本站已收录 番号和无损神作磁力链接/BT种子 

[DesireCourse.Net] Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On!

种子简介

种子名称: [DesireCourse.Net] Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On!
文件类型: 视频
文件数目: 112个文件
文件大小: 3.49 GB
收录时间: 2021-7-25 10:30
已经下载: 3
资源热度: 207
最近下载: 2024-7-3 03:18

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:c7c9b08a2a90a173c6308879467c18beb0ffe11e&dn=[DesireCourse.Net] Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On! 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[DesireCourse.Net] Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On!.torrent
  • 01 Introduction/001 Udemy 101.mp417.43MB
  • 01 Introduction/002 Course Introduction What to Expect.mp478.18MB
  • 01 Introduction/003 Get the Course Materials.mp417.28MB
  • 02 Data Engineering/004 Section Intro Data Engineering.mp424.29MB
  • 02 Data Engineering/005 Amazon S3 - Overview.mp424.38MB
  • 02 Data Engineering/006 Amazon S3 - Storage Tiers Lifecycle Rules.mp422.15MB
  • 02 Data Engineering/007 Amazon S3 Security.mp437.2MB
  • 02 Data Engineering/008 Kinesis Data Streams Kinesis Data Firehose.mp439.17MB
  • 02 Data Engineering/009 Lab 1.1 - Kinesis Data Firehose.mp435.1MB
  • 02 Data Engineering/010 Kinesis Data Analytics.mp421.4MB
  • 02 Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp452.84MB
  • 02 Data Engineering/012 Kinesis Video Streams.mp414.07MB
  • 02 Data Engineering/013 Kinesis ML Summary.mp45.07MB
  • 02 Data Engineering/014 Glue Data Catalog Crawlers.mp411.39MB
  • 02 Data Engineering/015 Lab 1.3 - Glue Data Catalog.mp422.52MB
  • 02 Data Engineering/016 Glue ETL.mp49.82MB
  • 02 Data Engineering/017 Lab 1.4 - Glue ETL.mp441.05MB
  • 02 Data Engineering/018 Lab 1.5 - Athena.mp48.67MB
  • 02 Data Engineering/019 Lab 1 - Cleanup.mp49.45MB
  • 02 Data Engineering/020 AWS Data Stores in Machine Learning.mp413.8MB
  • 02 Data Engineering/021 AWS Data Pipelines.mp414.04MB
  • 02 Data Engineering/022 AWS Batch.mp48.34MB
  • 02 Data Engineering/023 AWS DMS - Database Migration Services.mp49.42MB
  • 02 Data Engineering/024 AWS Step Functions.mp413.4MB
  • 02 Data Engineering/025 Full Data Engineering Pipelines.mp422.84MB
  • 03 Exploratory Data Analysis/027 Section Intro Data Analysis.mp427.05MB
  • 03 Exploratory Data Analysis/028 Python in Data Science and Machine Learning.mp446.76MB
  • 03 Exploratory Data Analysis/029 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp482.75MB
  • 03 Exploratory Data Analysis/030 Types of Data.mp428.39MB
  • 03 Exploratory Data Analysis/031 Data Distributions.mp422.38MB
  • 03 Exploratory Data Analysis/032 Time Series Trends and Seasonality.mp416.3MB
  • 03 Exploratory Data Analysis/033 Introduction to Amazon Athena.mp427.92MB
  • 03 Exploratory Data Analysis/034 Overview of Amazon Quicksight.mp434.03MB
  • 03 Exploratory Data Analysis/035 Types of Visualizations and When to Use Them.mp422.6MB
  • 03 Exploratory Data Analysis/036 Elastic MapReduce (EMR) and Hadoop Overview.mp433.76MB
  • 03 Exploratory Data Analysis/037 Apache Spark on EMR.mp433.69MB
  • 03 Exploratory Data Analysis/038 EMR Notebooks Security and Instance Types.mp424.49MB
  • 03 Exploratory Data Analysis/039 Feature Engineering and the Curse of Dimensionality.mp447.82MB
  • 03 Exploratory Data Analysis/040 Imputing Missing Data.mp453.3MB
  • 03 Exploratory Data Analysis/041 Dealing with Unbalanced Data.mp440.86MB
  • 03 Exploratory Data Analysis/042 Handling Outliers.mp450.48MB
  • 03 Exploratory Data Analysis/043 Binning Transforming Encoding Scaling and Shuffling.mp452.65MB
  • 03 Exploratory Data Analysis/044 Amazon SageMaker Ground Truth and Label Generation.mp428.41MB
  • 03 Exploratory Data Analysis/045 Lab Preparing Data for TF-IDF with Spark and EMR Part 1.mp430.48MB
  • 03 Exploratory Data Analysis/046 Lab Preparing Data for TF-IDF with Spark and EMR Part 2.mp483.63MB
  • 03 Exploratory Data Analysis/047 Lab Preparing Data for TF-IDF with Spark and EMR Part 3.mp4127.67MB
  • 04 Modeling/048 Section Intro Modeling.mp440.28MB
  • 04 Modeling/049 Introduction to Deep Learning.mp463.65MB
  • 04 Modeling/050 Activation Functions.mp446.98MB
  • 04 Modeling/051 Convolutional Neural Networks.mp489.06MB
  • 04 Modeling/052 Recurrent Neural Networks.mp459.5MB
  • 04 Modeling/053 Deep Learning on EC2 and EMR.mp410.64MB
  • 04 Modeling/054 Tuning Neural Networks.mp422.1MB
  • 04 Modeling/055 Regularization Techniques for Neural Networks (Dropout Early Stopping).mp440.48MB
  • 04 Modeling/056 Grief with Gradients The Vanishing Gradient problem.mp424.25MB
  • 04 Modeling/057 L1 and L2 Regularization.mp413.66MB
  • 04 Modeling/058 The Confusion Matrix.mp420.27MB
  • 04 Modeling/059 Precision Recall F1 AUC and more.mp430.18MB
  • 04 Modeling/060 Ensemble Methods Bagging and Boosting.mp418.06MB
  • 04 Modeling/061 Introducing Amazon SageMaker.mp451.35MB
  • 04 Modeling/062 Linear Learner in SageMaker.mp423.8MB
  • 04 Modeling/063 XGBoost in SageMaker.mp415.3MB
  • 04 Modeling/064 Seq2Seq in SageMaker.mp425.61MB
  • 04 Modeling/065 DeepAR in SageMaker.mp424.13MB
  • 04 Modeling/066 BlazingText in SageMaker.mp429.56MB
  • 04 Modeling/067 Object2Vec in SageMaker.mp432.84MB
  • 04 Modeling/068 Object Detection in SageMaker.mp424.14MB
  • 04 Modeling/069 Image Classification in SageMaker.mp422.83MB
  • 04 Modeling/070 Semantic Segmentation in SageMaker.mp421.83MB
  • 04 Modeling/071 Random Cut Forest in SageMaker.mp416.04MB
  • 04 Modeling/072 Neural Topic Model in SageMaker.mp418.38MB
  • 04 Modeling/073 Latent Dirichlet Allocation (LDA) in SageMaker.mp416.59MB
  • 04 Modeling/074 K-Nearest-Neighbors (KNN) in SageMaker.mp413.87MB
  • 04 Modeling/075 K-Means Clustering in SageMaker.mp426.18MB
  • 04 Modeling/076 Principal Component Analysis (PCA) in SageMaker.mp418.41MB
  • 04 Modeling/077 Factorization Machines in SageMaker.mp419.58MB
  • 04 Modeling/078 IP Insights in SageMaker.mp415.17MB
  • 04 Modeling/079 Reinforcement Learning in SageMaker.mp468.19MB
  • 04 Modeling/080 Automatic Model Tuning.mp435.01MB
  • 04 Modeling/081 Apache Spark with SageMaker.mp420.51MB
  • 04 Modeling/082 SageMaker Studio and new SageMaker features for 2020.mp428.28MB
  • 04 Modeling/083 Amazon Comprehend.mp420.43MB
  • 04 Modeling/084 Amazon Translate.mp48.62MB
  • 04 Modeling/085 Amazon Transcribe.mp428.3MB
  • 04 Modeling/086 Amazon Polly.mp432.48MB
  • 04 Modeling/087 Amazon Rekognition.mp450.59MB
  • 04 Modeling/088 Amazon Forecast.mp411.08MB
  • 04 Modeling/089 Amazon Lex.mp418.64MB
  • 04 Modeling/090 The Best of the Rest Other High-Level AWS Machine Learning Services.mp415.59MB
  • 04 Modeling/091 New ML Services for 2020.mp436.87MB
  • 04 Modeling/092 Putting them All Together.mp410.97MB
  • 04 Modeling/093 Lab Tuning a Convolutional Neural Network on EC2 Part 1.mp478MB
  • 04 Modeling/094 Lab Tuning a Convolutional Neural Network on EC2 Part 2.mp480.46MB
  • 04 Modeling/095 Lab Tuning a Convolutional Neural Network on EC2 Part 3.mp456.51MB
  • 05 ML Implementation and Operations/096 Section Intro Machine Learning Implementation and Operations.mp426.38MB
  • 05 ML Implementation and Operations/097 SageMakers Inner Details and Production Variants.mp450.31MB
  • 05 ML Implementation and Operations/098 SageMaker On the Edge SageMaker Neo and IoT Greengrass.mp434.65MB
  • 05 ML Implementation and Operations/099 SageMaker Security Encryption at Rest and In Transit.mp427.9MB
  • 05 ML Implementation and Operations/100 SageMaker Security VPCs IAM Logging and Monitoring.mp422.42MB
  • 05 ML Implementation and Operations/101 SageMaker Resource Management Instance Types and Spot Training.mp417.42MB
  • 05 ML Implementation and Operations/102 SageMaker Resource Management Elastic Inference Automatic Scaling AZs.mp429.27MB
  • 05 ML Implementation and Operations/103 SageMaker Inference Pipelines.mp411.24MB
  • 05 ML Implementation and Operations/104 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 1.mp430.96MB
  • 05 ML Implementation and Operations/105 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 2.mp480.64MB
  • 05 ML Implementation and Operations/106 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 3.mp492.67MB
  • 06 Wrapping Up/107 Section Intro Wrapping Up.mp49.08MB
  • 06 Wrapping Up/108 More Preparation Resources.mp430.16MB
  • 06 Wrapping Up/109 Test-Taking Strategies and What to Expect.mp472.08MB
  • 06 Wrapping Up/110 You Made It.mp417.19MB
  • 06 Wrapping Up/111 Save 50 on your AWS Exam Cost.mp49.46MB
  • 06 Wrapping Up/112 Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only.mp46.32MB
  • 07 Practice Exams/113 THANK YOU.mp426.37MB