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[GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023

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种子名称: [GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023
文件类型: 视频
文件数目: 135个文件
文件大小: 4.24 GB
收录时间: 2023-7-12 18:34
已经下载: 3
资源热度: 94
最近下载: 2024-6-29 00:07

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[GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023.torrent
  • 1 - Lets Get Started/1 - How to Use this Course.mp450.72MB
  • 1 - Lets Get Started/2 - The MLSC01 Exam.mp418.77MB
  • 2 - AWS Accounts and IAM/10 - HOL Create IAM User Account.mp430.45MB
  • 2 - AWS Accounts and IAM/4 - Introduction.mp413.5MB
  • 2 - AWS Accounts and IAM/5 - AWS Account Overview.mp428.62MB
  • 2 - AWS Accounts and IAM/6 - HandsOn Lesson HOL Create Your AWS Free Tier Account.mp435.95MB
  • 2 - AWS Accounts and IAM/7 - HOL Configure Account and Create a Billing Alarm.mp439.35MB
  • 2 - AWS Accounts and IAM/8 - AWS IAM Overview.mp428.88MB
  • 2 - AWS Accounts and IAM/9 - IAM Users Groups Roles and Policies.mp462MB
  • 3 - Compute Storage and Database/11 - Introduction.mp417.17MB
  • 3 - Compute Storage and Database/12 - Amazon Elastic Compute Cloud EC2.mp438.87MB
  • 3 - Compute Storage and Database/13 - Amazon Elastic Container Service ECS.mp449.82MB
  • 3 - Compute Storage and Database/14 - Amazon S3 Overview.mp481.23MB
  • 3 - Compute Storage and Database/15 - IAM Policies Bucket Policies and ACLs.mp445.13MB
  • 3 - Compute Storage and Database/16 - Block vs File vs Object Storage.mp452.73MB
  • 3 - Compute Storage and Database/17 - Amazon EBS.mp449.25MB
  • 3 - Compute Storage and Database/18 - Amazon Elastic File System EFS.mp420.59MB
  • 3 - Compute Storage and Database/19 - Amazon FSx.mp441.24MB
  • 3 - Compute Storage and Database/20 - Amazon DynamoDB.mp442.33MB
  • 3 - Compute Storage and Database/21 - Amazon Redshift.mp447.91MB
  • 4 - Data Engineering/22 - Introduction.mp417.47MB
  • 4 - Data Engineering/23 - Amazon Kinesis.mp48.49MB
  • 4 - Data Engineering/24 - Amazon Kinesis Data Streams.mp455.31MB
  • 4 - Data Engineering/25 - Create a Kinesis Data Stream.mp432.19MB
  • 4 - Data Engineering/26 - Amazon Kinesis Data Firehose.mp440.56MB
  • 4 - Data Engineering/27 - Create a Kinesis Data Firehose.mp444.78MB
  • 4 - Data Engineering/28 - Kinesis Data Streams vs Firehose.mp49.18MB
  • 4 - Data Engineering/29 - Amazon Kinesis Data Analytics.mp432.22MB
  • 4 - Data Engineering/30 - Amazon Kinesis Video Streams.mp433.16MB
  • 4 - Data Engineering/31 - AWS Glue.mp442.17MB
  • 4 - Data Engineering/32 - AWS Glue crawler transformation.mp482.79MB
  • 4 - Data Engineering/33 - AWS Batch.mp411.88MB
  • 4 - Data Engineering/34 - AWS Database Migration Service DMS.mp415.76MB
  • 4 - Data Engineering/35 - AWS Step Functions.mp414.01MB
  • 4 - Data Engineering/36 - Exam cram.mp442.58MB
  • 5 - Exploratory Data Analysis/37 - Introduction.mp410.73MB
  • 5 - Exploratory Data Analysis/38 - CrossIndustry Standard Process for Data Mining CRISPDM.mp440.96MB
  • 5 - Exploratory Data Analysis/39 - Plots.mp432.3MB
  • 5 - Exploratory Data Analysis/40 - Data types.mp435.33MB
  • 5 - Exploratory Data Analysis/41 - Data distribution.mp415.73MB
  • 5 - Exploratory Data Analysis/42 - Feature Engineering.mp410.11MB
  • 5 - Exploratory Data Analysis/43 - Data transformation NumbersCategories.mp453.32MB
  • 5 - Exploratory Data Analysis/44 - Data transformation TextImages.mp487.84MB
  • 5 - Exploratory Data Analysis/45 - Imputation Techniques.mp432.35MB
  • 5 - Exploratory Data Analysis/46 - Unbalanced data.mp420.62MB
  • 5 - Exploratory Data Analysis/47 - Outliers.mp414.34MB
  • 5 - Exploratory Data Analysis/48 - Amazon Sagemaker Ground Truth.mp441.47MB
  • 5 - Exploratory Data Analysis/49 - Create a labelling job.mp451.71MB
  • 5 - Exploratory Data Analysis/50 - Amazon Quicksight.mp429.26MB
  • 5 - Exploratory Data Analysis/51 - Create an analysis using Quicksight.mp428.38MB
  • 5 - Exploratory Data Analysis/52 - Amazon Athena.mp429.21MB
  • 5 - Exploratory Data Analysis/53 - Running SQL queries in Athena.mp444.32MB
  • 5 - Exploratory Data Analysis/54 - Amazon Elastic Map Reduce EMR.mp458.58MB
  • 5 - Exploratory Data Analysis/55 - Exam cram.mp458.6MB
  • 6 - Machine learning/56 - Introduction.mp49.49MB
  • 6 - Machine learning/57 - Machine Learning categories.mp457.51MB
  • 6 - Machine learning/58 - Regression.mp417.8MB
  • 6 - Machine learning/59 - Regression Model evaluation.mp433.34MB
  • 6 - Machine learning/60 - Classification.mp416.16MB
  • 6 - Machine learning/61 - Classification Model evaluation.mp4108.04MB
  • 6 - Machine learning/62 - Dimensionality Reduction.mp433.99MB
  • 6 - Machine learning/63 - Deep Learning.mp494.98MB
  • 6 - Machine learning/64 - Natural Language processing NLP.mp419.16MB
  • 6 - Machine learning/65 - Computer Vision CV.mp425.25MB
  • 6 - Machine learning/66 - Convolutional Neural Network CNN.mp430.01MB
  • 6 - Machine learning/67 - Recurrent Neural Network.mp414.83MB
  • 6 - Machine learning/68 - Neural Network characteristics.mp439.28MB
  • 6 - Machine learning/69 - Neural Networks problems.mp413.37MB
  • 6 - Machine learning/70 - OverfittingUnderfitting.mp417.92MB
  • 6 - Machine learning/71 - Preventing overfitting.mp421.9MB
  • 6 - Machine learning/72 - Validation techniques.mp417.17MB
  • 6 - Machine learning/73 - Ensemble learning.mp49.6MB
  • 6 - Machine learning/74 - Exam cram.mp443.03MB
  • 7 - AI services/75 - Introduction.mp410.76MB
  • 7 - AI services/76 - AI services.mp46.12MB
  • 7 - AI services/77 - Amazon Comprehend.mp432.78MB
  • 7 - AI services/78 - Customers reviews sentiment analysis.mp485MB
  • 7 - AI services/79 - Amazon Translate.mp420.1MB
  • 7 - AI services/80 - Amazon Transcribe.mp420.73MB
  • 7 - AI services/81 - Amazon Polly.mp418.87MB
  • 7 - AI services/82 - Amazon Rekognition.mp429.23MB
  • 7 - AI services/83 - AWS Deeplens.mp429.73MB
  • 7 - AI services/84 - Amazon Textract.mp434.16MB
  • 7 - AI services/85 - Amazon Forecast.mp446.19MB
  • 7 - AI services/86 - Amazon Lex.mp430.03MB
  • 7 - AI services/87 - Amazon Fraud detector.mp419.65MB
  • 7 - AI services/88 - Exam cram.mp47.1MB
  • 8 - Modelling/100 - Object Detection.mp418.65MB
  • 8 - Modelling/101 - Semantic Segmentation.mp419.39MB
  • 8 - Modelling/102 - Seq2Seq.mp415.88MB
  • 8 - Modelling/103 - BLazingText.mp421.8MB
  • 8 - Modelling/104 - Neural Topic Model NTM.mp413.57MB
  • 8 - Modelling/105 - Latent Dirichlet Allocation LDA.mp48.72MB
  • 8 - Modelling/106 - Random Cut Forest RCF.mp418.61MB
  • 8 - Modelling/107 - Kmeans clustering.mp417.63MB
  • 8 - Modelling/108 - Object2Vec.mp427.41MB
  • 8 - Modelling/109 - Principal Component Analysis PCA.mp410.42MB
  • 8 - Modelling/110 - IP insights.mp423.8MB
  • 8 - Modelling/111 - Reinforcement learning.mp422.17MB
  • 8 - Modelling/112 - Builtin algorithms recap.mp429.13MB
  • 8 - Modelling/113 - Docker containers with Sagemaker.mp484.14MB
  • 8 - Modelling/114 - XGBoost Churn prediction.mp463.78MB
  • 8 - Modelling/115 - Script mode.mp421.59MB
  • 8 - Modelling/116 - Bring Your Own BYO Docker.mp430.24MB
  • 8 - Modelling/117 - Sagemaker Instance types.mp416.9MB
  • 8 - Modelling/118 - Hyperparameter tuning.mp428.06MB
  • 8 - Modelling/119 - Hyperparameter tuning job.mp434.88MB
  • 8 - Modelling/120 - Distributed Training.mp429.23MB
  • 8 - Modelling/121 - Apache Spark with Sagemaker.mp414.55MB
  • 8 - Modelling/122 - Sagemaker Debugger.mp420.06MB
  • 8 - Modelling/123 - Sagemaker Autopilot.mp420.09MB
  • 8 - Modelling/124 - Exam cram.mp439.4MB
  • 8 - Modelling/89 - Introduction.mp410.03MB
  • 8 - Modelling/90 - Amazon SageMaker.mp461.39MB
  • 8 - Modelling/91 - Amazon SageMaker Walkthrough.mp417.66MB
  • 8 - Modelling/92 - Create an Amazon SageMaker Notebook instance.mp429.21MB
  • 8 - Modelling/93 - Builtin algorithms overview.mp415MB
  • 8 - Modelling/94 - Linear Learner.mp435.58MB
  • 8 - Modelling/95 - XGBoost.mp420.25MB
  • 8 - Modelling/96 - KNearest Neighbours.mp417.69MB
  • 8 - Modelling/97 - Factorization machines.mp419.59MB
  • 8 - Modelling/98 - DeepAR.mp420.35MB
  • 8 - Modelling/99 - Image classification.mp425.53MB
  • 9 - Deployment/125 - Introduction.mp412.28MB
  • 9 - Deployment/126 - Online Inference Realtime.mp4116.91MB
  • 9 - Deployment/127 - Batch transform.mp49.54MB
  • 9 - Deployment/128 - Sagemaker Deployment.mp446.19MB
  • 9 - Deployment/129 - Inference Pipeline.mp431.67MB
  • 9 - Deployment/130 - SageMaker Monitoring.mp428.86MB
  • 9 - Deployment/131 - Sagemaker Security.mp441.65MB
  • 9 - Deployment/132 - Sagemaker Model Monitor.mp430.41MB
  • 9 - Deployment/133 - Sagemaker Neo and IOT greengrass.mp425.27MB
  • 9 - Deployment/134 - EC2 Inf1 instances.mp412.14MB
  • 9 - Deployment/135 - XGBoost Churn prediction deployment.mp453.35MB
  • 9 - Deployment/136 - Exam cram.mp423.05MB