Distance learning Course in Software Engineering in USA

See Distance learning Courses in Software Engineering in USA 2018

Software Engineering

Universities and colleges set their own admission requirements for higher education courses, so they vary broadly. Depending on the course, students may be able to get into higher education with a range of qualifications. If you're applying to do a course, you may find that work experience is taken into consideration alongside any qualifications you have. Some higher education institutes and colleges offer courses as preparation for a certain type of degrees. They usually don't result in separate criteria as they simply qualify you to enter the degree program itself. Courses can be taught in a broad selection of fields of study.

Software engineering refers to applying engineering methods and techniques to computer programming and software creation. Software engineering students often learn about disciplines such as computer science and mathematics to help them create customized software systems for companies or large corporations.

Distance education or distance learning is a way of delivering education and instruction, often on an individual basis, to students who are not physically present on campus.

The USA remains the world’s most popular destination for international students. Universities in the US dominate the world rankings and the country also offers a wide variety of exciting study locations. State university systems are partially subsidized by state governments, and may have many campuses spread around the state, with hundreds of thousands of students.

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Course in Machine Learning

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. [+]

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 ApproachDo 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 box by examining models and algorithms. Together, these pieces... [-]