Jha ranjan (135 risultati)

Condizione: New. pp. 182 Figures, Illus.

Condizione: New. pp. 182.

Condizione: New. pp. iii + 225.

Condizione: New. pp. 182.

Condizione: New. pp. iii + 225.

Condizione: New. pp. xv + 154.

Condizione: New. pp. iii + 225.

Condizione: New. pp. xv + 154 1st Edition.

Condizione: New. pp. xv + 154, Abbreviations.

Hardcover. Condizione: As New. Contents: I. Indian agricultural extension system: 1. Indian agricultural and extension. 2. Extension, extension education and agricultural extension. 3. Extension strategies for sustainable agriculture. II. Basic concept of feedback: 4. Meaning and nature of feedback. 5. Global scenario of feedback researches. 6. Techniques for feedback data collection. 7. Feedback presentations and meetings. 8. Feedback designs for extension. 9. Effectiveness and emerging issues in feedback process. III. Feedback research on CKMM: 10. Importance of CKMM in dairying. 11. Methodology. 12. Results and discussions. 13. Conclusion and recommendation. Bibliography. "Agricultural extension is the backbone for rapid rural development through profitable agriculture especially to the rural poor in the developing world. In such situation, extension workers play a vital role in educating farmers to produce better crops and gain more income from farming. The very success of extension programmers depends upon its capability to cater the needs of rural people. It has been observed that several technologies demonstrated and adopted by the beneficiaries could not last longer after withdrawal of the said programmers. This may be due to improper feedback apropos programmes and/or lack of interest on the part of the beneficiaries. In fact, regular feedback from clientele regarding functioning of the programmes offers an opportunity to the planners and implementers for required functioning of the programmes offers and opportunity to the planners and implementers for required modifications will on time and implementers for required modifications well on time and accordance with the aspiration of the programmes at larger scale. The book explains the concurrent situation of agricultural extension system in India along with new extension approaches for further use. In addition, it elaborates the conceptual background of feedback mechanism with suitable examples. This book also throws light on conducting researches on feedback in extension perspective. The book will be very useful to policy makers, teachers, planners, researchers, agriculturists, NGO personnel and all those engaged in rural development through agriculture and allied sectors. Besides, scholars aspiring for ARS, SRF, JRF and NET can also refer this book." (jacket). …

Hardcover. First Edition. First Edition. Portions of the book are in English, while others are in Sanskrit. Sound binding and hinges. Clean, off-white pages. Paper over boards is lightly edge rubbed. DJ has general shelf wear, edge wear. Papers presented at the National Semina on Jaina Logic and Epistemology held at the Centre of Advanced Study in Sanskrit, University of Poona, Pune, India. 7.75" tall; 179 pages. Very Good in Very Good dust jacket.…

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. The Supervised Learning Workshop, Second Edition (Paperback or Softback).

Condizione: As New. Unread book in perfect condition.

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condizione: New.

Paperback or Softback. Condizione: New. Mastering PyTorch - Second Edition: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond. Book.

Hardcover. Condizione: New. ISBN:9789390425747.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. Discover how you can supervise machine learning algorithms in Python and personalize predictive models with the help of real-world datasetsKey FeaturesExplore the fundamentals of supervised machine learning and its applicationsLearn how to label and process data correctly using Python librariesGain a comprehensive overview of different machine learning algorithms used for building prediction modelsBook DescriptionWould you like to understand how and why machine learning techniques and data analytics are spearheading enterprises globally? From analyzing bioinformatics to predicting climate change, machine learning plays an increasingly pivotal role in our society.Although the real-world applications may seem complex, this book simplifies supervised learning for beginners with a step-by-step interactive approach. Working with real-time datasets, you'll learn how supervised learning, when used with Python, can produce efficient predictive models.Starting with the fundamentals of supervised learning, you'll quickly move to understand how to automate manual tasks and the process of assessing date using Jupyter and Python libraries like pandas. Next, you'll use data exploration and visualization techniques to develop powerful supervised learning models, before understanding how to distinguish variables and represent their relationships using scatter plots, heatmaps, and box plots. After using regression and classification models on real-time datasets to predict future outcomes, you'll grasp advanced ensemble techniques such as boosting and random forests. Finally, you'll learn the importance of model evaluation in supervised learning and study metrics to evaluate regression and classification tasks.By the end of this book, you'll have the skills you need to work on your real-life supervised learning Python projects.What you will learnImport NumPy and pandas libraries to assess the data in a Jupyter NotebookDiscover patterns within a dataset using exploratory data analysisUsing pandas to find the summary statistics of a datasetImprove the performance of a model with linear regression analysisIncrease the predictive accuracy with decision trees such as k-nearest neighbor (KNN) modelsPlot precision-recall and ROC curves to evaluate model performanceWho this book is forIf you are a beginner or a data scientist who is just getting started and looking to learn how to implement machine learning algorithms to build predicting models, then this book is for you. To expedite the learning process, a solid understanding of Python programming is recommended as you'll be editing the classes or functions instead of creating from scratch.…

Condizione: New.

Condizione: New.

Paperback or Softback. Condizione: New. Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features. Book.

Paperback. Condizione: New. PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models.