KEA-Karnataka Assistant Professor - Management Subject Exam Ebook-PDF PDF Download
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Author: Dr Chandresh Agrawal
Publisher: Chandresh Agrawal
ISBN:
Category : Business & Economics
Languages : en
Pages : 148
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Book Description
SGN. The Ebook KEA-Karnataka Assistant Professor - Management Subject Exam Ebook-PDF Covers Management Objective Questions From Similar Exams With Answers.
Author: Dr Chandresh Agrawal
Publisher: Chandresh Agrawal
ISBN:
Category : Business & Economics
Languages : en
Pages : 148
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Book Description
SGN. The Ebook KEA-Karnataka Assistant Professor - Management Subject Exam Ebook-PDF Covers Management Objective Questions From Similar Exams With Answers.
Author:
Publisher: Dr Chandresh Agrawal
ISBN:
Category : Business & Economics
Languages : en
Pages : 148
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Book Description
SGN.The Ebook KEA-Karnataka Assistant Professor Exam-Management Subject Ebook-PDF Covers Management Objective Questions From Similar Exams With Answers.
Author: Dr Chandresh Agrawal
Publisher: Chandresh Agrawal
ISBN:
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
SGN. The Ebook KEA-Karnataka Assistant Professor Exam-Commerce Subject Covers Objective Questions From Various Similar Exams With Answers.
Author: Chandresh Agrawal
Publisher: Chandresh Agrawal
ISBN:
Category : Business & Economics
Languages : en
Pages : 98
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Book Description
SGN. The Ebook KEA-Karnataka Assistant Professor Exam-Economics Subject Covers Objective Questions From Various Similar Papers With Answers.
Author: Pratiyogita Darpan
Publisher: Upkar Prakashan
ISBN: 8174822151
Category :
Languages : en
Pages : 498
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Book Description
Author: SP Bakshi
Publisher: Arihant Publications India limited
ISBN: 9385980777
Category : English
Languages : en
Pages : 704
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Book Description
A number of national level examinations like IAS Mains, State PCS, IES, IFS, etc. check the English language aptitude of candidates with a compulsory English language paper. This book has been designed for such examinations which assess the English language abilities in detail.The present book covering English Language in descriptive nature has been divided into four parts namely Writing Skills, Comprehension Skills, Grammar Skills & Verbal Skills.Part A has been further divide into Essay Writing, Expansion Writing, Report Writing, Precis Writing and Letter Writing. The Verbal Skills section covers Paronyms & Homonyms, One Word Substitutions, Synonyms & Antonyms, Phrasel Verbs, etc. whereas the Grammar Skills section covers The Function of Tenses, Voice, Narration, Synthesis, Prepositions, etc. Each chapter in the book contains detailed theory including a number of sample examples in a simple & easier way to understand the topics well. Workbook Exercises have been provided in between the chapters for Part B, C & D to help aspirants practice the concepts discussed in each chapter. Answers for all the questions have been given at the end of the section. As the book covers varied aspects of English language, it for sure will help aspirants score high in the upcoming national and state level competitive and recruitment examinations.
Author: Catherine Hein
Publisher: International Labor Office
ISBN:
Category : Business & Economics
Languages : en
Pages : 480
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Book Description
Covers childcare centres, vouchers, subsidies, out-of-school care, parental leave and flexible working.
Author: Gopal Garg
Publisher: Upkar Prakashan
ISBN: 935013330X
Category : Competitive exams
Languages : en
Pages : 728
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Book Description
Author: Murray Fowler
Publisher: John Wiley & Sons
ISBN: 0470344113
Category : Medical
Languages : en
Pages : 597
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Book Description
Elephants are possibly the most well-known members of the animal kingdom. The enormous size, unusual anatomy, and longevity of elephants have fascinated humans for millenia. Biology, Medicine, and Surgery of Elephants serves as a comprehensive text on elephant medicine and surgery. Based on the expertise of 36 scientists and clinical veterinarians, this volume covers biology, husbandry, veterinary medicine and surgery of the elephant as known today. Written by the foremost experts in the field Comprehensively covers both Asian and African elephants Complete with taxonomy, behavioral, geographical and systemic information Well-illustrated and organized for easy reference
Author: Dipanjan Sarkar
Publisher: Apress
ISBN: 1484243544
Category : Computers
Languages : en
Pages : 688
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Book Description
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques. There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release. What You'll Learn • Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.
