Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data scientists will increase, requiring them to assist in the identification of the most relevant business questions and subsequently the data to answer them.
New ROS users encounter a lot of difficulties when they start programming with this course you will learn the concepts of ROS with hands-on illustrations. It will also give you the required skills to ROS2 and navigation stack. A STEP BY STEP roadmap of learning ROS so that you learn the concepts in the right order and help you build an experience from one lecture to the other.
* Students who want to join this programme without certification will need to undergo and pass a written test.