An introduction to AI Agents and its application in business use cases
06-Sept-2025 AI Agents
This blog includes what are AI agents, key characteristics, Architecture and how to apply AI agents in business use cases.
An introduction to Retrieval Augmented Generation (RAG) using LLM
06-Sept-2025 RAG LLM
This blog includes What is RAG, why it is important, how it works and different RAG architecture.
An introduction to knowledge Graph and its application areas
06-Sept-2025 Knowledge Graph
This blog includes What is knowledge graph, why it is important, its architecture and key application areas.
An introduction to digital image processing and Computer Vision
06-Sept-2025 Computer vision
This blog includes What is digital image processing and the different steps and techniques involved in it. How it is used in computer vision tasks like image recognition.
An introduction to Deep learning architecture
06-Sept-2025 Deep Learning
This blog includes core concepts of neural networks, common Deep Learning architectures and how they work. Advantages of Neural networks over others.
How to deploy ML model in production for inferencing using AWS
06-Sept-2025 AWS
This blog includes the different approaches that can be used to deploy a model. For each approach what AWS service is used and its advantages is also discussed.
How to develop a Named Entity Recognition (NER) engine in Python
06-Sept-2025 NER
This blog includes what is NER and why it is important. Different techniques and machine learning architecture used to develop NER models.
Text similarity and Semantic text comparison
06-Sept-2025 NLP
This blog includes what text similarity and why it is import. Understand semantic similarity and how to implement them in real world use cases.
What is NLP and how does it work
06-Sept-2025 NLP
This blog includes the key steps and processes involved. How these processes works and finally how these are used in business use cases.
How machine learning is different from statistical modeling
06-Sept-2025 Machine Learning
This blog includes does end to end comparison of machine learning with statistical modeling based on approach, goal, assumption, data handling and explain ability.
Introduction to Inferential statistics and its use in data analytics
06-Sept-2025 Statstical Analysis
This blog explains the key concepts of inferential statistics and how it is used to draw conclusions, make predictions and generalize findings.
Introduction to Descriptive statistics and its use in data analytics
06-Sept-2025 Statstical Analysis
This blog explains the key concepts and measures of descriptive statistics. How it is used to identify trends, understand patterns, detect anomalies.
How to create a simple chatbot using Html, CSS and JavaScript
06-Sept-2025 Web Development
This blog explains how to create a working chatbot using HTML, CSS, JavaScript and LLM. For LLM OpenAI API Key will be used.
Python programming hacks: Recursive function
06-Sept-2025 Python
This blog explains how to create recursive programming in python with a very easy to understand business use case.
Different data structures in R
06-Sept-2025 R Programming
This blog explains in details the different data structures present in R with easy to understand business example.
DOM manipulation examples using JavaScript
06-Sept-2025 JavaScript
This blog explains DOM structure in html page. How we can uses JavaScript to dynamically access and update these DOM elements.