As such, there are many different types of learning that you may encounter as a practitioner in the field of machine learning: from whole fields of study to specific techniques. In this post, you will discover a gentle introduction to the different types of learning that you may encounter in...
Inpredictive analytics, a machine learning algorithm is typically part of a predictive modeling that uses previous insights and observations to predict the probability of future events. Logistic regressions are also supervised algorithms that focus on binary classifications as outcomes, such as "yes" or...
Machine learning is a field of artificial intelligence that allows systems to learn and improve from experience without being explicitly programmed. It has become an increasingly popular topic in recent years due to the many practical applications it has in a variety of industries. In this blog, w...
Incrementally learning new information from a non-stationary stream of data, referred to as ‘continual learning’, is a key feature of natural intelligence, but a challenging problem for deep neural networks. In recent years, numerous deep learning meth
In machine learning, classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. Examples of classification problems include: Given an example, classify if it is spam or not. Given a handwritten character, classify it as one of the...
However, in clinical practice of genetic diagnosis using WES, different types of mutations and mechanisms should be considered simultaneously to identify the pathogenic mutation. With the development of machine learning (ML) and deep learning (DL), many computational methods using ML or DL have been...
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In recent years, there has been an increasing interest in utilizing deep learning-based techniques to predict solutions to various partial differential equations. In this study, we investigate the identification of an unknown flux function and diffusion coefficient in a one-dimensional convection-diffusio...
developed in the mid-1960s, mini computers are comparatively smaller than mainframe computers. they were developed keeping in consideration human interaction, control instrumentation and were cost-effective. for example smartphones, ipads, etc. mainframe computer – computers used by large organisations ...