AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling
With Noah Gift
Liked by 166 users
Duration: 32m
Skill level: Intermediate
Released: 3/1/2023
Course details
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the modeling portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. Noah explains when to use machine learning, the difference between supervised and unsupervised learning, and the types of models that are available. He shows you how to train the model using the appropriate data. This process includes splitting the data into training and validation sets, choosing the right optimizer and loss function, and understanding the trade-offs between different model choices. After the model is trained, Noah guides you through how to evaluate it to ensure that it is performing well. This evaluation includes choosing the right metrics, understanding the confusion matrix, and performing cross-validation. Finally, Noah goes over how to interpret the model to understand what it is doing and how it can be improved.
This course was created by Noah Gift. We are pleased to host this training in our library.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Joandry Escalera
Joandry Escalera
I bridge education and technology to drive innovation |
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Abdul Aziz Shaikh
Abdul Aziz Shaikh
AWS, mySQL, PostgreSQL, MongoDB
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Samir Pokhrel
Samir Pokhrel
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Contents
What’s included
- Learn on the go Access on tablet and phone