This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning.
Acerca de este Curso
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Principales reseñas sobre SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
A very well-structured course with useful techniques and detail guidelines. The Python code templates are also really useful when bringing into real-life problems.
It is a good course to build foundation on the modeling of timerseries data. It will be good to add other lessons for anomaly detection on timeseries.
Good course with some useful tips, the Survival part of the course was particularly interesting.
Great course, very well taught and topics are useful for future applications
Acerca de Certificado profesional de Aprendizaje automático de IBM
Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn). This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. It also complements your learning with special topics, including Time Series Analysis and Survival Analysis.
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