This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Adolf Hitler was a German dictator who led the Nazi Party to power in Germany in the 1930s. He was responsible for the deaths of millions of people, including Jews, homosexuals, and other groups that he considered to be inferior. He committed suicide in 1945 as the Allied forces were closing in on Berlin. Hitler was a complex and contradictory figure. He was a charismatic leader who was able to connect with the German people, but he was also a ruthless dictator who was responsible for the deaths of millions of people. His legacy is one of hate, destruction, and death. He is considered to be one of the most evil men in history. This is only a brief account of the life and career of Adolf Hitler. If you're interested in learning more about them, I recommend reading this book.
Do only technology companies have a corner on “network effects"—i.e. the magic that happens when users take on the work of growing networks to predominance because their transactional value is so clear? Think Facebook, Google, WhatsApp, Amazon, eBay, Uber, and the like. Or, is there a way to adapt this phenomenon to design equally omnipresent Changemaking Networks by harnessing changemaking network effects between systems that should work together for common good, but don’t—with technology as a possible enabler, but not a founding prerequisite? There is, says Sushmita Ghosh. In the first network effects playbook for social entrepreneurs, she presents the five core principles and accompanying strategies for pulling this off, distilled from extensive interviews with the founding entrepreneurs of 20 pioneering global Changemaking Networks. These have successfully orchestrated the coming together of several systems, their players, and concerned citizens to serve positive social change goals —such as "Zero Homelessness", "Health Care Without Harm" and "Holding Power to Account"—harnessing changemaking network effects. This playbook is a must-read for every social sector organization, company, funding agency, student, or concerned citizen who cares about a new way of organizing mass changemaking to outsmart and outpace the world’s biggest problems. Written for action-takers, it leaves every reader with a clear sense about how to get started on building Changemaking Networks. Today.
We live in cities whose borders have always been subject to expansion. What does such transformation of rural spaces mean for cities and vice-versa? This book looks at the spatial transformation of villages brought into the Delhi's urban fray in the 1950s. As these villages transform physically; their residents, an agrarian-pastoralist community - the Jats - also transform into dabblers in real estate. A study of two villages - Munirka and Shahpur Jat - both in the heart of bustling urban economies of Delhi, reveal that it is 'rent' that could define this suburbanisation. 'Bhaichara', once a form of land ownership in colonial times, transforms into an affective claim of belonging, and managing urban property in the face of a steady onslaught from the 'city'. Properties of Rent is a study of how vernacular form of capitalism and its various affects shape up in opposition to both state, finance capital and the city in contemporary urban Delhi.
The Power of Self-Discipline" by Sushmita Dutta is an empowering book that explores the significance of self-discipline in achieving personal and professional success. Drawing on research, real-life examples, and practical strategies, Dutta guides readers on a transformative journey towards harnessing the power of self-discipline. The book emphasises the role of self-discipline as a foundational skill for goal attainment, personal growth, and overcoming obstacles. Dutta delves into the psychology of self-discipline, exploring the importance of mindset, motivation, and habit formation in cultivating discipline. She provides practical techniques and exercises to strengthen self-discipline, such as time management, prioritisation, focus, and resilience. Through inspiring stories and actionable insights, Dutta encourages readers to take ownership of their actions, make consistent progress, and overcome distractions and temptations. The book also addresses common challenges and offers guidance on maintaining self-discipline during difficult times. "The Power of Self-Discipline" serves as a valuable resource for individuals seeking to enhance their productivity, achieve their goals, and create a life of purpose and fulfilment.
Often examined separately, play and hauntings in fact act together to frame postcolonial issues. Sushmita Chatterjee showcases their braided workings in social and political fabrics. Drawing on this intertwined idea of play and hauntings, Chatterjee goes to the heart of conundrums within transnational postcolonial feminisms by examining the impossible echoes of translations, differing renditions of queer, and the possibilities of solidarity beyond the fraternal friendships that cement nation-states. Meaning-plays, or slippages through language systems as we move from one language to another, play a pivotal role in a global world. As Chatterjee shows, an attentiveness to meaning-plays discerns the past and present, here and there, and moves us toward responsive ethics in our theories and activisms. Insightful and stimulating, Postcolonial Hauntings centers the inextricable work of play and hauntings as a braided ethics for postcolonial transnational struggles.
Swami Vivekananda, born Narendranath Datta, was a key figure in the introduction of Indian philosophies of Vedanta and Yoga to the Western world. He is best remembered for his speech at the Parliament of the World's Religions in Chicago in 1893, where he addressed the audience as "Sisters and Brothers of America." In "Messenger Of Indian Wisdom," Sushmita Dutta delves deep into the life and teachings of Vivekananda, portraying his profound influence both in India and abroad. The biography traces Vivekananda's journey from his early life in Kolkata to his travels in America and Europe, emphasizing his role in revitalizing Indian spirituality and introducing Vedanta philosophy to the world. Through Dutta's detailed account, readers get a glimpse of Vivekananda's commitment to social service, his views on religion, and his unwavering love for humanity.
Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.
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