Distance learning Course in Computing

View all Distance learning Course Studies in Computing 2017

Computing

Universities and colleges set their own admission requirements for higher education courses, so they vary broadly. Depending on the course, graduate student may be able to get into higher education with a range of qualifications. If you're applying to do a Foundation Degree course, you may find that work experience is taken into consideration alongside any qualifications you have. Some higher education institutes and colleges offer Foundation Years as preparation for a certain degree courses. They usually don't result in separate criteria as they simply qualify you to enter the degree program itself. Foundation Years aren't within reach for all degree courses, however.

Those who are studying in the computing field may explore a variety of topics, including system development and design, hardware, software, information management, structuring and processing and the creation of different forms of media.

While distance learning courses have due dates that must be met, there is a fabulous deal of compliance as to when you can carry out assignments when studying at a distance. With the online option, You could exit the discussion group as required to return to work and then join after work if needed. Distance learning courses can be taken in whatever place you have Internet access. You can even complete classes from the Internet lounge in any hotel around the world if you need a vacation.

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Course in Machine Learning (Intermediate)

Coursera
Online Part time 8 months Open Enrollment USA USA Online

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. [+]

Best Distance learning Course Studies in Computing 2017. This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. In the final Capstone Project, you’ll apply your skills to solve an original, real-world problem through implementation of machine learning algorithms. Courses Machine Learning Foundations: A Case Study Approach Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black... [-]