Machine learning pipelines executed within cloud infrastructure, are computationally intensive & use specialized hardware utilizing parallel processing. These systems encounter challenges in domains of cost reduction, scalability, reliability & efficiency, real-time analysis & prediction, security & privacy. Federated Learning is a decentralized, collaborative approach where machine learning models are trained…

Hierarchical clustering is a good way to segment data. It provides a tree structure to the data based on similarities. The hierarchical structure, known as a dendrogram, helps understand how closely and farther apart the clusters are in relation to each other. …

PDF or portable document format is a complex structure. Since the it is binary structure, the raw text is difficult to access and cannot be done without hampering the original file. A PDF file contains objects for every element inside, for example a font object, form object, page object, and…

Web scrapping is a process in which data is extracted from websites for various purposes like marketing, research, data analysis, comparing prices of products, tracking information, and so on. Let’s have a look at an experiment where text is scrapped off articles from a newsletter on LinkedIn. Python packages, requests…

Facial detection and recognition are commonly applied in security bio-metrics, social media, personal devices,etc. Various methods used in facial recognition include geometric, wholistic, appearance based, statistical or neural network based. Typically a face detection system captures an image, detects face, normalizes it, extracts & matches the feature vectors to identify…

Chatbots are almost everywhere, most of us have interacted with at least one chatbot by now through voice/text conversations. People with access to advanced technology might have even interacted with a well-trained life size robot. Two of the most commonly known and used chatbots are SIRI and Alexa. A typical…

Time series analysis can be implemented in multiple ways including linear models in machine learning, recurrent neural networks, long-short term memory networks and convolutional neural networks. This article is about implementing time series forecasting using convolutional neural networks or CNNs. ConvNets are known for image processing and classification. They are…

Long Short-Term Memory networks or LSTMs are a type of Recurrent Neural Networks that reuse the output of a previous step as an input for the next. They are useful making predictions based on sequences. In writing, for example, the context in which sentences are written is formed based on…

Customer churn is essential in business as getting new customers requires more efforts and investment. This business logic is also applicable for retaining other business stake holders like employees, suppliers, investors etc. Whether it is getting new clients, hiring new employees, sourcing new suppliers or getting new investors, they all…