Hands-On Data Annotation: Applied Machine Learning | LinkedIn


Hands-On Data Annotation: Applied Machine Learning | LinkedIn
English | Size: 585.34 MB
Genre: eLearning

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.

DOWNLOAD FROM RAPIDGATOR

rapidgator.net/file/62758127f195e48d4b577fd0d5e73b17/LN.Learning.Hands-On.Data.Annotation-Applied.Machine.Learning.part1.rar.html
rapidgator.net/file/9e0f9393c61642ece0a2aaf498e9fa66/LN.Learning.Hands-On.Data.Annotation-Applied.Machine.Learning.part2.rar.html

DOWNLOAD FROM TURBOBIT

trbbt.net/p0v5vfurrfxi/LN.Learning.Hands-On.Data.Annotation-Applied.Machine.Learning.part1.rar.html
trbbt.net/kkxteno3ud7u/LN.Learning.Hands-On.Data.Annotation-Applied.Machine.Learning.part2.rar.html

If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.