Agile Scrum Framework: Sprints, Artifacts and Events
Ever wondered how some of the world’s top companies like Google, Spotify, and Amazon manage to stay on top of their game? The secret lies...
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Achshah R M
- Jul 23
- 4 min
Kanban for Agile Project Management
Imagine you're running a busy kitchen in a popular restaurant. Orders come in fast, and you need to ensure that meals are prepared and...
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Achshah R M
- Jul 22
- 5 min
Why Agile is the Future of Software Development: Characteristics, Principles, and Values
In a world where technology evolves at lightning speed, sticking to rigid plans can be a recipe for disaster. Imagine being on a ship...
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Achshah R M
- Jul 19
- 4 min
Traditional Software Development Life Cycle Models: Waterfall, V-Shaped, and RUP
In today's fast-paced tech world, building software is like constructing a skyscraper. It requires a solid foundation, careful planning,...
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Achshah R M
- Jul 19
- 3 min
Avoiding Failure in Software Projects Using Project Management Models and Requirements Engineering
Ever wondered why some software projects soar to success while others crash and burn? Picture this: you’re on a thrilling adventure to...
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Achshah R M
- Jul 19
- 4 min
Exploring the Parallels Between Brain and Artificial Neural Networks
Have you ever wondered how our brains work? How does a tiny, seemingly insignificant cell called a neuron enable us to think, learn, and...
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Achshah R M
- Jun 15
- 4 min
Understanding Syntax and Semantics in NLP
Imagine a world where your computer understands not just the words you type or speak but also the meaning behind them. Thanks to Natural...
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Achshah R M
- Jun 13
- 3 min
The Rhythm of Speech: How Prosody Enhances NLP
Have you ever noticed how the same sentence can sound completely different depending on how it's said? This intriguing aspect of human...
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Achshah R M
- May 27
- 2 min
The NLP Revolution: From Early Skepticism to Cutting-Edge Technology
Natural Language Processing (NLP) represents the interaction between computers and humans through natural language. The key to improving...
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Achshah R M
- May 23
- 4 min
The Critical First Step in Data Analysis: The Ask Phase
The Ask phase is the first step in the data analysis process. In this phase, we typically define the problem we are trying to solve and...
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Achshah R M
- May 17
- 3 min
Introduction to Data Analysis: Analytical Skill, Data Life Cycle and Data Analysis Process.
"Data! Data! Data!... I can’t make bricks without clay!” – Sherlock Holmes Data is everywhere, and without data, we can’t solve any...
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Achshah R M
- May 13
- 2 min
OPTIMIZING DEEP Q-NETWORKS IN REINFORCEMENT LEARNING
Deep Q-Networks (DQN) have revolutionized the field of reinforcement learning by enabling agents to make optimal decisions in complex...
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Achshah R M
- May 10
- 3 min
INTRODUCTION TO DEEP Q-NETWORKS IN REINFORCEMENT LEARNING
Reinforcement Learning (RL) has come a long way with the advent of Deep Q-Networks (DQN), a sophisticated architecture that enables...
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Achshah R M
- May 9
- 2 min
ON-POLICY AND OFF-POLICY LEARNING: SARSA AND Q-LEARNING
In previous blogs, we explored various classifications in reinforcement learning (RL) such as model-free vs. model-based and DP vs. MC...
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Achshah R M
- May 8
- 2 min
EXPLORATION-EXPLOITATION DILEMMA IN REINFORCEMENT LEARNING
When agent performs actions suggested by the current policy it is said to be in exploitation mode. When agent tries actions it would have...
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Achshah R M
- May 7
- 2 min
TEMPORAL DIFFERENCE METHOD IN REINFORCEMENT LEARNING
Temporal Difference (TD) learning stands as a middle ground between Monte Carlo (MC) and Dynamic Programming (DP) methods, effectively...
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Achshah R M
- May 6
- 2 min
DYNAMIC PROGRAMMING VS MONTE CARLO METHOD IN REINFORCEMENT LEARNING
Dynamic Programming (DP) and Monte Carlo (MC) represent two foundational methods in reinforcement learning, each with distinct approaches...
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Achshah R M
- May 3
- 2 min
UNDERSTANDING VALUE ITERATION IN REINFORCEMENT LEARNING
In my previous post, we examined policy iteration, a two-step algorithm where the first step involves policy evaluation—calculating the...
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Achshah R M
- May 1
- 3 min
UNDERSTANDING POLICY ITERATION IN REINFORCEMENT LEARNING
Policy is the strategy used by a reinforcement agent to decide which action to make in the current state. A policy takes state as input...
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Achshah R M
- Apr 30
- 2 min
UNDERSTANDING ENVIRONMENTS IN REINFORCEMENT LEARNING
In the dynamic world of Reinforcement Learning (RL), the environment encompasses everything that the agent, or decision-maker, interacts...
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