Kumar raja (844 résultats)

Etat : New.

Etat : New. 1st Edition.

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Etat : As New. Unread book in perfect condition.

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Paperback. Etat : New.

Paperback. Etat : New.

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Etat : New. pp. 120 Maps.

Etat : New. pp. 120, Maps 1st Published.

Etat : New. pp. vii + 379.

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Etat : Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. A good hardcover ex-library first edition without dustjacket. Usual stamps and stickers, otherwise contents are clean and unmarked.…

Etat : New. pp. 148.

Etat : New.

Etat : New. pp. 148.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 148.

Etat : New.

Etat : As New. Unread book in perfect condition.

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Hardcover. Etat : New. In today's climate change scenario, crops are exposed more frequently to different abiotic stress, such as drought, salinity, elevated temperature, submergence and nutrient deficiencies and thereby limit crop production. In recent years, advances in physiology, biotechnology, molecular biology and genetics have greatly improved our understanding of response of crops to these stresses. This book on "Abiotic Stress Agriculture" has been prepared covering various aspects including Agronomy, Genetics and Plant Breeding, Biotechnological aspects and Abiotic stresses. This book will be very much useful to the scientists and young researchers to understand different concepts, basics of various stresses and both conventional and molecular approaches in mitigation of different stresses, such as saline stress, flooding stress, temperature and other stresses for the enhancement of crop productivity in a sustainable manner. In this book , six chapters are dealing with plant breeding aspects, five chapter with biotechnology and molecular biology and ten chapters with reference to different stresses. I am sure that this book will be of great use to the agricultural Faculty, and young researchers in designing their future areas of research in the present scenario of climate change. …

Digital. Etat : New. Learn the essence of data science and visualization using R in no time at allAbout This Book. Become a pro at making stunning visualizations and dashboards quickly and without hassle. For better decision making in business, apply the R programming language with the help of useful statistical techniques. From seasoned authors comes a book that offers you a plethora of fast-paced techniques to detect and analyze data patternsWho This Book Is ForIf you are an aspiring data scientist or analyst who has a basic understanding of data science and has basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you.What You Will Learn. Perform data preprocessing and basic operations on data. Implement visual and non-visual implementation data exploration techniques. Mine patterns from data using affinity and sequential analysis. Use different clustering algorithms and visualize them. Implement logistic and linear regression and find out how to evaluate and improve the performance of an algorithm. Extract patterns through visualization and build a forecasting algorithm. Build a recommendation engine using different collaborative filtering algorithms. Make a stunning visualization and dashboard using ggplot and R shinyIn DetailWith organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world.R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards.By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.Style and approachThis easy-to-follow guide contains hands-on examples of the concepts of data science using R.…

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