Protected: veda-upnishad and upveda
There is no excerpt because this is a protected post.
Category «Machine Learning»
Ai frameworks
Framework / Tool Description LangChain Popular framework to build LLM-powered agents using chains, memory, tools. LangGraph Graph-based agentic extension of LangChain for managing agent workflows. Auto-GPT Autonomous agent built on top of GPT models that can plan and execute goals. BabyAGI Lightweight, task-based autonomous agent that loops tasks with memory. CrewAI Multi-agent framework where different …
Protected: Data Engineering Path
There is no excerpt because this is a protected post.
Recommendation System
Humans need recommendation since childhood, he needs to know what is good for him, like where and how he spends his holidays, which food is good for him, what subjects are best for him, what are best colleges, etc.. In terms of implementation we can divide it into two categories: Memory-based: Use Statistical tool like …
Clustering
There are billions of stars in the galaxy and we are in the way of finding new constellations but how can we find them as there are no labels, well clustering is the solution. In order to solve unsupervised problems in machine learning, we use clustering algorithms. We can classify clustering as : Partitioned-based clustering …
PCA Principal Component Analysis
Principal component analysis (PCA) is used as a dimensionality reduction technique. When we have a lot of dimension in data it’s difficult to find the dimensions which are responsible for the results. Let us consider a scenario in which you have an army of 10,000 soldiers. How can we determine that the army will win …