Bachelor Thesis from the year 2022 in the subject Leadership and Human Resource Management - Miscellaneous, grade: 0.7, course: public administartion, language: English, abstract: This study examines the effect of leadership skill on human capital development, the relationship of leadership skills on human capital development and the challenges of leadership skills on human capital development in Nasarawa Broadcasting Service keffi. The assessment of leadership skill on human capacity development particular focus on Nasarawa Broadcasting Service Keffi (NBS). It is targeted toward identifying leadership skill as a determinant to human capital development. The study encompassed all the staff in the organization. This research would be a useful instrument to Nasarawa Broadcasting Service (NBS) as it will expose the relevance of leadership skills in addressing the problem of human capital development. More so, the findings and recommendation of this research will be of utmost importance to Nasarawa Broadcasting Service (NBS) Keffi, policy makers, society and potential researchers especially as it relates to addressing leadership skills and human capital development in Nigerian media stations, creating virile economy through improved and a well-motivated workforce and strategic employment generation to enhancing efficiency and effectiveness, to expose different kind of leadership skills and suggest measures for improving human capital development in Nasarawa Broadcasting Service (NBS) Keffi.
This book traces the evolution of Singapore’s parks system, from colonial to present times. Further, it contextualizes the design and planning of parks in the general discourse on western and eastern traditions: early twentieth century western conceptions ‘imported’ during colonialism; modernism; postmodernism, and the contemporary ecological debate.Park system planning products respond to national policies and result in structural urban elements and a range of park types.Global (western ideology) and local issues have influenced park system planning and the physical design of individual parks over time. However, in Singapore the eastern literature has not addressed the development of parks and urban green spaces in terms of historical perspective.The publication reveals the interrelations between visual representations and changing political ideologies. Singapore’s system of public parks is shown to represent an iconography created by the state. Its set of constructed narratives elucidates on the potential social, cultural and environmental roles of public parks. However, Singapore’s park system presents a novel paradigm for expanding Asian cities, characterized by evolving urban imaging strategies.In framing Singapore’s case study within the broader perspective of eastern applications of western planning and design practices, and constructions of nation in post-colonial countries, the manuscript establishes the contribution of the Singaporean model of design and planning of parks to the international debate.
First English translation of Sini's important work on the influence of writing and the alphabet on Western rationality. In this groundbreaking work, Carlo Sini, one of Italy's leading contemporary philosophers, brings American pragmatism to the Milan school of phenomenology. Appearing in English for the first time, this book explores the constitutive role of alphabetic writing in the emergence of dominant forms of knowledge in the Western world (philosophy, mathematics, science, and historiography). Taking stock of the contingent nature of what are held as logical truths, he offers an ethical framework for considering different ways of thinking about writing, focusing on possibilities involving "practice" as a basis for a renewal of theoretical philosophy. Such a framework, Sini argues, opens the door for more productive and ethical communication with non-Western cultures, and indeed for a reconsideration of forms of knowledge beyond mere writing.
Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.Key Features Includes the smooth transition from ML concepts to DL concepts Line-by-line explanations have been provided for all the coding-based examples Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away Even a person with a non-computer-science background can benefit from this book by following the theory, examples, case studies, and code snippets Every chapter starts with the objective and ends with a set of quiz questions to test the reader’s understanding Includes references to the related YouTube videos that provide additional guidanceAI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.
Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.Key Features Includes the smooth transition from ML concepts to DL concepts Line-by-line explanations have been provided for all the coding-based examples Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away Even a person with a non-computer-science background can benefit from this book by following the theory, examples, case studies, and code snippets Every chapter starts with the objective and ends with a set of quiz questions to test the reader’s understanding Includes references to the related YouTube videos that provide additional guidanceAI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.
Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.
Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.
A little mouse is wandering hungry in a garden, when he comes across a small piece of cheese. Before he has the chance to pick it up, a squirrel grabs it. "If I were bigger, no one would ever dare steal my cheese!" thinks the little mouse. But when he meets an elephant who dances under the commands of a flea, everything changes for him.
A little mouse is wandering hungry in a garden, when he comes across a small piece of cheese. Before he has the chance to pick it up, a squirrel grabs it. “If I were bigger, no one would ever dare steal my cheese!” thinks the little mouse. But when he meets an elephant who dances under the commands of a flea, everything changes for him.
