LinkedIn developed Feathr to help manage and distribute features used in its machine learning technologies. According to LinkedIn, the feature store is presently being used to track hundreds of features used by the social media giant. LinkedIn released the code of the feature store under an Apache 2.0 license in

We are here today to discuss every detail of machine learning in marketing. When you heard the phrase “artificial intelligence” a few decades ago, the first images that undoubtedly came to mind were robots destroying humankind. These days, this phrase is often associated with good things. Almost everyone comes into

Meta shifts PyTorch to the Linux Foundation. Facebook parent company Meta is moving its open source machine learning framework to an external governance model under the control of a new independent board and the supervision of the Linux Foundation. The change will increase the code’s independence from Meta and offer

What is a machine learning engineer? An ML engineer is a professional in the field of information technology who specializes in developing self-contained artificial intelligence (AI) systems that automate the usage of prediction models. The AI algorithms capable of learning and making predictions are designed and built by machine learning

The machine learning process flow determines which steps are included in a machine learning project. Data gathering, pre-processing, constructing datasets, model training and improvement, evaluation, and deployment to production are examples of typical steps. Some steps in the machine learning process flow, such as the model and feature selection phases,

Active learning (AL) is a key technique for most supervised machine learning models because they need a lot of data to be trained in order to operate properly. Most businesses have trouble giving data scientists access to this data, specially tagged data. The latter is essential for any supervised model