Hands-On Data Annotation: Applied Machine Learning
Focused View
Wuraola Oyewusi
3:51:36
6 View
01 - Data annotation for machine learning.mp4
00:49
01 - What is data annotation.mp4
00:37
02 - Why is data annotation important in machine learning.mp4
01:18
03 - Principles of data annotation.mp4
03:06
04 - Types of data annotation.mp4
01:17
05 - Data storage structure.mp4
02:41
06 - Data annotation tools and formats.mp4
03:20
07 - Data annotation quality.mp4
02:43
01 - Labeling for image classification in notebook using Pigeon.mp4
06:28
02 - Data annotation with Computer Vision Annotation Tool (CVAT).mp4
03:39
03 - Annotation for image classification using CVAT.mp4
05:53
04 - Data labeling for object detection using CVAT.mp4
04:34
05 - Model-assisted labeling for object detection using CVAT.mp4
05:50
06 - Polygon masking in CVAT for semantic segmentation.mp4
04:07
07 - Segment Anything Model (SAM) for Polygon masking in CVAT.mp4
03:48
08 - Data annotation with Roboflow Annotate (setup).mp4
01:46
09 - Single label for image classification in Roboflow Annotate.mp4
05:42
10 - Multi-label for image classification in Roboflow Annotate.mp4
05:28
11 - Image labeling for object detection using Roboflow Annotate.mp4
05:06
12 - Export annotation in a different format in Roboflow Annotate.mp4
01:53
13 - Smart Polygon in Roboflow Annotate.mp4
02:37
14 - Model-assisted video annotation in Roboflow Annotate.mp4
03:29
15 - Collaboration in Roboflow Annotate.mp4
00:57
01 - Text labeling for sentiment analysis in spreadsheets.mp4
06:18
02 - Data annotation with Universal Data Tool (UDT).mp4
01:15
03 - Named Entity Recognition labeling using Universal Data Tool.mp4
03:39
04 - Label text for classification using the Universal Data Tool.mp4
02:32
05 - Text data annotation with Prodigy (setup).mp4
03:36
06 - Manual annotation for named entity recognition with Prodigy.mp4
04:44
07 - Semi-automatic text annotation for NER with Prodigy.mp4
04:07
08 - Command line text annotation for NER with Prodigy.mp4
03:47
09 - labeling for text classification with Prodigy.mp4
04:20
10 - Part of speech (POS) labeling with Prodigy.mp4
03:52
11 - Sentence boundary labeling with Prodigy.mp4
03:15
12 - Audio data labeling with Prodigy.mp4
04:44
13 - Audio data transcription with Prodigy.mp4
03:37
01 - Data annotation on AWS SageMaker Ground Truth (setup).mp4
03:41
02 - Single label image classification annotation in AWS.mp4
05:51
03 - Multi-label image classification annotation in AWS.mp4
04:12
04 - Image bounding box annotation for object detection in AWS.mp4
05:01
05 - Image semantic segmentation annotation in AWS.mp4
04:35
06 - Video object tracking annotation in AWS.mp4
06:06
07 - Text labeling for classification in AWS.mp4
03:27
08 - NER text labeling in AWS.mp4
04:00
09 - Data annotation on Azure Machine Learning Studio (setup).mp4
01:54
10 - Multi-class image classification annotation in Azure ML.mp4
06:11
11 - Multi-label image classification annotation in Azure ML.mp4
05:21
12 - Image bounding box annotation for object detection in Azure.mp4
06:06
13 - Image instance segmentation annotation in Azure.mp4
05:29
14 - Text labeling for classification in Azure.mp4
05:14
15 - NER text labeling in Azure.mp4
04:06
16 - Audio transcription in Azure ML Studio.mp4
02:46
17 - Data annotation on GCP Vertex AI (setup).mp4
03:16
18 - Multi-label image annotation in GCP.mp4
06:01
19 - Image bounding box annotation for object detection in GCP.mp4
05:19
20 - Text entity annotation in GCP.mp4
03:26
21 - Text sentiment scale labeling in GCP.mp4
04:12
22 - Single-label text labeling in GCP.mp4
03:32
23 - Video classification annotation in GCP.mp4
04:56
Description
Are you curious how data powers machine learning and data science? In this course, Wuraola Oyewusi dives into the intricacies of data annotation for machine learning and shows how data is prepared and used for training of machine learning models. Wuraola starts with a big-picture look at the principles, types, and importance of data annotation in machine learning pipelines. She then dives into hands-on use cases for data annotation in natural language processing, computer vision, and general data science using different tools. Other topics include using both open-source and proprietary tools such for data notation, as well as labeling data on major cloud platforms like AWS, Azure, and GCP.
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Wuraola Oyewusi
Instructor's CoursesExperienced data scientist (DS), machine learning (ML), and artificial intelligence (AI) professional with expertise in natural language processing (NLP), healthcare, data curation, and research.
Recognized as a UK Global Talent in AI, Machine Learning, and Data Science
Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 59
- duration 3:51:36
- English subtitles has
- Release Date 2024/02/15
