| LA340/001 - Course Introduction.mp4 |
40.9 MB |
| LA340/002 - About the Training Architect.mp4 |
21.8 MB |
| LA340/003 - About the Exam.mp4 |
152.2 MB |
| LA340/004 - Artificial Intelligence.mp4 |
21.2 MB |
| LA340/005 - What Is Machine Learning?.mp4 |
40.8 MB |
| LA340/006 - What Is Deep Learning?.mp4 |
38.6 MB |
| LA340/007 - Section Introduction.mp4 |
11.2 MB |
| LA340/008 - Machine Learning Lifecycle.mp4 |
59.8 MB |
| LA340/009 - Supervised, Unsupervised, and Reinforcement.mp4 |
40.7 MB |
| LA340/010 - Optimization.mp4 |
31.6 MB |
| LA340/011 - Regularization.mp4 |
16 MB |
| LA340/012 - Hyperparameters.mp4 |
24.1 MB |
| LA340/013 - Validation.mp4 |
15 MB |
| LA340/014 - Section Introduction.mp4 |
9.8 MB |
| LA340/015 - Feature Selection and Engineering.mp4 |
35.6 MB |
| LA340/016 - Principal Component Analysis (PCA).mp4 |
40.5 MB |
| LA340/017 - Missing and Unbalanced Data.mp4 |
43.4 MB |
| LA340/018 - Label and One Hot Encoding.mp4 |
14.8 MB |
| LA340/019 - Splitting and Randomization.mp4 |
16.6 MB |
| LA340/020 - RecordIO Format.mp4 |
21.1 MB |
| LA340/021 - Section Introduction.mp4 |
8.1 MB |
| LA340/022 - Logistical Regression.mp4 |
32.3 MB |
| LA340/023 - Linear Regression.mp4 |
24.3 MB |
| LA340/024 - Support Vector Machines.mp4 |
21.5 MB |
| LA340/025 - Decision Trees.mp4 |
38.7 MB |
| LA340/026 - Random Forests.mp4 |
25.9 MB |
| LA340/027 - K-Means.mp4 |
33.8 MB |
| LA340/028 - K-Nearest Neighbour.mp4 |
13.8 MB |
| LA340/029 - Latent Dirichlet Allocation (LDA) Algorithm.mp4 |
38.9 MB |
| LA340/030 - Section Introduction.mp4 |
8 MB |
| LA340/031 - Neural Networks.mp4 |
71.9 MB |
| LA340/032 - Convolutional Neural Networks (CNN).mp4 |
45.1 MB |
| LA340/033 - Recurrent Neural Networks (RNN).mp4 |
42 MB |
| LA340/034 - Section Introduction.mp4 |
17 MB |
| LA340/035 - Confusion Matrix.mp4 |
49 MB |
| LA340/036 - Sensitivity and Specificity.mp4 |
84.2 MB |
| LA340/037 - Accuracy and Precision.mp4 |
31.6 MB |
| LA340/038 - ROC_AUC.mp4 |
69.4 MB |
| LA340/039 - Gini Impurity.mp4 |
35.1 MB |
| LA340/040 - F1 Score.mp4 |
25.4 MB |
| LA340/041 - Introduction to Jupyter Notebooks.mp4 |
66.9 MB |
| LA340/042 - ML and DL Frameworks.mp4 |
40.3 MB |
| LA340/043 - TensorFlow.mp4 |
83.2 MB |
| LA340/044 - PyTorch.mp4 |
39.7 MB |
| LA340/045 - MXNet.mp4 |
32.4 MB |
| LA340/046 - Scikit-learn.mp4 |
94.3 MB |
| LA340/047 - S3.mp4 |
90.6 MB |
| LA340/048 - Glue.mp4 |
83.9 MB |
| LA340/049 - Athena.mp4 |
86.6 MB |
| LA340/050 - QuickSight.mp4 |
47.4 MB |
| LA340/051 - Kinesis, Streams, Firehose, Video, and Analytics.mp4 |
82.3 MB |
| LA340/052 - EMR with Spark.mp4 |
32.9 MB |
| LA340/053 - EC2 for ML.mp4 |
60.8 MB |
| LA340/054 - Amazon ML.mp4 |
13 MB |
| LA340/055 - Section Introduction.mp4 |
37.5 MB |
| LA340/056 - Amazon Rekognition (Images) Part 1.mp4 |
90.8 MB |
| LA340/057 - Amazon Rekognition (Images) Part 2 - the API.mp4 |
161.3 MB |
| LA340/058 - Amazon Rekognition (Video).mp4 |
48.5 MB |
| LA340/059 - Amazon Polly.mp4 |
52 MB |
| LA340/060 - Amazon Transcribe.mp4 |
53.3 MB |
| LA340/061 - Amazon Translate.mp4 |
88.6 MB |
| LA340/062 - Amazon Comprehend.mp4 |
71.8 MB |
| LA340/063 - Amazon Lex.mp4 |
77.8 MB |
| LA340/064 - Amazon Service Chaining with AWS Step Functions.mp4 |
66.1 MB |
| LA340/065 - Section Introduction.mp4 |
19.1 MB |
| LA340/066 - What is Amazon SageMaker?.mp4 |
39.7 MB |
| LA340/067 - The Three Stages.mp4 |
13.4 MB |
| LA340/068 - Control (Console_SDK_Notebooks).mp4 |
84.3 MB |
| LA340/069 - SageMaker Notebooks.mp4 |
95.8 MB |
| LA340/070 - Data Preprocessing.mp4 |
59.6 MB |
| LA340/071 - Ground Truth.mp4 |
40.3 MB |
| LA340/072 - Preprocessing Image Data (Pinehead NotPinehead).mp4 |
192.2 MB |
| LA340/073 - Algorithms.mp4 |
69.6 MB |
| LA340/074 - SageMaker Algorithms - Architecture 1.mp4 |
52.8 MB |
| LA340/075 - SageMaker Algorithms - Architecture 2.mp4 |
49 MB |
| LA340/076 - SageMaker Algorithms - Architecture 3.mp4 |
23.6 MB |
| LA340/077 - Training an Image Classifier - Part 1 (Pinehead NotPinehead).mp4 |
126.7 MB |
| LA340/078 - Training an Image Classifier - Part 2 (Pinehead NotPinehead).mp4 |
31.6 MB |
| LA340/079 - Hyperparameter Tuning.mp4 |
57.6 MB |
| LA340/080 - Inference Pipelines.mp4 |
18.2 MB |
| LA340/081 - Real-Time and Batch Inference.mp4 |
24.2 MB |
| LA340/082 - Deploy an Image Classifier (Pinehead, NotPinehead).mp4 |
110.5 MB |
| LA340/083 - Accessing Inference from Apps.mp4 |
17 MB |
| LA340/084 - Create a custom API for inference - Part 1 (Pinehead NotPinehead).mp4 |
65.2 MB |
| LA340/085 - Create a custom API for inference - Part 2 (Pinehead NotPinehead).mp4 |
105.9 MB |
| LA340/086 - Securing SageMaker Notebooks.mp4 |
112.6 MB |
| LA340/087 - SageMaker and the VPC.mp4 |
23.1 MB |
| LA340/088 - Section Introduction.mp4 |
10.2 MB |
| LA340/089 - DeepLens - Part 1.mp4 |
171.8 MB |
| LA340/090 - DeepLens - Part 2.mp4 |
50.9 MB |
| LA340/091 - DeepRacer - Part 1.mp4 |
175.4 MB |
| LA340/092 - DeepRacer - Part 2.mp4 |
38.7 MB |
| LA340/093 - How to Answer Questions.mp4 |
119.6 MB |
| LA340/094 - How to Prepare.mp4 |
62.7 MB |
| LA340/095 - Goodbye!.mp4 |
40.4 MB |
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