleven Commandments of Life Maximization (Marathi)
Title Eleven Commandments of Life Maximization (Marathi) PDF eBook
Author Santosh Nair
Publisher Jaico Publishing House
Pages 213
Release 2017-02-23
Genre Self-Help
ISBN 8184955723

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WHEN HOW AND WHOM NOT TO RECRUIT AS INSURANCE ADVISOR`

WHEN HOW AND WHOM NOT TO RECRUIT AS INSURANCE ADVISOR`
Title WHEN HOW AND WHOM NOT TO RECRUIT AS INSURANCE ADVISOR` PDF eBook
Author RAJESH TAGORE
Publisher Leader Factory
Pages 394
Release
Genre Business & Economics
ISBN 9352121503

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Mastering the art and science of getting right people

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation
Title Discrete Choice Methods with Simulation PDF eBook
Author Kenneth Train
Publisher Cambridge University Press
Pages 399
Release 2009-07-06
Genre Business & Economics
ISBN 0521766559

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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

All of Statistics

All of Statistics
Title All of Statistics PDF eBook
Author Larry Wasserman
Publisher Springer Science & Business Media
Pages 446
Release 2013-12-11
Genre Mathematics
ISBN 0387217363

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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.

Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms
Title Information Theory, Inference and Learning Algorithms PDF eBook
Author David J. C. MacKay
Publisher Cambridge University Press
Pages 694
Release 2003-09-25
Genre Computers
ISBN 9780521642989

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Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.