Official Aarushi Parjapat Latest

Encyclopedia of Data Science and Machine Learning

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

The Arctic Home in the Vedas

Drawing upon his vast knowledge of the Hindu Vedas and the Zoroastrian Avesta, Tilak makes a painstakingly detailed analysis of the texts and compares them with the geological, astronomical, and archaeological evidence to show the plausibility of the Arctic having been the primordial cradle of the Aryan race before changing conditions forced the Aryans southward into present-day Europe, Iran, and India.

Who Were the Shudras