aws ml

[MLS-C01] AWS Certified Machine Learning – Specialty QnA Day 9 & 10 Live Session FAQs.

The blog post – will cover the Q/A’s from Day 9 & 10 of AWS Certified Machine Learning – Specialty in which we have covered Module 9: SageMaker Built-in Algorithms, Module 10: Model Training & Tuning, and Module 11: Model Deployment FAQs. This blog will help you to get started with AWS Certified Machine Learning – Specialty[MLS-C01]

We will cover the following lessons:

• Blazing Text

• DeepAR Forecasting

• Factorization Machines

• Image Classification Algorithm [Hands-on]

• IP Insights • K-Means Algorithm

• K-Nearest Neighbors (k-NN)

• Algorithm Latent Dirichlet Allocation (LDA)

• Linear learner algorithm [Hands-on]

• Neural Topic Model (NTM) Algorithm

• Object2Vec

• Object Detection

• Algorithm Principal Component Analysis (PCA) Algorithm

• Semantic Segmentation

• Sequence to Sequence (seq2seq)

• XGBoost Algorithm.

• Monitor & Analyze Training jobs

• Incremental Training

• Hyperparameter Tuning and so on…

If you are planning to become a Certified Machine Learning Specialist then register for the FREE Class at

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About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

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