If you are thinking of an alternative career path as a data scientist or if you have already started your career and planning the next step, this talk will guide you through data science fundamentals, job preparation technique, and overall market landscape. You will also learn what a data science roadmap looks like at technology companies vs non-technology companies, what skills you will need to succeed, how to prepare for the interviews, and what levels of compensation you can expect as an entry level or a mid-career data scientist. You will learn about the fundamental differences and expectations as an academic researcher vs an applied practitioner in the industry

Numerical solutions to the Schr�dinger-Newton equation with an added self-interaction term are studied via the Crank-Nicholson method, and the results are compared with the Runge-Kutta method. Conservation laws associated with the equations are put forward as a check of the numerical solutions.

Computer vision imparts a similarity to that of human vision, however there are massive contrasts between the two. Human vision is a perplexing cycle which not only enable to �see� the objects but seeing often associated with another complex phenomena called perception that is not yet understood totally. Computer vision is an innovative execution of human vision that empowers computer to accomplish certain human vision capacities, but it is surpassing the human vision in some areas for example in contrast sensitivity and visual acuity which are key important aspect of object recognition and segmentation from a scene. In ophthalmology artificial intelligence (AI) has been primarily applied to medical image analysis, in which AI have shown robust diagnostic performance in detecting various eye diseases early. AI for an eye, particularly in ocular imaging used fundus photographs and optical coherence tomography (OCT) images as an input and provide the output whether the individual has disease or not at early state which is very important for therapeutic intervention of retinal disease such as diabetic retinopathy, glaucoma, age-related macular degeneration. Using AI, here, we have shown measurement of retinal nerve and ganglion cell layer as hallmark of retinal diseases with higher accuracy and precision than conventional image processing method.