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Google Certified Professional Machine Learning Engineer
Master ML Algorithms, Data Modeling, TensorFlow and Cloud ML Services - Comprehensive Path to Google ML Certification
Rating: 0.0 out of 5
(0 ratings)
522 students
12.5 hours on-demand video

Description
Translate business challenges into ML use cases

Choose the optimal solution (ML vs non-ML, custom vs pre-packaged)

Define how the model output should solve the business problem

Identify data sources (available vs ideal)

Define ML problems (problem type, outcome of predictions, input and output formats)

Define business success criteria (alignment of ML metrics, key results)

Identify risks to ML solutions (assess business impact, ML solution readiness, data readiness)

Design reliable, scalable, and available ML solutions

And more...

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Google Certified Professional Machine Learning Engineer
Master ML Algorithms, Data Modeling, TensorFlow and Google Cloud AI/ML Services. 137 Questions, Answers with Explanations
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14,831 students
16.5 hours on-demand video
45 downloadable resources

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