UPDATE: I just passed my certification exam and observed the following topics to be important (some are not even directly mentioned in the exam guide): - Costs in Bedrock (especially provisioned throughput) - Evaluation methods (ROUGE & BLEU) - Types of bias (e.g., sampling bias) - General ML concepts: confusion matrix, correlation matrix, epochs, GAN, SVM - SageMaker inference types - F1 score, accuracy, etc. - SageMaker Canvas, Data Wrangler, Ground Truth Plus Next week, I'll add additional questions about these topics and others I encountered during the exam to my practice exam course.
UPDATE: I just passed my certification exam and observed the following topics to be important (some are not even directly mentioned in the exam guide):
- Costs in Bedrock (especially provisioned throughput)
- Evaluation methods (ROUGE & BLEU)
- Types of bias (e.g., sampling bias)
- General ML concepts: confusion matrix, correlation matrix, epochs, GAN, SVM
- SageMaker inference types
- F1 score, accuracy, etc.
- SageMaker Canvas, Data Wrangler, Ground Truth Plus
Next week, I'll add additional questions about these topics and others I encountered during the exam to my practice exam course.
thanks a lot homie.. dont know where to start.. this video really helps
Thanks bro, appreciate the detailed video with the wonderful resources... :)
Thanks, Thomas!!! This helps a lot.
Thanks, amazing value man
Also doing your course right now - really good stuff