Acquire technical machine learning skills to address business challenges and guide decision-making processes.
On completion of this course, you’ll walk away with: The confidence to make more informed business decisions and solve complex problems by understanding how different machine learning models can be applied to a variety of data sets. The skills to implement various machine learning techniques, including regression, variable selection, shrinkage methods, classification, dimension reduction, and unsupervised learning. Upgraded mathematics and statistics knowledge, and the foundations of coding in R. Knowledge of the latest frontiers of machine learning, such as neural networks, and how these can be applied to your business context. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
On completion of this course, you’ll walk away with: The confidence to make more informed business decisions and solve complex problems by understanding how different machine learning models can be applied to a variety of data sets. The skills to implement various machine learning techniques, including regression, variable selection, shrinkage methods, classification, dimension reduction, and unsupervised learning. Upgraded mathematics and statistics knowledge, and the foundations of coding in R. Knowledge of the latest frontiers of machine learning, such as neural networks, and how these can be applied to your business context. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
