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AWS Certified Machine Learning - Specialty

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15:25:34

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  • 01.01.Course Introduction.mp4
    03:49
  • 01.02.About the Training Architect.mp4
    01:56
  • 01.03.About the Exam.mp4
    17:40
  • link.txt
  • old-sku.txt
  • 02.01.Artificial Intelligence.mp4
    04:33
  • 02.02.What Is Machine Learning.mp4
    11:40
  • 02.03.What Is Deep Learning.mp4
    06:47
  • 03.01.Section Introduction.mp4
    00:57
  • 03.02.Machine Learning Lifecycle.mp4
    13:52
  • 03.03.Supervised, Unsupervised, and Reinforcement.mp4
    09:51
  • 03.04.Optimization.mp4
    09:38
  • 03.05.Regularization.mp4
    03:41
  • 03.06.Hyperparameters.mp4
    05:21
  • 03.07.Validation.mp4
    04:09
  • 04.01.Section Introduction.mp4
    00:50
  • 04.02.Feature Selection and Engineering.mp4
    10:04
  • 04.03.Principal Component Analysis (PCA).mp4
    10:23
  • 04.04.Missing and Unbalanced Data.mp4
    11:23
  • 04.05.Label and One Hot Encoding.mp4
    04:35
  • 04.06.Splitting and Randomization.mp4
    03:44
  • 04.07.RecordIO Format.mp4
    04:05
  • 05.01.Section Introduction.mp4
    00:41
  • 05.02.Logistical Regression.mp4
    07:53
  • 05.03.Linear Regression.mp4
    05:41
  • 05.04.Support Vector Machines.mp4
    04:35
  • 05.05.Decision Trees.mp4
    09:47
  • 05.06.Random Forests.mp4
    05:46
  • 05.07.K-Means.mp4
    10:32
  • 05.08.K-Nearest Neighbour.mp4
    03:37
  • 05.09.Latent Dirichlet Allocation (LDA) Algorithm.mp4
    08:52
  • 06.01.Section Introduction.mp4
    00:41
  • 06.02.Neural Networks.mp4
    15:13
  • 06.03.Convolutional Neural Networks (CNN).mp4
    10:27
  • 06.04.Recurrent Neural Networks (RNN).mp4
    09:56
  • 07.01.Section Introduction.mp4
    01:28
  • 07.02.Confusion Matrix.mp4
    11:58
  • 07.03.Sensitivity and Specificity.mp4
    14:59
  • 07.04.Accuracy and Precision.mp4
    05:41
  • 07.05.ROCAUC.mp4
    18:01
  • 07.06.Gini Impurity.mp4
    07:31
  • 07.07.F1 Score.mp4
    04:56
  • 08.01.Section Introduction.mp4
    01:48
  • 08.02.Introduction to Jupyter Notebooks.mp4
    16:05
  • 08.03.ML and DL Frameworks.mp4
    11:54
  • 08.04.TensorFlow.mp4
    16:42
  • 08.05.PyTorch.mp4
    09:23
  • 08.06.MXNet.mp4
    07:34
  • 08.07.Scikit-learn.mp4
    14:36
  • 09.01.Section Introduction.mp4
    01:25
  • 09.02.S3.mp4
    21:00
  • 09.03.Glue.mp4
    16:34
  • 09.04.Athena.mp4
    13:49
  • 09.05.QuickSight.mp4
    08:29
  • 09.06.Kinesis, Streams, Firehose, Video, and Analytics.mp4
    15:06
  • 09.07.EMR with Spark.mp4
    06:20
  • 09.08.EC2 for ML.mp4
    10:54
  • 09.09.Amazon ML.mp4
    02:03
  • 10.01.Section Introduction.mp4
    03:15
  • 10.02.Amazon Rekognition (Images) Part 1.mp4
    13:35
  • 10.03.Amazon Rekognition (Images) Part 2 - the API.mp4
    23:19
  • 10.04.Amazon Rekognition (Video).mp4
    12:32
  • 10.05.Amazon Polly.mp4
    09:23
  • 10.06.Amazon Transcribe.mp4
    10:27
  • 10.07.Amazon Translate.mp4
    13:52
  • 10.08.Amazon Comprehend.mp4
    14:29
  • 10.09.Amazon Lex.mp4
    13:32
  • 10.10.Amazon Service Chaining with AWS Step Functions.mp4
    16:26
  • 11.01.Section Introduction.mp4
    01:39
  • 11.02.What is Amazon SageMaker.mp4
    07:18
  • 11.03.The Three Stages.mp4
    03:15
  • 11.04.Control (ConsoleSDKNotebooks).mp4
    12:07
  • 11.05.SageMaker Notebooks.mp4
    15:07
  • 12.01.Data Preprocessing.mp4
    13:57
  • 12.02.Ground Truth.mp4
    09:41
  • 12.03.Preprocessing Image Data (Pinehead NotPinehead).mp4
    26:38
  • 12.04.Algorithms.mp4
    14:30
  • 13.01.SageMaker Algorithms - Architecture 1.mp4
    10:19
  • 13.02.SageMaker Algorithms - Architecture 2.mp4
    07:02
  • 13.03.SageMaker Algorithms - Architecture 3.mp4
    05:58
  • 13.04.Training an Image Classifier - Part 1 (Pinehead NotPinehead).mp4
    19:02
  • 13.05.Training an Image Classifier - Part 2 (Pinehead NotPinehead).mp4
    04:48
  • 13.06.Hyperparameter Tuning.mp4
    10:21
  • 14.01.Inference Pipelines.mp4
    03:42
  • 14.02.Real-Time and Batch Inference.mp4
    06:01
  • 14.03.Deploy an Image Classifier (Pinehead, NotPinehead).mp4
    16:33
  • 14.04.Accessing Inference from Apps.mp4
    03:56
  • 14.05.Create a custom API for inference - Part 1 (Pinehead NotPinehead).mp4
    09:05
  • 14.06.Create a custom API for inference - Part 2 (Pinehead NotPinehead).mp4
    11:51
  • 15.01.Securing SageMaker Notebooks.mp4
    19:13
  • 15.02.SageMaker and the VPC.mp4
    04:45
  • 16.01.Section Introduction.mp4
    00:52
  • 16.02.DeepLens - Part 1.mp4
    24:07
  • 16.03.DeepLens - Part 2.mp4
    05:30
  • 16.04.DeepRacer - Part 1.mp4
    23:07
  • 16.05.DeepRacer - Part 2.mp4
    05:25
  • 17.01.How to Answer Questions.mp4
    16:16
  • 17.02.How to Prepare.mp4
    07:07
  • 18.01.Goodbye!.mp4
    04:37
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    A Cloud Guru is an online training platform for people interested in Information Technology. Most of the courses offered prepare students to take certification exams for the three major cloud providers.
    • language english
    • Training sessions 97
    • duration 15:25:34
    • Release Date 2024/04/28