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

A machine learning approach developed by researchers at MIT’s Koch Institute and Massachusetts General Hospital (MGH) may aid in cancer diagnosis of the unknown primary by examining gene expression programs associated with early cell development and differentiation. The scientists focused the model on indicators of disrupted developmental pathways in cancer cells to

Nowadays, everyone wondering about how they can leverage machine learning in retail. So, you are not the only one. It should be no surprise that artificial intelligence (AI) and machine learning (ML) considerably impact the retail industry, especially for businesses that rely on online sales, where AI technology is already

Over the past two years, the open-source Ray framework, which is used by companies like OpenAI, Shopify, and Instacart, has emerged as one of the most widely used methods for enterprises to scale and manage huge and intricate artificial intelligence (AI) workloads. After going through multiple iterations over the preceding

For the first time ever, a team of researchers from Columbia Engineering has developed a robot that can learn its self-model of its entire body from scratch without the aid of a human. The researchers detail how their robot built a kinematic model of itself and utilized that model to

What is an epoch in machine learning? An epoch in machine learning refers to one full pass of the training dataset through the algorithm whenever you wish to train a model with some data. As a result, it is a learning algorithm hyperparameter. With the rise of the digital age,