. Now, you have a machine learning model that can discern whether an image contains a polar bear, and you have a URL and API key to invoke the model. The next step is to invoke the model each time an image is uploaded to Blob Storage. Azure Functions is the perfect tool fo...
DPFunc, a deep-learning-based tool, uses protein domain information to accurately predict protein functions and detect corresponding regions in protein structures. DPFunc serves as an effective tool for large-scale protein function prediction.
While deep learning has achieved good results in many hydraulic factor prediction processes, its lack of interpretability hinders our understanding of the internal working mechanisms of hydraulic processes. This situation can be improved through interpretable models, such as RF, which can provide clear ...
You might be tempted to jump into some of the newest, cutting edge sub-fields in machine learning such as deep learning or NLP. Try to stay focused on the core concepts at the start. These advanced topics will be much easier to understand once you've mastered the core skills. 3. Altern...
There are many types of machine learning models. One of the most common is the regression model, which uses one of a number of regression algorithms to produce a numeric value — for example, a person's age or the probability that a credit-card transaction is fraudulent. You'll train a ...
A unified evolution-driven deep learning framework is presented, which outperforms state-of-the-art methods across various virus mutational driver predictions, and which captures fundamental patterns of virus evolution. Zhiwei Nie Xudong Liu Yonghong Tian ...
When it comes to the collection of large data for meaningful knowledge, many humans will be needed to identify the sensitive features. Which will ultimately enhance the cost of labor. However, with the development of machine learning (ML), a number of methods have been made available that can...
The relationship between AI and deep learning The field of AI is broad and has been around for a long time. Deep learning is a subset of the field of machine learning, which is a subfield of AI. Let’s now take a quick look at another of the roots of deep learning: how neural ...
Few-shot learning (FSL) is one of the key future steps in machine learning and raises a lot of attention. In this paper, we focus on the FSL problem of dia
In this study, we investigate how an organism’s codon usage bias can serve as a predictor and classifier of various genomic and evolutionary traits across the domains of life. We perform secondary analysis of existing genetic datasets to build several A