The Machine Learning Specialization is for students who wish to master the machine learning skills that are required in highly technical data science careers. Students learn to utilize advanced computational algorithms needed to build platforms that expand the boundaries of machine cognitive function to provide solutions, advance automation and evolve processes.
Students should choose a Machine Learning Specialization if they’re interested in:
Pursuing highly technical careers.
Understanding the structure of data through the use of an iterative approach.
Utilizing advanced computational algorithms to build models that expand machine cognitive functions.
Advancing automation and pattern recognition.
Applying algorithms and models to solve complex problems.
Why Specialize in Machine Learning?
Students who specialize in machine learning master skills that are in high demand and indispensable in many industries. Companies are turning to machine learning to complete a rapidly increasing number of tasks, allowing them to completely reshape the customer experience. Deloitte predicts that businesses will likely double their use of machine learning technology by the end of 2018.
“We have reached the tipping point where adoption of machine learning in the enterprise is poised to accelerate, and will drive improved business operations, better decision-making and provide enhanced or entirely new products and services.”
– Paul Sallomi, vice chairman, Deloitte LLP, global TMT industry leader and U.S. technology sector leader
Glassdoor ranked data scientist as the No. 3 job in 20201, showing the continued growth in the field and need for high-quality data science professionals. With an M.S. in Data Science with a Machine Learning Specialization, students are prepared for highly technical data science careers similar, but not limited to, the following:
Principal Software Engineer
Students who select the Machine Learning Specialization complete eight core courses, two electives and a capstone.