Course Intro: Train Machine Learning Models - Prepare to Train a Machine Learning Model | Coursera

Course Intro: Train Machine Learning Models

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Train Machine Learning Models

Curso 4 de 5 en Profesional en Ciencia de los Datos con certificación CertNexus Certificado profesional

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This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems. To be successful in this course a learner should have a background in computing technology, including some aptitude in computer programming.

Destrezas que aprenderás

design of experiments, Machine Learning, clustering, regression, classification

De la lección

Prepare to Train a Machine Learning Model

In the previous courses in the CDSP specialization, your data underwent a great deal of preparation. It's time to start looking at developing machine learning models. These models will be instrumental in achieving your business objectives because they can intelligently estimate much about the world. But before you start building these models, you need to have a firm grasp on what goes into machine learning and what it means to use machine learning to test a hypothesis.

Course Intro: Train Machine Learning Models4:13

Impartido por:

Stacey McBrine
CDSP, CAIP, CIoTP, CIoTSP, CFR, CISSP, SSCP, CASP, CFR, CEI, CEH, ECSA, CHFI, CCNA, CCSI, CTT+, LINUX+, PENTEST+, SECURITY+, A+, SCNP, ITIL Foundations, ITIL SO, ITIL OSA, MCSA, MCITP
Megan Smith Branch
Chief Product Officer at CertNexus
Sarah Haq
Data Engineer at Artsy

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