Post pandemic healthcare industry sees a new revolution with new tools, techniques along with metaverse , IoT devices and digital twins
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machinelearning
Multi-output Machine Learning — MixedRandomForest Introduction Multi-output learning subsumes many learning problems in multiple disciplines and deals with complex decision-making in many real-world applications. It has a multivariate nature and the multiple outputs may have complex interactions, architected to be handled by structured inference. The output values have diverse data types, depending on the type of ML problem. For example, 0/1 based Binary output values can refer to multi-label classification problem. Nominal output values to […]
As Fairness and Ethical AI has become an essential part while designing algorithms, let’s explore some of the open source tools and algorithms available
October 5, 2020
Importance of Service Mesh Networks for Scaling Enterprise AI
Enterprise AI has a host of micro-services which does algorithm pre-processing, training and post-processing. Along with Kubernetes which helps in service deployment and auto-scaling, explore how important Istio is and its predominant role
Feature Extraction by Distributed and Parallel means for industrial big data applications Motivation — Why Feature extraction is necessary? Feature extraction remains one of the most preliminary steps in machine learning algorithms to identify strong and weak relevant attributes. While many feature extraction algorithms are used during Feature Engineering for standard classification and regression problems, the problem turns increasing difficult for time series classification and regression problems where each label or regression target is associated […]
