Become an AWS Machine Learning Engineer in 30 Days-New 2022!
Published 05/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 412 lectures (40h 37m) | Size: 26 GB

Build, Train, Test and Deploy Machine Learning Models in AWS
Learn SageMaker Built-in Algorithms such as Linear Learner, XG-Boost, Principal Component Analysis (PCA), and K-Nearest Neighbors
Define and Perform Image and Text Labeling Jobs Using AWS SageMaker GroundTruth
Prepare, Clean and Visualize data Using AWS SageMaker Data Wrangler without Writing any Code
Optimize ML model hyperparameters using GridSearch, Bayesian & Random Search Optimization Techniques
Master Key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) and CloudWatch
Understand Machine Learning workflow automation using AWS Lambda, Step functions and SageMaker Pipelines.