Sentence examples for machine learning point from inspiring English sources

If all of the big tech co's agree on one thing at the moment, it's that artificial intelligence and machine learning point the way forward for their businesses.

In contrast to these traditional methods, which are based on hand-engineered transformations, the problem can also be approached from a machine learning point of view if representative examples of the task are provided.

From the machine learning point of view this phenomenon is termed covariate shift and describes the fact that the training data follows a different distribution than the test data [3].

In summary, the contributions of this paper are as follows: First, it uses both kinase and kinase inhibitor descriptors at the same time to address the interaction between small heterogeneous molecules and kinases from different families from a machine learning point of view.

First, from machine learning point of view, every time the decoder successfully completes the task the association between the M1 neural states and Actor-Critic actions are reinforced by increasing the corresponding network weights.

From the machine learning point of view, it is critical since the microarray datasets usually contain a small number of experiments (called samples) and a large number of genes (called features) in each experiment.

I'm skeptical, because machine learning's starting point is typically many historical examples, which are then analyzed to discern the key attributes that distinguish one outcome from another.

In his recent book, The Master Algorithm, machine learning expert Pedro Domingos points out that already back in 1950s scientists created an algorithm that could do something that humans couldn't fully comprehend.

A recent benchmark involving physics-based scoring functions, MFP and machine learning based approaches pointed out that structural information is very informative when evaluating the quality of an alignment [14], [24].

According to an article published this week in the Harvard Business Review, machine learning has reached the point where it can have a first go at many sorts of tasks, and delegate particularly thorny ones to human employees.

Granify offers a software-as-a-service platform that uses big data and machine learning to identify the points in an e-commerce transaction where users are most likely to convert, and conversely, when they're ready to walk away from a transaction.