Machine learning proved efficientdoi:10.1038/s43588-022-00344-8Jie PanNature Computational ScienceNature Publishing Group USNature Computational Science
Why is machine learning time efficient?Machine Learning:Machine learning entails a technique employed in various entities where electronic devices do not require human coordination in their performance. However, such techniques seek to facilitate businesses with multiple benefits....
Data quality: The adage “garbage in, garbage out” applies to machine learning—the quality of data is critical, during both the training phase and in production. High-quality data can lead to more accurate results delivered in a timely, efficient manner; low-quality data can create inaccurac...
Efficiency and Automating Tasks: Machine learning is at the root of many of the technologies that make workers more efficient. Many low-cognition, repetitive tasks—including spell-checking as well as document digitization and classification—are now done by computers, thanks to machine learning. ...
Just about any discrete task that can be undertaken with a data-defined pattern or with a set of rules can be automated and therefore made far more efficient using machine learning. This allows companies to transform processes only possible previously by humans, including routing of customer servic...
Learn what is machine learning, how it differs from AI and deep learning, types of machine learning, ML uses, and how machine learning works. Read On!
π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing Peptide sequencing is critical to the advancement of proteomics research. Here, the authors presentπ-PrimeNovo, a non-autoregressive deep learning model that achieves high accuracy and up to...
It is an efficient solution to facilitate the deployment of scalable healthcare digital technologies. The existing works have limitations regarding using machine learning as an approach to security and privacy. Since machine learning is concerned with creating programs and models that can educate ...
New machine learning techniques are not needed for most metals AM development; those used in other sects of materials science will also work for AM. Most prolifically, the density functional theory (DFT) community has used many of them since the early 2000s for evaluating numerous combinations ...
What are the types of machine learning? The three main types of machine learning are supervised, unsupervised and semi-supervised learning. What are examples of machine learning? Examples of machine learning include pattern recognition, image recognition, linear regression and cluster analysis. ...