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Data Science Courses Powered by EmergingEd: Machine Learning Foundations and Frameworks

The big data revolution is underway. Are you ready to embrace the machine learning innovations that can lead your company to the top? Machine Learning Foundations and Frameworks provides essential grounding in the tools and techniques that comprise the field of machine learning. You will discuss the benefits and limitations of machine learning when compared to traditional statistics; illustrate supervised, unsupervised and reinforcement learning; develop research plans for classification and regression; interpret research results from machine learning; and recommend deep learning methods for intelligent systems.
Course dates: Ongoing enrollment
Course duration: 8 weeks
Fee: $1,500
Register now.

Instructor: Thomas W. Miller, Ph.D.
Thomas W. Miller is faculty director of the data science program at Northwestern University. He designed distance learning training materials for the program, including courses in advanced modeling techniques, marketing analytics, data engineering and machine learning. During the 2019-20 academic year, he will be teaching artificial intelligence and deep learning, natural language processing, and knowledge engineering. Miller has published six books about data science with Pearson Education (the series “Modeling Techniques in Predictive Analytics”). He also owns a publishing and consulting firm, Research Publishers LLC, located in Manhattan Beach, California. He provides data science consulting services and is actively involved in developing chatbot and survey research applications.

Data Science Courses Powered by EmergingEd: Machine Learning and Industry

Even if you have an idea for a machine learning solution that could transform your company, implementing it is a whole different challenge. Machine Learning and Industry trains you to transform your organization by embracing the data engineering and machine learning strategies that are driving innovation today. You will learn to develop life cycles for managing projects utilizing machine learning and identify technologies and design architectures for implementing machine learning and intelligence effectively in any industry or organization.
Course dates: Ongoing enrollment
Course duration: 8 weeks
Fee: $1,500
Register now.

Instructor: Thomas W. Miller, Ph.D.
See bio above.

Data Science Courses Powered by EmergingEd: Machine Learning Cases

This is your chance to learn from the successes and failures of others to build your machine learning skillset. Rooted in real cases, this course provides an opportunity for you to explore the details of applying machine learning in an organization with the guidance of an expert. You will learn how to evaluate machine learning applications in business and gain the confidence to utilize complex machine learning situations such as Turing Tests, robotic process automation, knowledge-based systems and recursive neural networks.
Course dates: Ongoing enrollment
Course duration: 8 weeks
Fee: $1,500
Register now.

Instructor: Thomas W. Miller, Ph.D.
See bio above.


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