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[GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty 2022 - Hands On!

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种子名称： [GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty 2022 - Hands On!
文件类型： 视频
文件数目： 125个文件
文件大小： 2.74 GB
收录时间： 2022-7-14 00:33
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最近下载： 2024-12-5 04:32

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[GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty 2022 - Hands On!.torrent
  • 01 - Introduction/001 Udemy 101.mp417.44MB
  • 01 - Introduction/002 Course Introduction What to Expect.mp478.16MB
  • 01 - Introduction/003 Get the Course Materials.mp47.97MB
  • 02 - Data Engineering/001 Section Intro Data Engineering.mp415.18MB
  • 02 - Data Engineering/002 Amazon S3 - Overview.mp424.38MB
  • 02 - Data Engineering/003 Amazon S3 Storage Classes + Glacier.mp412.67MB
  • 02 - Data Engineering/004 Amazon S3 Storage + Glacier - Hands On.mp420.6MB
  • 02 - Data Engineering/005 Amazon S3 Lifecycle Rules.mp411.19MB
  • 02 - Data Engineering/006 Amazon S3 Lifecycle Rules - Hands On.mp413.88MB
  • 02 - Data Engineering/007 Amazon S3 Security.mp423.03MB
  • 02 - Data Engineering/008 Kinesis Data Streams & Kinesis Data Firehose.mp423.13MB
  • 02 - Data Engineering/009 Lab 1.1 - Kinesis Data Firehose.mp440.25MB
  • 02 - Data Engineering/010 Kinesis Data Analytics.mp410.02MB
  • 02 - Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp475.23MB
  • 02 - Data Engineering/012 Kinesis Video Streams.mp46.53MB
  • 02 - Data Engineering/013 Kinesis ML Summary.mp42.45MB
  • 02 - Data Engineering/014 Glue Data Catalog & Crawlers.mp45.41MB
  • 02 - Data Engineering/015 Lab 1.3 - Glue Data Catalog.mp413.93MB
  • 02 - Data Engineering/016 Glue ETL.mp44.57MB
  • 02 - Data Engineering/017 Lab 1.4 - Glue ETL.mp423.08MB
  • 02 - Data Engineering/018 Lab 1.5 - Athena.mp44.52MB
  • 02 - Data Engineering/019 Lab 1 - Cleanup.mp48.28MB
  • 02 - Data Engineering/020 AWS Data Stores in Machine Learning.mp46.7MB
  • 02 - Data Engineering/021 AWS Data Pipelines.mp46.19MB
  • 02 - Data Engineering/022 AWS Batch.mp43.97MB
  • 02 - Data Engineering/023 AWS DMS - Database Migration Services.mp44.35MB
  • 02 - Data Engineering/024 AWS Step Functions.mp46.57MB
  • 02 - Data Engineering/025 Full Data Engineering Pipelines.mp411.01MB
  • 03 - Exploratory Data Analysis/001 Section Intro Data Analysis.mp414.06MB
  • 03 - Exploratory Data Analysis/002 Python in Data Science and Machine Learning.mp423.38MB
  • 03 - Exploratory Data Analysis/003 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp472.98MB
  • 03 - Exploratory Data Analysis/004 Types of Data.mp422.22MB
  • 03 - Exploratory Data Analysis/005 Data Distributions.mp422.37MB
  • 03 - Exploratory Data Analysis/006 Time Series Trends and Seasonality.mp48.22MB
  • 03 - Exploratory Data Analysis/007 Introduction to Amazon Athena.mp411.44MB
  • 03 - Exploratory Data Analysis/008 Overview of Amazon Quicksight.mp427.53MB
  • 03 - Exploratory Data Analysis/009 Types of Visualizations, and When to Use Them.mp411.16MB
  • 03 - Exploratory Data Analysis/010 Elastic MapReduce (EMR) and Hadoop Overview.mp415.96MB
  • 03 - Exploratory Data Analysis/011 Apache Spark on EMR.mp417.47MB
  • 03 - Exploratory Data Analysis/012 EMR Notebooks, Security, and Instance Types.mp410.37MB
  • 03 - Exploratory Data Analysis/013 Feature Engineering and the Curse of Dimensionality.mp422.39MB
  • 03 - Exploratory Data Analysis/014 Imputing Missing Data.mp453.29MB
  • 03 - Exploratory Data Analysis/015 Dealing with Unbalanced Data.mp419.45MB
  • 03 - Exploratory Data Analysis/016 Handling Outliers.mp438.32MB
  • 03 - Exploratory Data Analysis/017 Binning, Transforming, Encoding, Scaling, and Shuffling.mp440.25MB
  • 03 - Exploratory Data Analysis/018 Amazon SageMaker Ground Truth and Label Generation.mp416.71MB
  • 03 - Exploratory Data Analysis/019 Lab Preparing Data for TF-IDF with Spark and EMR, Part 1.mp430.49MB
  • 03 - Exploratory Data Analysis/020 Lab Preparing Data for TF-IDF with Spark and EMR, Part 2.mp498.88MB
  • 03 - Exploratory Data Analysis/021 Lab Preparing Data for TF-IDF with Spark and EMR, Part 3.mp4119.75MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/001 Section Intro Modeling.mp440.32MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/002 Introduction to Deep Learning.mp430.26MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/003 Activation Functions.mp422.74MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/004 Convolutional Neural Networks.mp449.28MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/005 Recurrent Neural Networks.mp430.7MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/006 Deep Learning on EC2 and EMR.mp43.98MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/007 Tuning Neural Networks.mp422.71MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/008 Regularization Techniques for Neural Networks (Dropout, Early Stopping).mp421.02MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/009 L1 and L2 Regularization.mp46.49MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/010 Grief with Gradients The Vanishing Gradient problem.mp410.4MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/011 The Confusion Matrix.mp414.5MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/012 Precision, Recall, F1, AUC, and more.mp430.02MB
  • 04 - Modeling, Part 1 General Deep Learning and Machine Learning/013 Ensemble Methods Bagging and Boosting.mp47.96MB
  • 05 - Modeling, Part 2 Amazon SageMaker/001 Introducing Amazon SageMaker.mp451.33MB
  • 05 - Modeling, Part 2 Amazon SageMaker/002 Linear Learner in SageMaker.mp411.02MB
  • 05 - Modeling, Part 2 Amazon SageMaker/003 XGBoost in SageMaker.mp414.48MB
  • 05 - Modeling, Part 2 Amazon SageMaker/004 Seq2Seq in SageMaker.mp411.22MB
  • 05 - Modeling, Part 2 Amazon SageMaker/005 DeepAR in SageMaker.mp410.15MB
  • 05 - Modeling, Part 2 Amazon SageMaker/006 BlazingText in SageMaker.mp412.06MB
  • 05 - Modeling, Part 2 Amazon SageMaker/007 Object2Vec in SageMaker.mp429.44MB
  • 05 - Modeling, Part 2 Amazon SageMaker/008 Object Detection in SageMaker.mp49.9MB
  • 05 - Modeling, Part 2 Amazon SageMaker/009 Image Classification in SageMaker.mp49.95MB
  • 05 - Modeling, Part 2 Amazon SageMaker/010 Semantic Segmentation in SageMaker.mp49.23MB
  • 05 - Modeling, Part 2 Amazon SageMaker/011 Random Cut Forest in SageMaker.mp47.04MB
  • 05 - Modeling, Part 2 Amazon SageMaker/012 Neural Topic Model in SageMaker.mp47.74MB
  • 05 - Modeling, Part 2 Amazon SageMaker/013 Latent Dirichlet Allocation (LDA) in SageMaker.mp47.23MB
  • 05 - Modeling, Part 2 Amazon SageMaker/014 K-Nearest-Neighbors (KNN) in SageMaker.mp411.35MB
  • 05 - Modeling, Part 2 Amazon SageMaker/015 K-Means Clustering in SageMaker.mp423.51MB
  • 05 - Modeling, Part 2 Amazon SageMaker/016 Principal Component Analysis (PCA) in SageMaker.mp416.69MB
  • 05 - Modeling, Part 2 Amazon SageMaker/017 Factorization Machines in SageMaker.mp49.14MB
  • 05 - Modeling, Part 2 Amazon SageMaker/018 IP Insights in SageMaker.mp46.72MB
  • 05 - Modeling, Part 2 Amazon SageMaker/019 Reinforcement Learning in SageMaker.mp453.68MB
  • 05 - Modeling, Part 2 Amazon SageMaker/020 Automatic Model Tuning.mp414.52MB
  • 05 - Modeling, Part 2 Amazon SageMaker/021 Apache Spark with SageMaker.mp410.72MB
  • 05 - Modeling, Part 2 Amazon SageMaker/022 SageMaker Studio, and SageMaker Experiments.mp412.43MB
  • 05 - Modeling, Part 2 Amazon SageMaker/023 SageMaker Debugger.mp427.5MB
  • 05 - Modeling, Part 2 Amazon SageMaker/024 SageMaker Autopilot AutoML.mp438.65MB
  • 05 - Modeling, Part 2 Amazon SageMaker/025 SageMaker Model Monitor.mp412.99MB
  • 05 - Modeling, Part 2 Amazon SageMaker/026 Other recent features (JumpStart, Data Wrangler, Features Store, Edge Manager).mp48.39MB
  • 05 - Modeling, Part 2 Amazon SageMaker/027 SageMaker Canvas.mp479.54MB
  • 05 - Modeling, Part 2 Amazon SageMaker/028 SageMaker Training Compiler.mp46.33MB
  • 06 - Modeling, Part 3 High-Level ML Services/001 Amazon Comprehend.mp410.48MB
  • 06 - Modeling, Part 3 High-Level ML Services/002 Amazon Translate.mp44.22MB
  • 06 - Modeling, Part 3 High-Level ML Services/003 Amazon Transcribe.mp411.58MB
  • 06 - Modeling, Part 3 High-Level ML Services/004 Amazon Polly.mp432.48MB
  • 06 - Modeling, Part 3 High-Level ML Services/005 Amazon Rekognition.mp450.58MB
  • 06 - Modeling, Part 3 High-Level ML Services/006 Amazon Forecast.mp44.62MB
  • 06 - Modeling, Part 3 High-Level ML Services/007 Amazon Lex.mp411.33MB
  • 06 - Modeling, Part 3 High-Level ML Services/008 Amazon Personalize.mp444.68MB
  • 06 - Modeling, Part 3 High-Level ML Services/009 Lightning round! TexTract, DeepLens, DeepRacher, Lookout, and Monitron.mp412.07MB
  • 06 - Modeling, Part 3 High-Level ML Services/010 TorchServe, AWS Neuron, and AWS Panorama.mp47.41MB
  • 06 - Modeling, Part 3 High-Level ML Services/011 Deep Composer, Fraud Detection, CodeGuru, and Contact Lens.mp412.38MB
  • 06 - Modeling, Part 3 High-Level ML Services/012 Amazon Kendra and Amazon Augmented AI (A2I).mp46.48MB
  • 07 - Modeling, Part 4 Wrapping up & Lab Activity/001 Putting them All Together.mp44.77MB
  • 07 - Modeling, Part 4 Wrapping up & Lab Activity/002 Lab Tuning a Convolutional Neural Network on EC2, Part 1.mp458.02MB
  • 07 - Modeling, Part 4 Wrapping up & Lab Activity/003 Lab Tuning a Convolutional Neural Network on EC2, Part 2.mp472.73MB
  • 07 - Modeling, Part 4 Wrapping up & Lab Activity/004 Lab Tuning a Convolutional Neural Network on EC2, Part 3.mp442.48MB
  • 08 - ML Implementation and Operations/001 Section Intro Machine Learning Implementation and Operations.mp413.61MB
  • 08 - ML Implementation and Operations/002 SageMaker's Inner Details and Production Variants.mp450.52MB
  • 08 - ML Implementation and Operations/003 SageMaker On the Edge SageMaker Neo and IoT Greengrass.mp412.02MB
  • 08 - ML Implementation and Operations/004 SageMaker Security Encryption at Rest and In Transit.mp411.15MB
  • 08 - ML Implementation and Operations/005 SageMaker Security VPC's, IAM, Logging, and Monitoring.mp49.62MB
  • 08 - ML Implementation and Operations/006 SageMaker Resource Management Instance Types and Spot Training.mp47.98MB
  • 08 - ML Implementation and Operations/007 SageMaker Resource Management Elastic Inference, Automatic Scaling, AZ's.mp423.58MB
  • 08 - ML Implementation and Operations/008 SageMaker Serverless Inference and Inference Recommender.mp410.74MB
  • 08 - ML Implementation and Operations/009 SageMaker Inference Pipelines.mp45.33MB
  • 08 - ML Implementation and Operations/010 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 1.mp424.55MB
  • 08 - ML Implementation and Operations/011 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 2.mp438.54MB
  • 08 - ML Implementation and Operations/012 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3.mp473MB
  • 09 - Wrapping Up/001 Section Intro Wrapping Up.mp46.98MB
  • 09 - Wrapping Up/002 More Preparation Resources.mp414.38MB
  • 09 - Wrapping Up/003 Test-Taking Strategies, and What to Expect.mp472.09MB
  • 09 - Wrapping Up/004 You Made It!.mp413.39MB
  • 09 - Wrapping Up/005 Save 50% on your AWS Exam Cost!.mp48.37MB
  • 09 - Wrapping Up/006 Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only.mp43.23MB
  • 10 - Practice Exams/001 THANK YOU!.mp426.38MB



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