Hands-On Data Annotation: Applied Machine Learning
Hands-On Data Annotation: Applied Machine Learning
Duration: 3h 51m 38s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 552 MB
Genre: eLearning | Language: English
Duration: 3h 51m 38s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 552 MB
Genre: eLearning | Language: English
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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