Strategies to reduce data bias in machine learning. Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics ...

This can happen even when the sparse data might be more predictive. Best machine learning model for sparse data. To help combat these issues that arise with sparse data machine learning, there are a ...

Aside from the obvious efficiency benefits that AI and machine learning present, there are a number of other advantages to be realized. Data-driven decision making offers the ability to validate a ...

How to choose a data analytics and machine learning platform. Identify business use cases for analytics; Review big data complexities; Capture end-user responsibilities and skills ...

Unstructured data — information that doesn’t follow conventional models or fit into structured database formats — represents more than 80% of all new enterprise data.

Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can ...

Data poisoning is a type of adversarial ML attack that maliciously tampers with datasets to mislead or confuse the model. The goal is to make it respond inaccurately or behave in unintended ways.

Instead, researchers can use the unlabeled data as a warm-up for the machine-learning algorithm. This warm-up, or pretraining , primes the algorithm to find a relationship between the bio-signal ...

Udacity is an online learning platform that offers courses in data science, machine learning and other related fields. The platform offers both free and paid courses, and many of the courses are ...