本站已收录 番号和无损神作磁力链接/BT种子 

340 - AWS Certified Machine Learning - Specialty

种子简介

种子名称: 340 - AWS Certified Machine Learning - Specialty
文件类型: 视频
文件数目: 95个文件
文件大小: 5 GB
收录时间: 2020-9-2 21:30
已经下载: 3
资源热度: 165
最近下载: 2024-12-18 22:56

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:5a41d72e053cb5d5a6d7193b807afc483e499e6f&dn=340 - AWS Certified Machine Learning - Specialty 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

340 - AWS Certified Machine Learning - Specialty.torrent
  • 001 - Course Introduction.mp440.88MB
  • 002 - About the Training Architect.mp421.76MB
  • 003 - About the Exam.mp4152.23MB
  • 004 - Artificial Intelligence.mp421.17MB
  • 005 - What Is Machine Learning?.mp440.75MB
  • 006 - What Is Deep Learning?.mp438.57MB
  • 007 - Section Introduction.mp411.25MB
  • 008 - Machine Learning Lifecycle.mp459.8MB
  • 009 - Supervised, Unsupervised, and Reinforcement.mp440.67MB
  • 010 - Optimization.mp431.59MB
  • 011 - Regularization.mp415.99MB
  • 012 - Hyperparameters.mp424.14MB
  • 013 - Validation.mp414.97MB
  • 014 - Section Introduction.mp49.75MB
  • 015 - Feature Selection and Engineering.mp435.56MB
  • 016 - Principal Component Analysis (PCA).mp440.5MB
  • 017 - Missing and Unbalanced Data.mp443.4MB
  • 018 - Label and One Hot Encoding.mp414.79MB
  • 019 - Splitting and Randomization.mp416.63MB
  • 020 - RecordIO Format.mp421.1MB
  • 021 - Section Introduction.mp48.12MB
  • 022 - Logistical Regression.mp432.31MB
  • 023 - Linear Regression.mp424.26MB
  • 024 - Support Vector Machines.mp421.53MB
  • 025 - Decision Trees.mp438.69MB
  • 026 - Random Forests.mp425.95MB
  • 027 - K-Means.mp433.84MB
  • 028 - K-Nearest Neighbour.mp413.83MB
  • 029 - Latent Dirichlet Allocation (LDA) Algorithm.mp438.9MB
  • 030 - Section Introduction.mp47.99MB
  • 031 - Neural Networks.mp471.87MB
  • 032 - Convolutional Neural Networks (CNN).mp445.07MB
  • 033 - Recurrent Neural Networks (RNN).mp441.96MB
  • 034 - Section Introduction.mp417.04MB
  • 035 - Confusion Matrix.mp449MB
  • 036 - Sensitivity and Specificity.mp484.23MB
  • 037 - Accuracy and Precision.mp431.64MB
  • 038 - ROC_AUC.mp469.45MB
  • 039 - Gini Impurity.mp435.11MB
  • 040 - F1 Score.mp425.38MB
  • 041 - Introduction to Jupyter Notebooks.mp466.91MB
  • 042 - ML and DL Frameworks.mp440.28MB
  • 043 - TensorFlow.mp483.18MB
  • 044 - PyTorch.mp439.69MB
  • 045 - MXNet.mp432.39MB
  • 046 - Scikit-learn.mp494.28MB
  • 047 - S3.mp490.6MB
  • 048 - Glue.mp483.87MB
  • 049 - Athena.mp486.56MB
  • 050 - QuickSight.mp447.42MB
  • 051 - Kinesis, Streams, Firehose, Video, and Analytics.mp482.27MB
  • 052 - EMR with Spark.mp432.85MB
  • 053 - EC2 for ML.mp460.82MB
  • 054 - Amazon ML.mp413.03MB
  • 055 - Section Introduction.mp437.5MB
  • 056 - Amazon Rekognition (Images) Part 1.mp490.78MB
  • 057 - Amazon Rekognition (Images) Part 2 - the API.mp4161.34MB
  • 058 - Amazon Rekognition (Video).mp448.47MB
  • 059 - Amazon Polly.mp452.04MB
  • 060 - Amazon Transcribe.mp453.32MB
  • 061 - Amazon Translate.mp488.63MB
  • 062 - Amazon Comprehend.mp471.78MB
  • 063 - Amazon Lex.mp477.77MB
  • 064 - Amazon Service Chaining with AWS Step Functions.mp466.14MB
  • 065 - Section Introduction.mp419.05MB
  • 066 - What is Amazon SageMaker?.mp439.73MB
  • 067 - The Three Stages.mp413.36MB
  • 068 - Control (Console_SDK_Notebooks).mp484.27MB
  • 069 - SageMaker Notebooks.mp495.83MB
  • 070 - Data Preprocessing.mp459.61MB
  • 071 - Ground Truth.mp440.26MB
  • 072 - Preprocessing Image Data (Pinehead NotPinehead).mp4192.2MB
  • 073 - Algorithms.mp469.62MB
  • 074 - SageMaker Algorithms - Architecture 1.mp452.83MB
  • 075 - SageMaker Algorithms - Architecture 2.mp448.95MB
  • 076 - SageMaker Algorithms - Architecture 3.mp423.65MB
  • 077 - Training an Image Classifier - Part 1 (Pinehead NotPinehead).mp4126.75MB
  • 078 - Training an Image Classifier - Part 2 (Pinehead NotPinehead).mp431.65MB
  • 079 - Hyperparameter Tuning.mp457.57MB
  • 080 - Inference Pipelines.mp418.2MB
  • 081 - Real-Time and Batch Inference.mp424.18MB
  • 082 - Deploy an Image Classifier (Pinehead, NotPinehead).mp4110.49MB
  • 083 - Accessing Inference from Apps.mp416.97MB
  • 084 - Create a custom API for inference - Part 1 (Pinehead NotPinehead).mp465.2MB
  • 085 - Create a custom API for inference - Part 2 (Pinehead NotPinehead).mp4105.93MB
  • 086 - Securing SageMaker Notebooks.mp4112.56MB
  • 087 - SageMaker and the VPC.mp423.12MB
  • 088 - Section Introduction.mp410.16MB
  • 089 - DeepLens - Part 1.mp4171.78MB
  • 090 - DeepLens - Part 2.mp450.88MB
  • 091 - DeepRacer - Part 1.mp4175.45MB
  • 092 - DeepRacer - Part 2.mp438.74MB
  • 093 - How to Answer Questions.mp4119.63MB
  • 094 - How to Prepare.mp462.68MB
  • 095 - Goodbye!.mp440.43MB