340 - AWS Certified Machine Learning - Specialty

  • Seeders:6
  • Leechers:44
  • Completed:113
  • File size:5.00 GB
  • Date:2020-07-26

Files

  • 001 - Course Introduction.mp4(40.88 MB)
  • 002 - About the Training Architect.mp4(21.76 MB)
  • 003 - About the Exam.mp4(152.23 MB)
  • 004 - Artificial Intelligence.mp4(21.17 MB)
  • 005 - What Is Machine Learning?.mp4(40.75 MB)
  • 006 - What Is Deep Learning?.mp4(38.57 MB)
  • 007 - Section Introduction.mp4(11.25 MB)
  • 008 - Machine Learning Lifecycle.mp4(59.80 MB)
  • 009 - Supervised Unsupervised and Reinforcement.mp4(40.67 MB)
  • 010 - Optimization.mp4(31.59 MB)
  • 011 - Regularization.mp4(15.99 MB)
  • 012 - Hyperparameters.mp4(24.14 MB)
  • 013 - Validation.mp4(14.97 MB)
  • 014 - Section Introduction.mp4(9.75 MB)
  • 015 - Feature Selection and Engineering.mp4(35.56 MB)
  • 016 - Principal Component Analysis (PCA).mp4(40.50 MB)
  • 017 - Missing and Unbalanced Data.mp4(43.40 MB)
  • 018 - Label and One Hot Encoding.mp4(14.79 MB)
  • 019 - Splitting and Randomization.mp4(16.63 MB)
  • 020 - RecordIO Format.mp4(21.10 MB)
  • 021 - Section Introduction.mp4(8.12 MB)
  • 022 - Logistical Regression.mp4(32.31 MB)
  • 023 - Linear Regression.mp4(24.26 MB)
  • 024 - Support Vector Machines.mp4(21.53 MB)
  • 025 - Decision Trees.mp4(38.69 MB)
  • 026 - Random Forests.mp4(25.95 MB)
  • 027 - K-Means.mp4(33.84 MB)
  • 028 - K-Nearest Neighbour.mp4(13.83 MB)
  • 029 - Latent Dirichlet Allocation (LDA) Algorithm.mp4(38.90 MB)
  • 030 - Section Introduction.mp4(7.99 MB)
  • 031 - Neural Networks.mp4(71.87 MB)
  • 032 - Convolutional Neural Networks (CNN).mp4(45.07 MB)
  • 033 - Recurrent Neural Networks (RNN).mp4(41.96 MB)
  • 034 - Section Introduction.mp4(17.04 MB)
  • 035 - Confusion Matrix.mp4(49.00 MB)
  • 036 - Sensitivity and Specificity.mp4(84.23 MB)
  • 037 - Accuracy and Precision.mp4(31.64 MB)
  • 038 - ROC_AUC.mp4(69.45 MB)
  • 039 - Gini Impurity.mp4(35.11 MB)
  • 040 - F1 Score.mp4(25.38 MB)
  • 041 - Introduction to Jupyter Notebooks.mp4(66.91 MB)
  • 042 - ML and DL Frameworks.mp4(40.28 MB)
  • 043 - TensorFlow.mp4(83.18 MB)
  • 044 - PyTorch.mp4(39.69 MB)
  • 045 - MXNet.mp4(32.39 MB)
  • 046 - Scikit-learn.mp4(94.28 MB)
  • 047 - S3.mp4(90.60 MB)
  • 048 - Glue.mp4(83.87 MB)
  • 049 - Athena.mp4(86.56 MB)
  • 050 - QuickSight.mp4(47.42 MB)
  • 051 - Kinesis Streams Firehose Video and Analytics.mp4(82.27 MB)
  • 052 - EMR with Spark.mp4(32.85 MB)
  • 053 - EC2 for ML.mp4(60.82 MB)
  • 054 - Amazon ML.mp4(13.03 MB)
  • 055 - Section Introduction.mp4(37.50 MB)
  • 056 - Amazon Rekognition (Images) Part 1.mp4(90.78 MB)
  • 057 - Amazon Rekognition (Images) Part 2 - the API.mp4(161.34 MB)
  • 058 - Amazon Rekognition (Video).mp4(48.47 MB)
  • 059 - Amazon Polly.mp4(52.04 MB)
  • 060 - Amazon Transcribe.mp4(53.32 MB)
  • 061 - Amazon Translate.mp4(88.63 MB)
  • 062 - Amazon Comprehend.mp4(71.78 MB)
  • 063 - Amazon Lex.mp4(77.77 MB)
  • 064 - Amazon Service Chaining with AWS Step Functions.mp4(66.14 MB)
  • 065 - Section Introduction.mp4(19.05 MB)
  • 066 - What is Amazon SageMaker?.mp4(39.73 MB)
  • 067 - The Three Stages.mp4(13.36 MB)
  • 068 - Control (Console_SDK_Notebooks).mp4(84.27 MB)
  • 069 - SageMaker Notebooks.mp4(95.83 MB)
  • 070 - Data Preprocessing.mp4(59.61 MB)
  • 071 - Ground Truth.mp4(40.26 MB)
  • 072 - Preprocessing Image Data (Pinehead NotPinehead).mp4(192.20 MB)
  • 073 - Algorithms.mp4(69.62 MB)
  • 074 - SageMaker Algorithms - Architecture 1.mp4(52.83 MB)
  • 075 - SageMaker Algorithms - Architecture 2.mp4(48.95 MB)
  • 076 - SageMaker Algorithms - Architecture 3.mp4(23.65 MB)
  • 077 - Training an Image Classifier - Part 1 (Pinehead NotPinehead).mp4(126.75 MB)
  • 078 - Training an Image Classifier - Part 2 (Pinehead NotPinehead).mp4(31.65 MB)
  • 079 - Hyperparameter Tuning.mp4(57.57 MB)
  • 080 - Inference Pipelines.mp4(18.20 MB)
  • 081 - Real-Time and Batch Inference.mp4(24.18 MB)
  • 082 - Deploy an Image Classifier (Pinehead NotPinehead).mp4(110.49 MB)
  • 083 - Accessing Inference from Apps.mp4(16.97 MB)
  • 084 - Create a custom API for inference - Part 1 (Pinehead NotPinehead).mp4(65.20 MB)
  • 085 - Create a custom API for inference - Part 2 (Pinehead NotPinehead).mp4(105.93 MB)
  • 086 - Securing SageMaker Notebooks.mp4(112.56 MB)
  • 087 - SageMaker and the VPC.mp4(23.12 MB)
  • 088 - Section Introduction.mp4(10.16 MB)
  • 089 - DeepLens - Part 1.mp4(171.78 MB)
  • 090 - DeepLens - Part 2.mp4(50.88 MB)
  • 091 - DeepRacer - Part 1.mp4(175.45 MB)
  • 092 - DeepRacer - Part 2.mp4(38.74 MB)
  • 093 - How to Answer Questions.mp4(119.63 MB)
  • 094 - How to Prepare.mp4(62.68 MB)
  • 095 - Goodbye!.mp4(40.43 MB)

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