Data

PluralSight – Working with Data

PluralSight – Working with Data
English | Tutorial | Size: 407.84 MB


This course introduces key concepts to proficiently work with data – data cleaning, preprocessing, manipulation, transformation, and core concepts of data visualization and interpretation. You’ll also work through examples with a provided dataset.

LinkedIn Learning – Data Labeling for Machine Learning

LinkedIn Learning – Data Labeling for Machine Learning
English | Tutorial | Size: 270.49 MB


Almost 2.5 quintillion bytes of data are produced every day-mostly raw, unlabeled data-but supervised learning techniques for machine learning require data to be labeled in order to use it for training.