Mathematics With Applications in Management and Economics/Solutions Manual


Earl K. Bowen - 1987
    

Elements Of Discrete Mathematics: Solutions Manual


Chung Laung Liu - 1999
    

Theory of Econometrics


A. Koutsoyiannis - 1977
    [It] assumes only college algebra and introductory statistics since 'the greatest attention is given to economic aspects of econometrics.'" The author's extensive revisions of several chapters and sections are aimed at further clarification of important and relevant data.àR

Introductory Micro Economics for Class 12


Sandeep Garg
    It includes the exercises covering the entire syllabus of Mathematics pertaining to IIT JEE, AIEEE and other state level engineering examination preparation. Although all the topics are covered very well but the topics of Algebra have an edge over others. Permutations and Combinations, Probability, Quadratic equations and Determinants are worth mentioning. It's a one stop book for beginners. It includes illustrative solved examples which help in explaining the concepts better.

Data Mining: Practical Machine Learning Tools and Techniques


Ian H. Witten - 1999
    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Advanced Concepts in Operating Systems


Mukesh Singhal - 1994
    Numerous examples are provided to reinforce the concepts and relevant case studies illustrate the concepts and mechanisms described.

Vision: A Computational Investigation into the Human Representation and Processing of Visual Information


David Marr - 1982
    A computational investigation into the human representation and processing of visual information.

Health and Physical Education Class 12


V.K. Sharma
    The series demonstrates a deep understanding of the principles and concepts related to the subject while providing students with all the pedagogical tools necessary for comprehension and application. The fully revised edition, which includes all the latest developments in the field, in its colourful avatar will not only enhance the teaching-learning process but will also make it more enjoyable.

Environment


Shankar IAS Academy - 2019
    Important-Process to Activate 1 year subscription: Obtain PIN from scratch-off pad; Go to the website link mentioned on the voucher; Enter PIN and follow instructions Note- this is the activation key card; Software needs to be downloaded from the link after following the instructions; Approximate size- 300 MB; Download speed depends on the internet connection Real time Anti Malware - Blocks/Prevents threats and issues like viruses, malware, Trojans, ransomware and spyware It has an adaptive Two-Way Firewall- which safeguards your system For Technical Assistance please contact McAfee India Support on McAfee-Customer Service Tel: 1 800 3000 2656 (Toll Free); 1800 3000 2454, for any activation issues use mcafee.com/activate 15 offers from 135.00

Introduction to Machine Learning with Python: A Guide for Data Scientists


Andreas C. Müller - 2015
    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

Introductory Microeconomics - Class XII (with CD)


T.R. Jain
    A BOOK OF MICROECONOMICS.

Succeeding with Your Master's Dissertation: A Step-By-Step Handbook


John Biggam - 2008
     Using case examples of both good and bad student practice, the handbook takes students through each step of the dissertation process, from their initial research proposal to the final submission. The author uses clear illustrations of what students need to do - or not do - to reach their potential, helping them to avoid the most common pitfalls. This essential handbook covers: Producing focused and relevant research objectives Writing your literature review Citing your sources correctly Clearly explaining your use of research methods Writing up your findings Summarizing your work by linking your conclusions to your initial proposal Understanding marking schemes Aimed primarily at Master's students or students on short postgraduate courses in business, humanities and the social sciences, this book is also key reading for supervisors and undergraduates considering postgraduate study.

Neural Networks and Deep Learning


Michael Nielsen - 2013
    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

Research Methodology: Methods and Techniques


C.R. Kothari - 1985
    Research Methodology Book

Understanding Computers and Cognition: A New Foundation for Design


Terry Winograd - 1986
    This volume is a theoretical and practical approach to the design of computer technology.