|
RAR-files |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.rar |
15,000,000 |
42C571A6 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r00 |
15,000,000 |
F6C7A258 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r01 |
15,000,000 |
8A592163 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r02 |
15,000,000 |
D035FFE0 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r03 |
15,000,000 |
B083DB0C |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r04 |
15,000,000 |
41EB2F4F |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r05 |
15,000,000 |
1234A135 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r06 |
15,000,000 |
EA21A3E7 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r07 |
15,000,000 |
A7E74FEB |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r08 |
15,000,000 |
566ACF0F |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r09 |
15,000,000 |
5D30C36D |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r10 |
15,000,000 |
537C73DB |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r11 |
15,000,000 |
DAE4601E |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r12 |
15,000,000 |
BCD26982 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r13 |
15,000,000 |
C318C5C6 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r14 |
15,000,000 |
7730D099 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r15 |
15,000,000 |
112C3423 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r16 |
15,000,000 |
E1A58EEB |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r17 |
15,000,000 |
03DD6E9E |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r18 |
15,000,000 |
AC5EEEF0 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r19 |
15,000,000 |
A915A813 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r20 |
15,000,000 |
35B70368 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r21 |
15,000,000 |
1B2F7B26 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r22 |
15,000,000 |
29798485 |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r23 |
15,000,000 |
E9C965EC |
| rebar-microsoft.azure.ai.engineer.developing.ml.pipelines.in.microsoft.azure.r24 |
5,212,869 |
BBAF418E |
|
| Total size: |
380,212,869 |
|
|
| Archived
files |
|
01 - Course Overview\01 - Course Overview.mp4
[c075c6bf225899e8]
|
2,341,803 |
BAB052D0 |
|
02 - Understanding Machine Learning Workspaces\02 - Overview.mp4
[2f1fde9b4f0e37aa]
|
2,746,132 |
110DFF81 |
|
02 - Understanding Machine Learning Workspaces\03 - Preliminary Definitions.mp4
[ef2ed5a54605083b]
|
3,492,294 |
BCAC85C5 |
|
02 - Understanding Machine Learning Workspaces\04 - The Azure Machine Learning Landscape.mp4
[fa652743a0d52def]
|
8,903,438 |
545954B2 |
|
02 - Understanding Machine Learning Workspaces\05 - The Azure Machine Learning Workspace.mp4
[22f397dd2158545a]
|
8,035,973 |
B0374244 |
|
02 - Understanding Machine Learning Workspaces\06 - How You Interact with the Azure ML Workspace.mp4
[4fe83a33a2f9e2d6]
|
2,219,700 |
A5C084B2 |
|
02 - Understanding Machine Learning Workspaces\07 - Demo- Touring the Azure Machine Learning Workspace.mp4
[d003d19e69655e4b]
|
12,814,791 |
C6EE2BE8 |
|
02 - Understanding Machine Learning Workspaces\08 - Demo- Touring Azure Machine Learning Studio.mp4
[2d2b70a7ab798805]
|
28,078,712 |
6BE43539 |
|
02 - Understanding Machine Learning Workspaces\09 - Summary.mp4
[83667ac51b527939]
|
1,892,341 |
AA63B712 |
|
03 - Understanding Azure ML Pipelines\10 - Overview.mp4
[84d10ff5ce2eed08]
|
1,232,007 |
D7EE9BA9 |
|
03 - Understanding Azure ML Pipelines\11 - Preliminary Definitions.mp4
[3e44093f741ced96]
|
4,615,497 |
4D86D865 |
|
03 - Understanding Azure ML Pipelines\12 - The Azure Machine Learning Pipeline.mp4
[acd6b75f64ba682c]
|
10,965,402 |
888EED5F |
|
03 - Understanding Azure ML Pipelines\13 - Publishing an Azure ML Pipeline.mp4
[1323a88e80f08e54]
|
1,894,068 |
34606BE3 |
|
03 - Understanding Azure ML Pipelines\14 - Planning an Azure ML Pipeline.mp4
[5ed00d47fee0047c]
|
1,708,823 |
B43CD1AD |
|
03 - Understanding Azure ML Pipelines\15 - Demo- Build an Azure ML Pipeline.mp4
[fe3467ada93de10f]
|
25,060,417 |
FBCFD672 |
|
03 - Understanding Azure ML Pipelines\16 - Demo- Run and Publish the ML Pipeline.mp4
[67c74f0f62a7a37b]
|
14,898,378 |
88127D5D |
|
03 - Understanding Azure ML Pipelines\17 - Summary.mp4
[5fb2582311ef7c77]
|
2,270,775 |
B199FCBF |
|
04 - Managing Machine Learning Workspaces\18 - Overview.mp4
[9c2f5ee693f358de]
|
1,471,414 |
444B36F7 |
|
04 - Managing Machine Learning Workspaces\19 - Understand the Azure Machine Learning Workspace.mp4
[7002d8c7fa40c6fa]
|
5,086,541 |
6EA901BE |
|
04 - Managing Machine Learning Workspaces\20 - Create a Workspace.mp4
[ff8a14b4cbdb20e6]
|
2,896,759 |
006FFDC3 |
|
04 - Managing Machine Learning Workspaces\21 - Demo- Deploy an Azure ML Workspace.mp4
[aa566f68bacd61f3]
|
13,261,055 |
56B5EE7D |
|
04 - Managing Machine Learning Workspaces\22 - Demo- Getting Familiar with the Workspace.mp4
[a7bfd384248041f4]
|
8,460,224 |
7B893CA8 |
|
04 - Managing Machine Learning Workspaces\23 - Demo- Working with Jupyter Notebooks.mp4
[16f599576e138277]
|
14,141,644 |
52F34622 |
|
04 - Managing Machine Learning Workspaces\24 - Role-Based Access Control (RBAC) in Azure.mp4
[15a0fa42c83d338f]
|
2,889,768 |
FC44AC03 |
|
04 - Managing Machine Learning Workspaces\25 - Demo- Secure Azure ML with RBAC.mp4
[d30762ffe034c7f1]
|
7,378,939 |
D6403A16 |
|
04 - Managing Machine Learning Workspaces\26 - Demo- Create and Test a Custom RBAC Role.mp4
[1b9ff3713bd1f9b7]
|
18,804,681 |
7A880D49 |
|
04 - Managing Machine Learning Workspaces\27 - Summary.mp4
[21f4eb3a10edacbd]
|
2,680,052 |
91EC6F65 |
|
05 - Implementing AI Pipelines\28 - Overview.mp4
[d4aa29c264e22424]
|
1,232,518 |
3F3F0F08 |
|
05 - Implementing AI Pipelines\29 - The Azure ML Pipeline Deployment Process.mp4
[86dc29ee9384d59b]
|
5,079,669 |
A902C291 |
|
05 - Implementing AI Pipelines\30 - Demo- Set up Our Workspace Environment.mp4
[ef42134e4f29356a]
|
16,982,697 |
33529C04 |
|
05 - Implementing AI Pipelines\31 - Demo- Run an Experiment with the Python SDK.mp4
[1c1ab3f13f1fa623]
|
31,172,734 |
9CCC7FC4 |
|
05 - Implementing AI Pipelines\32 - The Azure Data Science Virtual Machine.mp4
[f45e71f7c0463c7a]
|
5,254,677 |
29B9EA8C |
|
05 - Implementing AI Pipelines\33 - Demo- Deploy an Azure Data Science VM.mp4
[4cf0e6df9d1543e7]
|
19,527,663 |
A9089B7A |
|
05 - Implementing AI Pipelines\34 - Summary.mp4
[f6b8c0daa7e46860]
|
1,406,901 |
28A41EB0 |
|
06 - Managing Experiments\35 - Overview.mp4
[f97cb13218fe4ea8]
|
1,511,942 |
678241A0 |
|
06 - Managing Experiments\36 - Datastore vs. Dataset.mp4
[5e6823d395bd35c9]
|
8,204,256 |
CDBCE4D2 |
|
06 - Managing Experiments\37 - Automated Machine Learning.mp4
[946a0acd692419eb]
|
3,243,566 |
E5E60A8D |
|
06 - Managing Experiments\38 - Demo- Prepare a Datastore.mp4
[f73549a50b3ced4f]
|
10,308,066 |
02AFCA5D |
|
06 - Managing Experiments\39 - Demo- Prepare a Dataset.mp4
[62625cd69418c306]
|
5,471,710 |
D22BC32A |
|
06 - Managing Experiments\40 - Demo- Create an Automated ML Experiment.mp4
[b4c05c0ebc7492af]
|
5,967,777 |
0AA57BA1 |
|
06 - Managing Experiments\41 - Demo- Deploy the Best ML Model.mp4
[2202f1cc4f977842]
|
5,320,871 |
990A2083 |
|
06 - Managing Experiments\42 - Summary.mp4
[4c2eefb55a31c163]
|
1,569,062 |
858D8D92 |
|
07 - Managing Data Flow and Logging\43 - Overview.mp4
[d863f614646ae3c8]
|
879,812 |
89997DB6 |
|
07 - Managing Data Flow and Logging\44 - Monitoring the ML Model Training Process.mp4
[d82b39bb7752ceb5]
|
2,168,916 |
EEC225B2 |
|
07 - Managing Data Flow and Logging\45 - Demo- Monitoring Experiments in Azure Machine Learning Studio.mp4
[777024216f6c40c]
|
5,490,993 |
26ADFBF5 |
|
07 - Managing Data Flow and Logging\46 - Demo- Using the Azure ML Pyhon SDK to Monitor Model Training.mp4
[1cbc5e33cd99bfa1]
|
12,659,045 |
C8D7823C |
|
07 - Managing Data Flow and Logging\47 - Monitoring the Azure Machine Learning Service.mp4
[355811dfc5d7b5d7]
|
1,581,100 |
287F58BA |
|
07 - Managing Data Flow and Logging\48 - Demo- Plotting Azure ML Resource Metrics and Raising Alerts.mp4
[8d71558c055242d5]
|
11,162,907 |
852729ED |
|
07 - Managing Data Flow and Logging\49 - Demo- Querying Azure ML Log Data.mp4
[f6ed048d5d7ea470]
|
7,109,175 |
A07430FF |
|
07 - Managing Data Flow and Logging\50 - Summary.mp4
[b76f7a0e5307bfd3]
|
2,300,865 |
B8367ED4 |
|
microsoft-azure-developing-ml-pipelines.zip |
4,354,435 |
A3E41BE6 |
|
01 - Course Overview |
0 |
00000000 |
|
02 - Understanding Machine Learning Workspaces |
0 |
00000000 |
|
03 - Understanding Azure ML Pipelines |
0 |
00000000 |
|
04 - Managing Machine Learning Workspaces |
0 |
00000000 |
|
05 - Implementing AI Pipelines |
0 |
00000000 |
|
06 - Managing Experiments |
0 |
00000000 |
|
07 - Managing Data Flow and Logging |
0 |
00000000 |
|
| Total size: |
380,202,985 |
|
|
