With tremendous progressions in the world of Information Technology, Data Science and Analytics; Machine Learning (ML) and Deep Learning (DL) have become some of the most common buzzwords in the industry. But what do these terms mean? Is there any difference between the three or are they linked? All of these questions may seem complicated at first, and there is a huge misconception related to them. Thanks to the rapidly
Tag "Symbiosis Institutes"
With the increasing demand for skilled professionals in the Information Technology and Data domain, Symbiosis Centre for Information Technology strives to impart quality education to students who wish to pursue a career in the same. SCIT has been a pioneer in nurturing IT talent to become future leaders in the IT domain. The institute supports students to transform themselves into proactive professionals with their innovative teaching methodologies, state-of-the-art infrastructure, and
Data science and data analytics have become a significant component of the tech industry. As per a report generated by Forbes, about 1.7 megabytes of new data will be produced every second for every human by 2020. With such an enormous amount of data created every second, the main challenge for an organization is to store, analyze, and segregate data. The creation of such large datasets demands a clear understanding
With an increased shift in the world of data science and data analytics, the industry is expected to grow seven times in the coming years. About 2 quintillions of data are created each day. Such an excessive amount of data relates to all things like behavior, interactions, and endless activities across businesses. Termed as Big Data, this field is often associated with internet-connected devices and client’s relationships with them. The
Over the years, technology has caused an outburst in the industry by changing many business models and concepts. Information Technology Business Management ensures that all the technological resources in the firm are managed according to their needs and priorities. It provides a standard way to characterize costs, technologies, resource applications, and services. It also apprises data-driven decision making around smart IT investments. Managing business services through an IT-focused lens, ITBM