Kishore v (144 Ergebnisse)

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Zustand: New. pp. vi + 236 Figures.

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Zustand: New. pp. vi + 236.

Sprache: Englisch
Verlag: I.K. International Publishing House Pvt. Ltd., 2009
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Zustand: New. pp. 416.

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Soft cover. Zustand: New. 1st Edition. From the Preface: Rasashastra (Indian alchemy) was popular by 8th centuary A.D which forms the basic unit of Ayurvedic pharmaceutics. Abundant literatures are available in form of Sanskrit texts, containing the matter pertaining to preparation of drugs from metal and mineral origin. There are many literatures which give knowledge about Rasashastra in detail. Rasaprakasha Sudhakara is one among them. Yashodhara Bhatta, the author of "Rasaprakasha Sudhakara" has explained the concepts of rasashstra in this book with the help of 13 chapters. This book is useful for both pharmaceutical and Therapeutic purpose.…

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Zustand: New. pp. xvi + 360.

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Zustand: As New. Unread book in perfect condition. Harish, Krishnapriya (illustrator).

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Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Verlag: Sarita Prakashan
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In den WarenkorbZustand: Very Good. Very Good condition. Good dust jacket. (Technology, Economics, Renewable Energy) A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

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paperback. Zustand: Fine.
Verlag: Akansha Pub, 2011
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In den WarenkorbMahatma Gandhi?s life represents a remarkable journey and personal transformation from a shy young lawyer in South Africa to the venerated fearless liberator of India from British rule Gandhi while advocating the universal principle of love also practiced it in his every day life For Gandhi all means and ends should be infused with love and respect for fellow beings While practicing and preaching this principle of means and ends matter he never took any short-cuts to achieve his goal His concepts of non-violence Satyagraha influenced many world leaders The life and teachings of Mahatma Gandhi have lasting impact especially on the humanity of modern age His life bears a living testimony upholding human values The modern world is passing through the critical phase People are living in a society of war terrorism inequality and injustice The Gandhian technique of non-violence offers the most effective remedial measure to all evils It also promotes equality reverence for life mutual trust social justice and universal brotherhood In view of the significance and applicability of Gandhi?s Philosophy and the profound impact he made on the twenty-first century there is a need to uphold the values and ideals of Gandhi and make the students better acquainted with his thought and be enthused to take up research on Gandhi The UGC has sanctioned Gandhian Studies Centre to Andhra University during the Tenth Plan to propagate Gandhian ideals among students staff and the general public and conduct research on Gandhism 124 pp.…

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Paperback. Zustand: New. Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy Key Features Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go Book Description With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. What you will learn Get a solid foundation in scientific computing using Python Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack Implement data wrangling tasks efficiently using pandas Visualize your data through various graphs and charts using matplotlib Who this book is for Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack, this book will also help you. A basic understanding of Python programming is all you need to get started. …

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Zustand: New. pp. 386.

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Hardcover. Zustand: New. Zustand des Schutzumschlags: New. 1st Edition. Contents: Preface. 1. Entrepreneurship development: A Conceptual approach/Dipak De. 2. Entrepreneurial opportunities under sustainable farming system/H. Rahman and V. Ngachan. 3. Need system and entrepreneurial motivation for a sustainable agro-venture/A.K. Mohanty, Ashok Kumar and H. Rahman. 4. Entrepreneurship Development through export quality scented rice production/A. Baishya. 5. Hybrid seed production technology for better income generation/A. Baishya. 6. Entrepreneurship development in seed production and marketing/R.Karuppaiyan, Rinchen Denzongpa and Shanti Rai. 7. Role of medicinal and aromatic plants in entrepreneurship development/Ajeya Jha. 8. Scope of entrepreneurship development through commercial horticulture/B.C. Deka. 9. Prospect of agribusiness in northeast India through horticulture development/B.C. Deka. 10. Large cardamom cultivation: A market driven technology for the entrepreneurs/M.R. Sudarshan. 11. Popularization of cut flower/dry flower technology as a lucrative enterprise/L.C. Dey and R.P. Medhi. 12. Protected vegetable cultivation: A Viable source of income generation/Kundan Kishore, H. Kalita, Boniface Lepcha, Monika. N and Brijesh Pandey. 13. Cultivation of spices: A viable option for entrepreneurship development/Ashok Kumar, A.K. Mohanty, Monika. N, H. Rahman and Kundan Kishore. 14. Income generation and employment opportunity through mushroom production/L.S. Srivastava and Tasvina R. Borah. 15. Soil testing for efficient nutrient management: A viable option for entrepreneurship/R.K. Avasthe. 16. Entrepreneurship development through vermicomposting/Kundan Kishore, H. Kalita, Monika. N, Boniface Lepcha and Brijesh Pandey. 17. Entrepreneurial scope in production of bio-control agents for sustainable agriculture/H. Kalita and K. Rameash. 18. Agro-entrepreneurship development through apiculture/H. Kalita and K. Rameash. 19. Micro-entrepreneurship development through value-addition and processing of farm enterprises/P.K. Srivastava. 20. Piggery intervention under suitable farming develops entrepreneurship/Anubrata Das, Mohan N.H. and R. Thomas. 21. Strategies for rearing free range bovines as a successful enterprise in the north-east hill region/C. Rajkhowa, A. Dhali and A. Mech. 22. Backyard poultry for entrepreneurship development among rural people/R.P. Sharma, M. Niranjan, U. Rajkumar and S.V. Rama Rao. 23. Commercial diary farming for livelihood security of farmers/Suresh Kumar, R. Chandra and H. Rahman. 24. Livestock based entrepreneurship development for better employment/Suresh Kumar, R. Chandra and H. Rahman. 25. Entrepreneurial scopes and opportunities in commercial goat farming/R. Chandra, L.R. Chatlod, Suresh Kumar, S. Toppo, N. Haque and H. Rahman. 26. Agribusiness opportunities through establishment of animal health clinics/L.R. Chatlod, R. Chandra, S. Toppo, H. Rahman, Papri Pal and Helina Rahman. 27. Women empowerment through and livestock enterprises/S. Toppo, L.R. Chatlod and R. Chandra. 28. Role of market for entrepreneurship development/S.T. Venchungp. Index. Entrepreneurship plays a vital role in making agriculture economically viable and success or failure of sustainable agriculture is largely decide the fate of our farming community. The book entitle Entrepreneurship in Agriculture : Scopes and Opportunities is much needed by the students, academicians, extension functionaries, researchers, policy makers to enlighten them about the concepts, issues, scopes and opportunities of entrepreneurship in agriculture and allied sector to make it more sustainable. The initial chapters of this book deal with the concepts of entrepreneurship along with the issues and dynamics of entrepreneurship followed by all the relevant technologies concerning to field crops in agriculture and their entrepreneurial aspects. The major portion of the book deli-neates horticulture, spices, post-harvest and processing technologies suitable for entrepreneurship development under sustainable farming syste.…

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Zustand: New. pp. 914.

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Digital. Zustand: New. Unleash Google's Cloud Platform to build, train and optimize machine learning modelsAbout This Book. Get well versed in GCP pre-existing services to build your own smart models. A comprehensive guide covering aspects from data processing, analyzing to building and training ML models. A practical approach to produce your trained ML models and port them to your mobile for easy accessWho This Book Is ForThis book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handyWhat You Will Learn. Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile. Create, train and optimize deep learning models for various data science problems on big data. Learn how to leverage BigQuery to explore big datasets. Use Google's pre-trained TensorFlow models for NLP, image, video and much more. Create models and architectures for Time series, Reinforcement Learning, and generative models. Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applicationsIn DetailGoogle Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions.This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications.By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.Style and approachAn easy-to-follow step by step guide which will help you get to the grips with real-world applications of Google Cloud Machine Learning.…

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Paperback. Zustand: New. Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R.You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers.You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. What You Will LearnGet an in-depth understanding of all the major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building modelsImplement machine learning algorithms in the cloud Follow a hands-on approach through case studies for each algorithmGain the tricks of ensemble learning to build more accurate modelsDiscover the basics of programming in R/Python and the Keras framework for deep learningWho This Book Is ForBusiness analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning. …

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Zustand: As New. Unread book in perfect condition.

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Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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25 cm. original hardcover. 890 pp. some ills, diagrams, tables. references. index. -(slightly bumped, otherwise (very) good). 1660g.