MACHINE LEARNING IN ACTION As machine learning tools become a bigger part of electronic content management, DOMA is committed to finding the best ways to employ them in our solutions. Currently, there are many applications for machine learning in analyzing an organizing data. Below you will find ...
Data scientists have their own weapons — machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts.And that's why we ...
Machine Learning Playground allows you to experiment with neural network models. The application ships with four read-only datasets. Some datasets are designed for regression analysis while others are suited for classification. The models themselves will consist of three layers: inputs, hidden and outp...
Machine Learning Model Picker Deciding on a machine learning model for a project can be onerous task. To ease with that process, I created an interactive flowchart to walk you through the process. Each step has aids to explain the process, to help stakeholders who don’t live and breathe da...
原文地址:http://www.demnag.com/b/java-machine-learning-tools-libraries-cm570/?ref=dzone This is a list of 25 Java Machine learning tools & libraries. Wekahas a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca...
Technology related to incremental training of machine learning tools is disclosed. In one example of the disclosed technology, a method can include receiving operational parameters of a machine learning tool based on a primary set of training data. The machine learning tool can be a deep neural ...
Machine learning technologies have become mainstream tools, building on the compute capabilities of cloud services and the API-based service development model. We examine what the leading players have to offer.
Later on, you can always revisit it by just Googling "learn the basics" and then continue on to the next fun step: learning about the ML developer stack. Now you know the basics of Python, and if you haven't already, learn some basic tools like Jupyter notebooks and libraries like Pand...
really clear why a particular model made its predictions. “Our model is saying it takes a processor, say, 10 cycles to execute a basic block. Now, we’re trying to figure out why,” Carbin says. “That’s a fine level of granularity that would be amazing for these types of tools....
有多種方法可以在您的應用程式中使用 Windows Machine Learning。 在核心上,您只需要幾個簡單的步驟。 取得定型的開放式類神經網路交換 (ONNX) 模型,或使用ONNXMLTools將其他 ML 架構中定型的模型轉換成 ONNX。 將ONNX 模型檔案新增至您的應用程式,或在目標裝置上以其他方式提供它。