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LSTM, Transfer, Federated Learning, Reinforcement, and Deep Reinforcement Learning Introduction In continuation to my previous blog, which discussed on the different use-cases of machine learning algorithms in retail industry, this blog highlights some of the recent advanced technological concepts like role of IoT, Federated learning and Reinforcement learning in the context of retail industry. This blog is structured as follows: The use of IoT in retail domain and how different ML algorithms and feature extraction strategies […]
Motivation — The Importance of Analytics in Retail Retail industry faces a difficult situations as retailers would like to understand the products that are very similar to each other in order to evaluate which product is better off not promoting from the similar products in the same week to increase sales activity and profit margins. Retailers need to consider various aspects of individual store management in geographically distributed areas to allow continuous flow of inventory at […]
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 […]
