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.
Este curso faz parte do Certificado Profissional Aprendizado de máquina IBM
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Curso 6 de 6 no
Nível intermediário
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
Habilidades que você terá
Dimensionality ReductionUnsupervised LearningCluster AnalysisTime SeriesK Means Clustering
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 6 de 6 no
Nível intermediário
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
oferecido por
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programa - O que você aprenderá com este curso
2 horas para concluir
Introduction to Time Series Analysis
This module introduces the concept of forecasting and why Time Series Analysis is best suited for forecasting, compared to other regression models you might already know. You will learn the main components of a Time Series and how to use decomposition models to make accurate time series models.
2 horas para concluir
10 vídeos (Total 83 mín.), 3 leituras, 3 testes
3 horas para concluir
Stationarity and Time Series Smoothing
This module introduces you to the concepts of stationarity and Time Series smoothing. Having a Time Series that is stationary is easy to model. You will learn how to identify and solve non-stationarity. Smoothing is relevant to you as it will help improve the accuracy of your models.
3 horas para concluir
13 vídeos (Total 110 mín.), 3 leituras, 3 testes
3 horas para concluir
ARMA and ARIMA Models
This module introduces moving average models, which are the main pillar of Time Series analysis. You will first learn the theory behind Autoregressive Models and gain some practice coding ARMA models. Then you will extend your knowledge to use SARMA and SARIMA models as well.
3 horas para concluir
9 vídeos (Total 117 mín.), 3 leituras, 3 testes
3 horas para concluir
Deep Learning and Survival Analysis Forecasts
This module introduces two additional tools for forecasting: Deep Learning and Survival Analysis. In addition to AI and Machine Learning applications, Deep Learning is also used for forecasting. Survival Analysis is a branch of Statistics first ideated to analyze hazard functions and the expected time for an event such as mechanical failure or death to happen. Survival Analysis is still used widely in the pharmaceutical industry and also in other business scenarios with limited data related to censoring, the lack of information on whether an event occurred or not for a certain observation.
3 horas para concluir
8 vídeos (Total 70 mín.), 3 leituras, 4 testes
Avaliações
Principais avaliações do SPECIALIZED MODELS: TIME SERIES AND SURVIVAL ANALYSIS
por MB6 de Mai de 2021
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.
por GS15 de Mai de 2021
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.
por RT7 de Abr de 2021
Good course with some useful tips, the Survival part of the course was particularly interesting.
por JM23 de Jul de 2021
Great course, very well taught and topics are useful for future applications
Sobre Certificado Profissional Aprendizado de máquina 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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