A course refers to a specialized study program. It usually takes place on campus but can be delivered online. Courses are popular for people who want to get specific knowledge in one subject.
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 learning is a method of delivering education to students who are not physically present on campus. Various studies have shown that distance learning programmes can be as efficient and effective as conventional classroom programmes sometimes even better!
The United States of America is located on the continent of North America. It is the third largest country by size in the world. It has a relatively short history compared to other world nations, has one of the world's largest economies, and has one of the world's most diverse populations.
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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... [-]