Sumit jain (80 resultados)

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Condición: New. pp. 300 Figures Maps.

Condición: New. pp. 344 Figures, Illus.

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Condición: New. pp. 344 1st Indian Edition.

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Hardbound. Condición: As New. New. Dictionary of Agronomy is a comprehensive compilation of the terminology used in agronomy. It covers the whole range of agronomical terms and includes essential entries from such fields as soil science hydrology instrumentation nuclear agriculture sewerage waste water use plant physiology plant protection ecology agricultural economics meteorology and soil conservation. There are also terms related to modern agricultural techniques. The language of the book is easy to understand and the bold headwords provide quick reference to the terms typical in agronomy. The dictionary has been designed to achieve the purpose of providing an authoritative source to which one can turn to with confidence for the meanings of the common as well as special terms used in modern agronomy. 336 pp.…

Condición: New. pp. 344.

Hardcover. Condición: New. ISBN:9788176221412.

Hardcover. Condición: New. ISBN:9788176221658.

Condición: New. pp. 336 Illus.

Condición: New. pp. 336 1st Indian Edition.

Condición: New. pp. 336.

Hardcover. Condición: New. ISBN:9788176221429.

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Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. First Edition. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

Paperback. Condición: New. Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system.This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways.What You Will LearnGain the fundamentals of deep learning and its mathematical prerequisitesDiscover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classificationWho This Book Is ForSoftware developers who are curious to try out deep learning with NLP.…

Condición: New.

Paperback. Condición: New.

Paperback. Condición: New. Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system.This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways.What You Will LearnGain the fundamentals of deep learning and its mathematical prerequisitesDiscover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classificationWho This Book Is ForSoftware developers who are curious to try out deep learning with NLP.…

Contents Preface I Ingredients of News 1 Meaning definition and nature of news 2 The news process 3 Basic components of news story II Journalism A Historical Context 4 A historical perspective to Journalism III Concepts and Principles in Journalism 5 Basic Terminology in Journalism 6 Concept and principles in Journalism 7 The organizing of the news story 8 Copy presentation of news 9 Newsroom books and interviewing basics 10 Indian Newspapers agencies 11 Quotes and Attribution IV Language and Principles of Writing 12 Language and style of writing 13 Press and Media Conferences 14 Follow-ups 15 Pressures on Journalists 16 Rudolf Flesch Formula V Responsibility to Society 17 Press and democracy 18 Crime reporting 19 News for Minorities 20 Laws in Journalism 21 The role of press in India 22 Journalism trends in India 23 Use of Internet in Journalism 24Reporting Death and Disaster 25 Radio and Television Bulletins 26 Feature 27 Obituaries 28 Reviewing 29 Sport Basics 30 Sport in Different Media Glossary Bibliography IndexAdvertisements of India Shining spiritualistic image-making of political leaders have become a very common practice over Indian media In India having kicked-off a process of economic reform quite early the forces of privatization and globalization have given a free rein to dramatic changes in the country?s media Amidst a deluge of film-based entertainment news and current affairs provided by private channels All India Radio and Doordarshan once the country?s officially anointed public service broadcasters have become undecided incarnations of their former selves This time in the history of Indian media is critical it?s overwhelming in the quick and dramatic changes over the last few years Today?s vastly changed media scenario calls for a recasting of the role of media in promoting pro-social changeThe purpose of Journalism is to provide people with the information they need to be free and self-governing ?as clear a statement of purpose as has ever been written They are paid by the corporation but work for their readers their copy is screened buy editors who are appointed by management the pressure of entertainment news eats away at their purity and their owners more and more coming from outside the news business are motivated primarily by the bottom line The departments of journalism started renaming themselves after the mid-1970s as department of journalism and mass communication department of communication department of journalism and communication etc 292 pp.…

Condición: As New. Unread book in perfect condition.

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