DP-100 Part 3 - Deployment and Working with SDK
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3:10:08
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001 Course Introduction.mp4
01:01
001 Study Guide PDF.pdf
002 About the Training Architect.mp4
01:11
003 About the Exam.mp4
06:34
004 A Note on Data Science and Mathematics.mp4
01:36
005 A Note on Python.mp4
02:08
005 Quick Note PANDAS refers to Python Data Analysis Library.txt
006 Azure Machine Learning SDK.mp4
04:22
007 DP100 Part 1 Course.txt
007 DP100 Part 2 Course.txt
007 Introduction to Python Scripting Course.txt
007 Path to Certification.mp4
02:41
007 Using Pythons Math Science and Engineering Libraries Course.txt
001 Workspace and Compute Preparation.mp4
08:56
002 Configuring Run Settings for a Script.mp4
07:16
003 Consuming Data from a Dataset in an Experiment by Using SDK.mp4
05:07
004 Configure Run Settings for a Script.txt
004 Section Review.mp4
03:34
004 Working with Datasets Using SDK.txt
004 Workspace and Compute Preparation.txt
001 Creating a Pipeline by Using the SDK Part 1.mp4
06:05
002 Creating a Pipeline by Using the SDK Part 2.mp4
03:42
001 Using Automated ML Interface in Azure Machine Learning Studio.mp4
07:58
002 Preprocessing Options.mp4
06:08
003 Creating a Pipeline Using SDK.txt
003 Preprocessing.txt
003 Section Review.mp4
02:45
003 Using Automated ML Interface.txt
001 What Is a Hyperdrive and Can I Use It to Get to the Future.mp4
05:41
002 Tuning Hyperparameters for Peak Performance.mp4
05:18
003 Selecting a Sampling Method.mp4
04:30
004 Smokey and the Bandit and All His Rowdy Friends.mp4
03:44
005 Finding the Model That Has Optimal Hyperparameter Values.mp4
05:45
001 Model Interpretability and Explainers in Azure.mp4
07:05
002 Model Interpretability in Python.mp4
07:09
003 Hyperparameter Tuning.txt
003 Model Interpretability.txt
003 Section Review.mp4
03:26
001 Registering a Trained Model.mp4
03:54
002 Monitoring Model Usage with Azure Monitor.mp4
03:53
003 Monitoring Data Drift.mp4
10:03
001 Evaluating Deployment Options.mp4
08:05
002 Considering Security for Deployed Services.mp4
02:17
003 Microsoft Troubleshooting Guide.txt
003 Troubleshooting Container Issues.mp4
04:55
004 Considering Security.txt
004 Evaluating Deployment Options.txt
004 Monitoring Models.txt
004 Registering a Trained Model.txt
004 Section Review.mp4
03:10
004 Troubleshooting Container Issues.txt
001 Publishing a Batch Inferencing Pipeline.mp4
05:00
001 Azure Machine Learning Workspace Creation.mp4
04:50
002 Azure Machine Learning Data Management.mp4
03:15
003 Azure Machine Learning Compute.mp4
05:17
001 Azure Machine Learning Algorithm Cheat Sheet.txt
001 How to Select Algorithms for Azure Machine Learning.txt
001 Machine Learning Algorithms You Need to Know.mp4
06:05
002 Feature Selection Modules.txt
002 Feature Selection Some Tools and Concepts You Need to Know.mp4
03:48
002 Filter-Based Feature Selection.txt
003 Classic Machine Learning Models.mp4
05:20
001 Thanks and Whats Next.mp4
01:13
002 Exam Tips.mp4
05:21
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Acloud Guru
View courses Acloud GuruA 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 40
- duration 3:10:08
- Release Date 2023/12/08