Guide covering topics from machine learning, regression models, neural network to tensor flow DESCRIPTION Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it. KEY FEATURES Machine learning in MATLAB using basic concepts and algorithms. Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data. Machine learning workflow for health monitoring. The neural network domain and implementation in MATLAB with explicit explanation of code and results. How predictive model can be improved using MATLAB? MATLAB code for an algorithm implementation, rather than for mathematical formula. Machine learning workflow for health monitoring. WHAT WILL YOU LEARN Pre-requisites to machine learning Finding natural patterns in data Building classification methods Data pre-processing in Python Building regression models Creating neural networks Deep learning WHO THIS BOOK IS FOR The book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time. Table of Contents _1. Ê Ê Pre-requisite to Machine Learning 2. Ê Ê An introduction to Machine Learning 3. Ê Ê Finding Natural Patterns in Data 4. Ê Ê Building Classification Methods 5. Ê Ê Data Pre-Processing in Python 6. Ê Ê Building Regression Models 7. Ê Ê Creating Neural Networks 8. Ê Ê Introduction to Deep Learning
Growth, reproduction, and geographical distribution of plants are profoundly influenced by their physiological ecology: the interaction with the surrounding physical, chemical, and biological environments. This textbook highlights mechanisms that underlie plant physiological ecology at the levels of physiology, biochemistry, biophysics, and molecular biology. At the same time, the integrative power of physiological ecology is well suited to assess the costs, benefits, and consequences of modifying plants for human needs and to evaluate the role of plants in natural and managed ecosystems. Plant Physiological Ecology, Third Edition is significantly updated, with many full color illustrations, and begins with the primary processes of carbon metabolism and transport, plant water relations, and energy balance. After considering individual leaves and whole plants, these physiological processes are then scaled up to the level of the canopy. Subsequent chapters discuss mineral nutrition and the ways in which plants cope with nutrient‐deficient or toxic soils. The book then looks at patterns of growth and allocation, life‐history traits, and interactions between plants and other organisms. Later chapters deal with traits that affect decomposition of plant material and with the consequences of plant physiological ecology at ecosystem and global levels. Plant Physiological Ecology, Third Edition features several boxed entries that extend the discussions of selected issues, a glossary, and numerous references to the primary and review literature. This significant new text is suitable for use in plant ecology courses, as well as classes ranging from plant physiology to plant molecular biology.
From Haryana to Gujarat to Maharashtra, numerous Indian states have been witness to protests by backward classes pressing for quotas and reservations. In stark contrast is the exemplary case of Tamil Nadu, which has managed to effectively integrate economic and development agenda for the backward classes into state policy. In the fifty years of rule between them, M. Karunanidhi, MGR, and J. Jayalalithaa—the iconic leaders of Tamil Nadu politics—managed to effectively transform institutions and structures to deliver a social welfare agenda in the state. Was it pure charisma on part of these leaders that gave us the unusual story of politicians and bureaucrats working hand in hand to implement a social agenda? Written by S. Narayan, who as part of the administration was both a witness to and a participant in these developments, this book is an intimate narrative on the Dravidian years of Tamil Nadu. At an important juncture of Tamil Nadu politics, it also makes us wonder: With no charismatic leader in the horizon, who can take the state forward?
This book discusses the dynamics and resource management qualities of the peri-urban interface to address climate change consequences, focusing on the peri-urban region of the global city of Bengalaru. In 5 chapters, the authors document the unique challenges experienced in peri-urban areas, including soil-water vegetation dynamics, local and regional impacts on water bodies (surface and groundwater), food production issues, and the inhibited adaptive capacity of local communities. The book also provides knowledge on implementations of environmental management by local institutions, government interventions that have acted as catalysts in promoting community based adaptation strategies, and the physical, social and economic aspects of rural-urban dynamics. The book not only adds to the scarce existing literature on peri-urban contexts, but also addresses the role of culture in protecting ecological landscapes and how traditions play an important role in coping with climate change. Furthermore, the authors expand on these climate change coping mechanisms in peri-urban areas, taking into account local cultural factors and interesting governance interventions in the context of health. The book will be of interest to planners, policy makers, and students and researchers engaged in rural-urban dynamics and climate change adaptation.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.