SHOPPING!!! Something we all love. Be it clothes, shoes, accessories, groceries, books, electronic gadgets, fruits, vegetables et al. are now available on the net at the click of the button. Artificial Intelligence undoubtedly makes shopping more personalized and enjoyable. It recommends tailor made products as per individual choices and needs. This definitely helps the consumer by saving lots of time
We have discussed in the previous article how can we visualize and present data using raw numbers and which type of charts can be used to show change over time. Moving forward lets see and understand the varied type of charts used. Charts for showing part-to-whole composition – The types of charts collected in this section make it much easier
Data visualization is an integral part of data analysis. Ability to graphically and efficiently summarize large amounts of data. It’s amazing how much knowledge can be conveyed in such a limited space. Use data visualizations to easily convey message. This allows to grasp insights in the quickest and easiest way. So, which picture makes more sense and which one helps
Being one of the most in-demand technologies in the job market, Artificial Intelligence (AI) has garnered everyone’s attention in recent years. Be it start-ups or big companies, most of them are using AI in building services. Hence it is pertinent to teach AI to students starting from a younger age. It is widely believed that artificial intelligence will revolutionize and
Today Artificial intelligence (AI) touches almost every aspect of life including health care. Recent computer algorithms have attained high accuracy almost at par with human experts. It has resulted in the greater application of AI in the clinical arena. AI not only reduces the manpower requirement and saves costs significantly but also provides reliable as well as precise diagnostic and
Data Science is the process of organizing and comprehending enormous amounts of data in order to extract useful insights. Data science is a study that combines a variety of disciplines, such as computer programming, statistics, business analytics, mathematics, and more. Because data has so many business applications, firms are increasingly hiring data scientists, who can collect data from all throughout