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AWS Certified Machine Learning - Specialty: AWS Certified Machine Learning - Specialty (MLS-C01)
Prepare for your Amazon AWS examination with our training course. The DAS-C01 course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Amazon AWS certification exam. Pass the Amazon AWS DAS-C01 test with flying colors.
Duration: 9h 8m 106 Lectures
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Introduction
1 Lectures • 6m
Course Introduction: What to Expect
Duration: 6mData Engineering
22 Lectures • 1h 24m
Section Intro: Data Engineering
Duration: 1mAmazon S3 - Overview
Duration: 5mAmazon S3 - Storage Tiers & Lifecycle Rules
Duration: 4mAmazon S3 Security
Duration: 8mKinesis Data Streams & Kinesis Data Firehose
Duration: 9mLab 1.1 - Kinesis Data Firehose
Duration: 6mKinesis Data Analytics
Duration: 4mLab 1.2 - Kinesis Data Analytics
Duration: 7mKinesis Video Streams
Duration: 3mKinesis ML Summary
Duration: 1mGlue Data Catalog & Crawlers
Duration: 3mLab 1.3 - Glue Data Catalog
Duration: 4mGlue ETL
Duration: 2mLab 1.4 - Glue ETL
Duration: 6mLab 1.5 - Athena
Duration: 1mLab 1 - Cleanup
Duration: 2mAWS Data Stores in Machine Learning
Duration: 3mAWS Data Pipelines
Duration: 3mAWS Batch
Duration: 2mAWS DMS - Database Migration Services
Duration: 2mAWS Step Functions
Duration: 3mFull Data Engineering Pipelines
Duration: 5mExploratory Data Analysis
21 Lectures • 2h 27m
Section Intro: Data Analysis
Duration: 1mPython in Data Science and Machine Learning
Duration: 12mExample: Preparing Data for Machine Learning in a Jupyter Notebook.
Duration: 10mTypes of Data
Duration: 5mData Distributions
Duration: 6mTime Series: Trends and Seasonality
Duration: 4mIntroduction to Amazon Athena
Duration: 5mOverview of Amazon Quicksight
Duration: 6mTypes of Visualizations, and When to Use Them.
Duration: 5mElastic MapReduce (EMR) and Hadoop Overview
Duration: 7mApache Spark on EMR
Duration: 10mEMR Notebooks, Security, and Instance Types
Duration: 4mFeature Engineering and the Curse of Dimensionality
Duration: 7mImputing Missing Data
Duration: 8mDealing with Unbalanced Data
Duration: 6mHandling Outliers
Duration: 9mBinning, Transforming, Encoding, Scaling, and Shuffling
Duration: 8mAmazon SageMaker Ground Truth and Label Generation
Duration: 4mLab: Preparing Data for TF-IDF with Spark and EMR, Part 1
Duration: 6mLab: Preparing Data for TF-IDF with Spark and EMR, Part 2
Duration: 10mLab: Preparing Data for TF-IDF with Spark and EMR, Part 3
Duration: 14mModeling
45 Lectures • 3h 46m
Section Intro: Modeling
Duration: 2mIntroduction to Deep Learning
Duration: 9mConvolutional Neural Networks
Duration: 12mRecurrent Neural Networks
Duration: 11mDeep Learning on EC2 and EMR
Duration: 2mTuning Neural Networks
Duration: 5mRegularization Techniques for Neural Networks (Dropout, Early Stopping)
Duration: 7mGrief with Gradients: The Vanishing Gradient problem
Duration: 4mL1 and L2 Regularization
Duration: 3mThe Confusion Matrix
Duration: 6mPrecision, Recall, F1, AUC, and more
Duration: 7mEnsemble Methods: Bagging and Boosting
Duration: 4mIntroducing Amazon SageMaker
Duration: 8mLinear Learner in SageMaker
Duration: 5mXGBoost in SageMaker
Duration: 3mSeq2Seq in SageMaker
Duration: 5mDeepAR in SageMaker
Duration: 4mBlazingText in SageMaker
Duration: 5mObject2Vec in SageMaker
Duration: 5mObject Detection in SageMaker
Duration: 4mImage Classification in SageMaker
Duration: 4mSemantic Segmentation in SageMaker
Duration: 4mRandom Cut Forest in SageMaker
Duration: 3mNeural Topic Model in SageMaker
Duration: 3mLatent Dirichlet Allocation (LDA) in SageMaker
Duration: 3mK-Nearest-Neighbors (KNN) in SageMaker
Duration: 3mK-Means Clustering in SageMaker
Duration: 5mPrincipal Component Analysis (PCA) in SageMaker
Duration: 3mFactorization Machines in SageMaker
Duration: 4mIP Insights in SageMaker
Duration: 3mReinforcement Learning in SageMaker
Duration: 12mAutomatic Model Tuning
Duration: 6mApache Spark with SageMaker
Duration: 3mAmazon Comprehend
Duration: 6mAmazon Translate
Duration: 2mAmazon Transcribe
Duration: 4mAmazon Polly
Duration: 6mAmazon Rekognition
Duration: 7mAmazon Forecast
Duration: 2mAmazon Lex
Duration: 3mThe Best of the Rest: Other High-Level AWS Machine Learning Services
Duration: 3mPutting them All Together
Duration: 2mLab: Tuning a Convolutional Neural Network on EC2, Part 1
Duration: 9mLab: Tuning a Convolutional Neural Network on EC2, Part 2
Duration: 9mLab: Tuning a Convolutional Neural Network on EC2, Part 3
Duration: 6mML Implementation and Operations
11 Lectures • 1h 4m
Section Intro: Machine Learning Implementation and Operations
Duration: 1mSageMaker's Inner Details and Production Variants
Duration: 11mSageMaker On the Edge: SageMaker Neo and IoT Greengrass
Duration: 4mSageMaker Security: Encryption at Rest and In Transit
Duration: 5mSageMaker Security: VPC's, IAM, Logging, and Monitoring
Duration: 4mSageMaker Resource Management: Instance Types and Spot Training
Duration: 4mSageMaker Resource Management: Elastic Inference, Automatic Scaling, AZ's
Duration: 5mSageMaker Inference Pipelines
Duration: 2mLab: Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 1
Duration: 5mLab: Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 2
Duration: 11mLab: Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3
Duration: 12mWrapping Up
6 Lectures • 21m
Section Intro: Wrapping Up
Duration: 1mMore Preparation Resources
Duration: 6mTest-Taking Strategies, and What to Expect
Duration: 10mYou Made It!
Duration: 1mSave 50% on your AWS Exam Cost!
Duration: 2mGet an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only
Duration: 1mHot Exams
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