Post pandemic healthcare industry sees a new revolution with new tools, techniques along with metaverse , IoT devices and digital twins
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datascience
June 20, 2021
Building Sustainable AI/ML Solutions in the Cloud
When compared to centralized training and cooling mechanisms adopted at data centers , how can Federated Learning help us to achieve greener environments and control CO2e emissions
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 […]
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
SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN Introduction In continuation to my previous blogs, “Traditional vs Deep Learning in Retail Industry” and “Deep Learning Vs Deep Reinforcement Learning Algorithms in Retail Industry” this blog highlights on different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows: Overview of introduction of blockchain and its predominant in retail industry. Different traditional algorithms(SecureSVM, Bagging, Boosting,Random Forest, Clustering-K-Means, Agglomerative) vs deep learning algorithms […]
