How to build an MLOps pipeline?
MLOps is the set of practices and methods designed to efficiently manage the lifecycle of machine learning models in a production environment.
Data analysis: Its importance, types, process, workflow and tools
Data analysis is the process of analyzing, cleaning, transforming, and modeling data to uncover useful information and draw conclusions from it to support decision making.
AutoML: Components, techniques, working, tools, platforms and use cases
Automated Machine Learning (AutoML) is an innovation that has reshaped the landscape of machine learning, democratizing its potential by automating the intricate, labor-intensive, and expertise-requiring processes involved.
Neural networks: Architecture, applications, case studies, development and implementation
Neural networks, referred to as artificial neural networks (ANNs), are computational models that mimic the structure and operations of the human brain.
Prompt engineering: The process, uses, techniques, applications and best practices
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs.
How to streamline document workflow with the power of Intelligent Document Processing?
IDP is an AI-powered document processing technique that not just scans and captures structured, unstructured and semi-structured data, but also understands it deeply.
