Geospatial analysis is the gathering, display and manipulation of imagery, GPS, satellite photography and historical data, described explicitly in terms of geographic coordinates. This course will learn on methods to visualize geospatial data and perform some analysis concerning a particular geographic location or region.
Computer vision literally means computer able to see and recognize stuff. Applications such as Google Lens and Google Image Search are some good examples of where computer vision is being used in our daily life. In this course, we will explore some technique used to empower computer with the power of seeing:
For examining and assessing huge datasets and databases, SQL or structured programming language skills plays a vital role to enable us to design and manage data. Some common keywords used in SQL as follows: SELECT, WHERE FROM GROUP BY, HAVING, COUNT ORDER BY AS, WITH JOIN. Date Preparation Since we will be
Using machine learning in data analysis is a rather procedural approach. As we can notice from the approach, we will start by Preparing data » Defining a model » Model diagnostic checking » Model prediction to complete our workflow. This workflow is often and commonly practiced when we are doing data analysis work.
Creation and evaluation of a deep learning model is a procedural work with steps. *Data preparation » Model optimization» Model fitting » Model evaluation » Model prediction Note Model optimization (adam optimizer) Model fitting (batch, epoch)