AWS Machine Learning Certification Exam | Complete Guide
500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment
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12,640
students
17 hours
content
Jun 2024
last update
$84.99
regular price
What you will learn
Data Engineering
Data types, Python Libraries (pandas, Numpy, scikit Learn, MatplotLib, Seaborn), data distributions, timeseries, Feature Engineering (imputation, binning, encoding, and normalization)
AWS Services and Algorithms
Amazon SageMaker, Amazon S3 Storage services, AWS Glue
AWS Kinesis Services (Kinesis firehose, Kinesis video streams, Kinesis data streams, Kinesis analytics)
Redshift, Redshift Spectrum, DynamoDB, Athena, Amazon Quicksight, Elastic Map Reduce (EMR)
Rekognition, Lex, Polly, Comprehend, Translate, transcribe, BlazingText Word2Vec, DeepAR, Factorization Machines, Gradient Boosted Trees (XGBoost)
Image Classification (ResNet), IP Insights, K-Means Clustering, K-Nearest Neighbor (k-NN)
Latent Dirichlet Allocation (LDA), Linear Learner (Classification), Linear Learner (Regression)
Neural Topic Modelling (NTM), Object2Vec, Object Detection, Principal Component Analysis (PCA), Random Cut Forest, Semantic Segmentation, and Seqence2Sequence
Machine and Deep Learning Basics
Screenshots
2652106
udemy ID
11/12/2019
course created date
12/24/2019
course indexed date
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