Pronod Bharatiya's Blog
Understanding AI Agents and Agentic AI: A Comprehensive Guide

Understanding AI Agents and Agentic AI: A Comprehensive Guide

Understand the core features, current applications, and future predictions of AI agents and agentic AI

Pronod Bharatiya
Pronod Bharatiya
36 min read

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8 views
Understanding IID: The Backbone of Machine Learning and Deep Learning Algorithms

Understanding IID: The Backbone of Machine Learning and Deep Learning Algorithms

Pronod Bharatiya
Pronod Bharatiya
18 min read

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7 views
IID vs. Non-IID Data: Choosing the Right Machine Learning and Deep Learning Algorithms

IID vs. Non-IID Data: Choosing the Right Machine Learning and Deep Learning Algorithms

Pronod Bharatiya
Pronod Bharatiya
14 min read

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16 views
Discrete and Continuous Models in Machine Learning: Understanding CDF as a Bridge

Discrete and Continuous Models in Machine Learning: Understanding CDF as a Bridge

Pronod Bharatiya
8 min read

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67 views
Set Up a Working Directory in a Containerized MicroK8s Environment with Canonical Data Science Stack and GitHub Integration

Set Up a Working Directory in a Containerized MicroK8s Environment with Canonical Data Science Stack and GitHub Integration

Pronod Bharatiya
9 min read

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30 views
Monitoring AI at Scale: A Comprehensive and Layered Approach

Monitoring AI at Scale: A Comprehensive and Layered Approach

Pronod Bharatiya
11 min read

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37 views
Optimize Your AI Workflow: Leveraging Data Science Stack, MicroK8s, MLflow, and JupyterHub for Effective ML Environment

Optimize Your AI Workflow: Leveraging Data Science Stack, MicroK8s, MLflow, and JupyterHub for Effective ML Environment

Pronod Bharatiya
15 min read

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29 views
A Complete Guide to Canonical's Data Science Stack: JupyterHub, MicroK8s, MLflow, and Kubeflow

A Complete Guide to Canonical's Data Science Stack: JupyterHub, MicroK8s, MLflow, and Kubeflow

Pronod Bharatiya
10 min read

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43 views
Leveraging Graph Neural Networks on the CORA Dataset: Tackling Non-IID and Non-Euclidean Data with Graph Theory

Leveraging Graph Neural Networks on the CORA Dataset: Tackling Non-IID and Non-Euclidean Data with Graph Theory

Pronod Bharatiya
10 min read

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219 views
Graph Theory Algorithms and Neural Networks: An In-Depth Exploration

Graph Theory Algorithms and Neural Networks: An In-Depth Exploration

Pronod Bharatiya
10 min read

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302 views
Setting Up a Complete Machine Learning Pipeline on a Linux Tablet: A Guide to the Data Science Stack

Setting Up a Complete Machine Learning Pipeline on a Linux Tablet: A Guide to the Data Science Stack

Pronod Bharatiya
8 min read

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54 views
Understanding High Dimensionality and the Prevalence of Saddle Points in Deep Learning

Understanding High Dimensionality and the Prevalence of Saddle Points in Deep Learning

Pronod Bharatiya
10 min read

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67 views