Tech Info

             Data science is a field used to analyze the vast volume of data through different techniques to make it understandable. To understand data science, we need to have a good understanding of these three concepts: statistics, linear algebra, and optimization.Wikipedia defines optimization as a problem where you maximize or minimize a real function by systematically choosing input values from an allowed set and computing the value of the function. That means when we talk about optimization we are always interested in finding the best solution. From a mathematical foundation viewpoint, it can be said that the three pillars for data science that we need to understand quite well are Linear Algebra , Statistics and the third pillar is Optimization which is used pretty much in all data science algorithms. And to understand the optimization concepts one needs a good fundamental understanding of linear algebra. Almost all machine learning algorithms can be viewed as s

    Since the beginning of our existence, we have endeavored to achieve a sense of motion in art. Since the late 1970s, graphic design has evolved from a static publishing discipline to a practice that incorporates a broad range of communications technologies including film, animation, interactive media, and environmental design.Designing in time and space presents a set of unique, creative challenges that combine the language of graphic design with the dynamic visual language of cinema into a hybridized system of communication.One of the first successful devices for creating the illusion of motion was popular in Europe during the 1820s by London physicist Dr. John A. Paris.This simple apparatus was a small paper disc that was attached to two pieces of string and held on opposite sides.     Each side of the disc contained an image,and the two images appeared to become merged together when the disc was spun rapidly. This was accomplished by twirling the disc to wind the string an