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01 - AWS Certified Machine Learning-Specialty (ML-S) - Introduction.mp4
64.76MB
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02 - Learning objectives.mp4
38.07MB
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03 - 1.1 Get an overview of the certification.mp4
181.26MB
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04 - 1.2 Use exam study resources.mp4
90.59MB
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05 - 1.3 Review the exam guide.mp4
331.57MB
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06 - 1.4 Learn the exam strategy.mp4
87MB
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07 - 1.5 Learn the best practices of ML on AWS.mp4
108.77MB
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08 - 1.6 Learn the techniques to accelerate hands-on practice.mp4
90.06MB
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09 - 1.7 Understand important ML related services.mp4
699.75MB
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10 - Learning objectives.mp4
36.07MB
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11 - 2.1 Learn data ingestion concepts.mp4
640.68MB
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12 - 2.2 Using data cleaning and preparation.mp4
143.95MB
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13 - 2.3 Learn data storage concepts.mp4
227.46MB
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14 - 2.4 Learn ETL solutions (Extract-Transform-Load).mp4
362.27MB
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15 - 2.5 Understand data batch vs data streaming.mp4
110.68MB
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16 - 2.6 Understand data security.mp4
162.01MB
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17 - 2.7 Learn data backup and recovery concepts.mp4
210.18MB
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18 - Learning objectives.mp4
29.58MB
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19 - 3.1 Understand data visualization - Overview.mp4
217.14MB
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20 - 3.2 Learn Clustering.mp4
159.48MB
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21 - 3.3 Use Summary Statistics.mp4
79.59MB
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22 - 3.4 Implement Heatmap.mp4
53.8MB
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23 - 3.5 Understand Principal Component Analysis (PCA).mp4
91.79MB
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24 - 3.6 Understand data distributions.mp4
91.86MB
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25 - 3.7 Use data normalization techniques.mp4
112.18MB
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26 - Learning objectives.mp4
25.55MB
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27 - 4.1 Understand AWS ML Systems - Overview (Sagemaker, AWS ML, EMR, MXNet).mp4
430.45MB
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28 - 4.2 Use Feature Engineering.mp4
271.25MB
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29 - 4.3 Train a Model.mp4
115.57MB
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30 - 4.4 Evaluate a Model.mp4
145.17MB
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31 - 4.5 Tune a Model.mp4
84.48MB
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32 - 4.6 Understand ML Inference.mp4
153.58MB
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33 - 4.7 Understand Deep Learning on AWS.mp4
292.69MB
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34 - Learning objectives.mp4
34.14MB
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35 - 5.1 Understand ML operations - Overview.mp4
189.53MB
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36 - 5.2 Use Containerization with Machine Learning and Deep Learning.mp4
233.4MB
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37 - 5.3 Implement continuous deployment and delivery for Machine Learning.mp4
176.4MB
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38 - 5.4 Understand A_B Testing production deployment.mp4
68.63MB
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39 - 5.5 Troubleshoot production deployment.mp4
165.17MB
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40 - 5.6 Understand production security.mp4
208.18MB
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41 - 5.7 Understand cost and efficiency of ML systems.mp4
229.19MB
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42 - Learning objectives.mp4
25.93MB
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43 - 6.1 Create Machine Learning Data Pipeline.mp4
281.18MB
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44 - 6.2 Perform Exploratory Data Analysis using AWS Sagemaker.mp4
200.25MB
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45 - 6.3 Create Machine Learning Model using AWS Sagemaker.mp4
226.35MB
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46 - 6.4 Deploy Machine Learning Model using AWS Sagemaker.mp4
284.22MB
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47 - Learning objectives.mp4
28.57MB
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48 - 7.1 Sagemaker Features.mp4
681.5MB
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49 - 7.2 DeepLense Features.mp4
331.77MB
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50 - 7.3 Kinesis Features.mp4
182.8MB
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51 - 7.4 AWS Flavored Python.mp4
160.63MB
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52 - 7.5 Cloud9.mp4
266.49MB
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53 - AWS Certified Machine Learning-Specialty (ML-S) - Summary.mp4
20.8MB
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