UD440 | E62A6F5E5C24DC10F31CE90166375A8AC0CA00BF

UD440

Name	UD440	DOWNLOAD Copy Link
Total Size	9.4 GB
Total Files	185
Hash	E62A6F5E5C24DC10F31CE90166375A8AC0CA00BF

/01 INTRODUCTION DATAML LINGO AWS DATA STORAGE/
001 What makes this course unique.mp4	31.4 MB
002 AWS Machine Learning Exam Overview.mp4	79.5 MB
003 Course Outline.mp4	83.7 MB
004 BONUS Learning Path.html	2.2 KB
005 Guidelines and Best Practices.mp4	20.3 MB
006 Section Introduction.mp4	43.3 MB
007 What is Machine Learning and AI - Part 1.mp4	94.9 MB
008 What is Machine Learning and AI - Part 2.mp4	82.7 MB
009 Amazon Web Services.mp4	46.2 MB
010 AIML Data Lingo - Labeled vs. unlabeled.mp4	129.8 MB
011 AIML Data Lingo - Data Types.mp4	97.8 MB
012 Database vs. datalake vs. warehouse.mp4	66.5 MB
013 AWS Storage S3 DynamoDB RDS.mp4	85.3 MB
014 GET YOUR BONUS MATERIALS.html	1.2 KB
015 1.Intro-Data-ML-Lingo-AWS-Storage.pdf	16.9 MB
015 Section 1 Slides.html	0.9 KB
/02 AMAZON S3/
016 Section Introduction.mp4	21.5 MB
017 Amazon S3 Partitions and Tags.mp4	119.7 MB
018 S3 Storage Tiers and LifeCycle Polices.mp4	64.5 MB
019 S3 Encryption.mp4	53.5 MB
020 S3 Security - Part 1.mp4	70.9 MB
021 S3 Security - Part 2.mp4	47.2 MB
022 Additional Information.mp4	28.3 MB
023 GET YOUR BONUS MATERIALS.html	1.2 KB
024 2.Amazon-S3.pdf	9.2 MB
024 Section 2 Slides.html	0.9 KB
/03 AWS DATA MIGRATION GLUE PIPELINE STEP and BATCH/
025 Section Introduction.mp4	23.8 MB
026 AWS Glue part 1.mp4	56.7 MB
027 AWS Glue part 2.mp4	79.6 MB
028 AWS Data Pipeline.mp4	71.1 MB
029 AWS Data Migration Service DMS.mp4	29.7 MB
030 AWS Batch.mp4	25.2 MB
031 AWS Step Function.mp4	78.9 MB
032 GET YOUR BONUS MATERIALS.html	1.2 KB
033 3.AWS-DMS-Glue-Pipeline-Step-and-Batch.pdf	9.4 MB
033 Section 3 Slides.html	0.9 KB
/04 DATA STREAMING AND KINESIS/
034 Section Introduction.mp4	39.8 MB
035 Kinesis Overview.mp4	75.0 MB
036 AWS Kinesis Video Streams - Part 1.mp4	58.4 MB
037 AWS Kinesis Video Streams - Part 2.mp4	83.1 MB
038 AWS Kinesis Data Streams - Part 1.mp4	51.8 MB
039 AWS Kinesis Data Streams - Part 2.mp4	61.9 MB
040 AWS Kinesis Firehose.mp4	55.3 MB
041 AWS Kinesis Analytics - Part 1.mp4	27.3 MB
042 AWS Kinesis Analytics - Part 2.mp4	84.3 MB
043 GET YOUR BONUS MATERIALS.html	1.2 KB
044 4.Data-Streaming-Kinesis.pdf	13.1 MB
044 Section 4 Slides.html	0.9 KB
/05 JUPYTER NOTEBOOK SCIKIT-LEARN PYTHON PACKAGES AND DISTRIBUTIONS/
045 Section Introduction.mp4	50.5 MB
046 Jupyter Notebooks and Scikit Learn.mp4	61.8 MB
047 Python Packages (Pandas Numpy Matplotlib and Seaborn).mp4	94.7 MB
048 Data Visualization.mp4	52.2 MB
049 Distributions (Normal Standard Poisson Bernoulli).mp4	90.3 MB
050 Time Series.mp4	21.8 MB
051 GET YOUR BONUS MATERIALS.html	1.2 KB
052 5.Jupyter-Scikit-Learn-Distributions.pdf	9.3 MB
052 Section 5 Slides.html	0.9 KB
/06 ATHENA QUICKSIGHT EMR/
053 Section Introduction.mp4	23.2 MB
054 Athena - Part 1.mp4	80.2 MB
055 Athena - Part 2.mp4	73.5 MB
056 Amazon Quicksight - Part 1.mp4	41.6 MB
057 Amazon Quicksight - Part 2.mp4	111.0 MB
058 Elastic Map Reduce - Part 1.mp4	86.3 MB
059 Elastic Map Reduce - Part 2.mp4	93.9 MB
060 EMR and Hadoop.mp4	61.1 MB
061 EMR and Spark.mp4	44.3 MB
062 GET YOUR BONUS MATERIALS.html	1.2 KB
063 6.Athena-QuickSight-EMR.pdf	18.0 MB
063 Section 6 Slides.html	0.9 KB
/07 FEATURE ENGINEERING/
064 Introduction to Feature Engineering.mp4	18.4 MB
065 Feature Engineering Overview.mp4	80.7 MB
066 Amazon SageMaker GroundTruth.mp4	88.5 MB
067 Feature Selection.mp4	56.2 MB
068 Scaling.mp4	83.4 MB
069 Imputation.mp4	87.1 MB
070 Outliers.mp4	36.2 MB
071 One Hot Encoding.mp4	26.2 MB
072 Binning.mp4	44.1 MB
073 Log Transformation.mp4	28.4 MB
074 Shuffling Feature Splitting Unbalanced Datasets.mp4	49.2 MB
075 Text Feature Engineering overview.mp4	31.2 MB
076 Bag of words punctuation and dates (easy ones).mp4	38.4 MB
077 Term Frequency Inverse Document Frequency (TF-IDF).mp4	63.3 MB
078 N-Grams (Unigram vs. Bigram vs. Trigram).mp4	39.3 MB
079 Orthogonal Sparse Bigram (OSB).mp4	27.5 MB
080 Cartesian Product Transformation.mp4	26.9 MB
081 GET YOUR BONUS MATERIALS.html	1.2 KB
082 7.Feature-Engineering.pdf	21.4 MB
082 Section 7 Slides.html	0.9 KB
/08 MACHINE AND DEEP LEARNING BASICS - PART 1/
083 Section Introduction.mp4	67.9 MB
084 Artificial Neural Networks Basics Single Neuron Model.mp4	44.8 MB
085 Activation Functions.mp4	40.0 MB
086 Multi-Layer Perceptron Model.mp4	46.8 MB
087 How do Artificial Neural Networks Train.mp4	131.1 MB
088 ANN Parameters Tuning Learning rate and batch size.mp4	98.8 MB
089 Tensorflow playground.mp4	159.5 MB
090 Gradient Descent and Backpropagation.mp4	78.9 MB
091 Overfitting and Under fitting.mp4	46.2 MB
092 How to overcome overfitting.mp4	82.6 MB
093 Bias Variance Trade-off.mp4	96.9 MB
094 L2 Regularization.mp4	73.1 MB
095 L1 Regularization.mp4	41.2 MB
096 GET YOUR BONUS MATERIALS.html	1.2 KB
097 8.Machine-and-Deep-Learning-Basics-Part-1.pdf	11.8 MB
097 Section 8 Slides.html	0.9 KB
/09 MACHINE AND DEEP LEARNING BASICS - PART 2/
098 Section Introduction.mp4	21.3 MB
099 Artificial Neural Networks Architectures.mp4	80.8 MB
100 Convolutional Neural Networks.mp4	176.5 MB
101 Recurrent Neural Networks.mp4	83.1 MB
102 Vanishing Gradient Problem.mp4	78.3 MB
103 Long Short Term Memory (LSTM) Networks.mp4	63.6 MB
104 Model Performance Assessment Confusion Matrix.mp4	49.4 MB
105 Model Performance Assessment Precision recall F1-score.mp4	159.2 MB
106 Model Performance Assessment ROC AUC Heatmap and RMSE.mp4	96.9 MB
107 Transfer Learning.mp4	102.5 MB
108 Ensemble Learning - Bagging and Boosting.mp4	89.9 MB
109 K Fold Cross Validation.mp4	21.8 MB
110 GET YOUR BONUS MATERIALS.html	1.2 KB
111 9.Machine-and-Deep-Learning-Basics-Part-2.pdf	16.1 MB
111 Section 9 Slides.html	0.9 KB
/10 MACHINE AND DEEP LEARNING IN AWS - PART 1/
112 Section Introduction.mp4	26.8 MB
113 AWS SageMaker.mp4	92.6 MB
114 AWS SageMaker Part 2.mp4	137.1 MB
115 Deep Learning on AWS.mp4	27.9 MB
116 SageMaker Built-in algorithms overview.mp4	74.7 MB
117 Object Detection.mp4	101.0 MB
118 Image classification.mp4	68.9 MB
119 Semantic Segmentation.mp4	85.3 MB
120 Linear Learner.mp4	72.8 MB
121 Factorization Machines.mp4	47.3 MB
122 XGboost.mp4	31.3 MB
123 Seq2Seq.mp4	58.2 MB
124 DeepAR.mp4	78.1 MB
125 Blazing Text.mp4	98.8 MB
126 GET YOUR BONUS MATERIALS.html	1.2 KB
127 10.Machine-and-Deep-Learning-in-AWS-Part-1.pdf	18.9 MB
127 Section 10 Slides.html	0.9 KB
/11 MACHINE AND DEEP LEARNING IN AWS - PART 2/
128 Section Introduction.mp4	24.4 MB
129 SageMaker Built-in Algorithms Overview.mp4	48.0 MB
130 Random Cut Forest.mp4	81.7 MB
131 K Nearest Neighbors KNN.mp4	83.7 MB
132 K Means.mp4	44.0 MB
133 Principal Component Analysis PCA.mp4	36.5 MB
134 IP Insights.mp4	59.1 MB
135 Reinforcement Learning.mp4	98.6 MB
136 Neural Topic Model NTM.mp4	35.8 MB
137 LDA.mp4	30.7 MB
138 Object2Vec.mp4	68.0 MB
139 Multi Model.mp4	11.3 MB
140 Automatic Model Tuning.mp4	92.4 MB
141 GET YOUR BONUS MATERIALS.html	1.2 KB
142 11.Machine-and-Deep-Learning-in-AWS-Part-2.pdf	15.0 MB
142 Section 11 Slides.html	0.9 KB
/12 AWS HIGH LEVEL AIML SERVICES/
143 Section Introduction.mp4	24.7 MB
144 SageMaker AIML High Level Services.mp4	23.8 MB
145 Top 5 AIML Services.mp4	212.0 MB
146 ReKognition.mp4	52.6 MB
147 Amazon Comprehend and Comprehend Medical.mp4	53.9 MB
148 Translate.mp4	43.3 MB
149 Transcribe.mp4	50.0 MB
150 Polly.mp4	14.5 MB
151 Forecast.mp4	52.9 MB
152 Lex.mp4	50.8 MB
153 Personalize.mp4	30.2 MB
154 Textract.mp4	24.7 MB
155 AWS DeepLens.mp4	53.2 MB
156 AWS DeepRacer.mp4	27.2 MB
157 GET YOUR BONUS MATERIALS.html	1.2 KB
158 12.Machine-and-Deep-Learning-in-AWS-High-level-AIML-Part-3.pdf	16.3 MB
158 Section 12 Slides.html	0.9 KB
/13 ML IMPLEMENTATION AND OPERATION/
159 Introduction.mp4	49.7 MB
160 SageMaker Components Review.mp4	88.8 MB
161 SageMaker Model Deployment.mp4	65.1 MB
162 Resources and Instance Types.mp4	128.5 MB
163 Online vs. Offline Validation.mp4	87.6 MB
164 Production Variants and Canary Deployment.mp4	42.1 MB
165 SageMaker Neo.mp4	43.3 MB
166 AWS IoT Greengrass.mp4	33.7 MB
167 Docker Containers.mp4	64.8 MB
168 AWS Security Overview.mp4	48.8 MB
169 In-Transit and Rest Encryption.mp4	33.2 MB
170 AWS CloudWatch.mp4	40.1 MB
171 AWS CloudTrail.mp4	24.3 MB
172 13.ML-Implementation-and-Operation.pdf	3.5 MB
172 Section 13 Slides.html	0.9 KB
Total files 185