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Dev Patel

I explore the world of AI/ML and publish what I learn.

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Ahmedabad

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What is PCA? A Simplified Explanation

What is PCA? A Simplified Explanation

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3 min read

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Understanding the Core Concepts: From Data Mountains to Informative Peaks

Understanding the Core Concepts: From Data Mountains to Informative Peaks

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Unveiling the Secrets of Data Grouping: A Deep Dive into Hierarchical Clustering and DBSCAN

Unveiling the Secrets of Data Grouping: A Deep Dive into Hierarchical Clustering and DBSCAN

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What is K-Means Clustering?

What is K-Means Clustering?

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What are Ensemble Methods and Boosting?

What are Ensemble Methods and Boosting?

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4 min read
What are Ensemble Methods, Bagging, and Random Forests?

What are Ensemble Methods, Bagging, and Random Forests?

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3 min read
Understanding Information Gain: Choosing the Right Questions

Understanding Information Gain: Choosing the Right Questions

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Understanding Decision Trees

Understanding Decision Trees

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The Core Idea: Finding the Best Separator

The Core Idea: Finding the Best Separator

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Unlocking the Power of Support Vector Machines: Hyperplanes and Margin Maximization

Unlocking the Power of Support Vector Machines: Hyperplanes and Margin Maximization

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Understanding the KNN Algorithm: Finding Your Nearest Neighbors

Understanding the KNN Algorithm: Finding Your Nearest Neighbors

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Decoding the Magic: Logistic Regression, Cross-Entropy, and Optimization

Decoding the Magic: Logistic Regression, Cross-Entropy, and Optimization

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4 min read
Diving Deep into Logistic Regression: Sigmoid, Probabilities, and Predictive Power

Diving Deep into Logistic Regression: Sigmoid, Probabilities, and Predictive Power

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4 min read
Taming the Wild Beast: Understanding Ridge and Lasso Regression

Taming the Wild Beast: Understanding Ridge and Lasso Regression

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3 min read
Diving Deep: The Mechanics of Multiple Linear Regression

Diving Deep: The Mechanics of Multiple Linear Regression

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What is Simple Linear Regression?

What is Simple Linear Regression?

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What is Machine Learning?

What is Machine Learning?

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Unveiling the Secrets of Data: Confidence Intervals and Hypothesis Testing in Machine Learning

Unveiling the Secrets of Data: Confidence Intervals and Hypothesis Testing in Machine Learning

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Unveiling the Secrets of Your Data: A Deep Dive into Descriptive Statistics

Unveiling the Secrets of Your Data: A Deep Dive into Descriptive Statistics

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What are Probability Distributions?

What are Probability Distributions?

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What is Bayes' Theorem?

What is Bayes' Theorem?

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What is Conditional Probability?

What is Conditional Probability?

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Gradient Descent Optimization: The Core Algorithm Explained

Gradient Descent Optimization: The Core Algorithm Explained

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4 min read
Unveiling the Secrets of Multivariable Calculus: Partial Derivatives, Chain Rule, and Machine Learning

Unveiling the Secrets of Multivariable Calculus: Partial Derivatives, Chain Rule, and Machine Learning

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Understanding Derivatives: The Slope of Change

Understanding Derivatives: The Slope of Change

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Eigenvalues and Eigenvectors: Unveiling the Secrets of Data Transformation in Machine Learning

Eigenvalues and Eigenvectors: Unveiling the Secrets of Data Transformation in Machine Learning

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Understanding the Basics: Linear Equations and Matrices

Understanding the Basics: Linear Equations and Matrices

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🚀 Unlocking Accuracy: Using Transfer Learning with Fine-Tuning for Image Classification

🚀 Unlocking Accuracy: Using Transfer Learning with Fine-Tuning for Image Classification

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What are Matrix Operations?

What are Matrix Operations?

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What are Vectors and Matrices?

What are Vectors and Matrices?

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The Moral Compass of Machines: Ethical AI & Responsible Development

The Moral Compass of Machines: Ethical AI & Responsible Development

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From Shipping Containers to Software: Understanding Docker and Kubernetes

From Shipping Containers to Software: Understanding Docker and Kubernetes

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The Cloud: Powering the Next Generation of Artificial Intelligence

The Cloud: Powering the Next Generation of Artificial Intelligence

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Building ML Pipelines: Streamlining the Path to Intelligent Applications

Building ML Pipelines: Streamlining the Path to Intelligent Applications

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Keeping Your AI in Check: The Importance of Model Monitoring and Versioning

Keeping Your AI in Check: The Importance of Model Monitoring and Versioning

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From Lab to Life: Understanding Model Deployment in the Age of AI

From Lab to Life: Understanding Model Deployment in the Age of AI

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MLOps: Bridging the Gap Between Machine Learning Models and Real-World Applications

MLOps: Bridging the Gap Between Machine Learning Models and Real-World Applications

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Beyond Chatbots: Exploring the World of Advanced LLM Applications

Beyond Chatbots: Exploring the World of Advanced LLM Applications

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The Rise of the Machines That Think (Sort Of): Understanding Large Language Models

The Rise of the Machines That Think (Sort Of): Understanding Large Language Models

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From Words to Worlds: Understanding Generative AI's Text-to-Image Revolution

From Words to Worlds: Understanding Generative AI's Text-to-Image Revolution

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Seeing Like a Machine: Understanding Computer Vision Fundamentals and Applications

Seeing Like a Machine: Understanding Computer Vision Fundamentals and Applications

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Unlocking the Power of Words: Key Applications of Natural Language Processing

Unlocking the Power of Words: Key Applications of Natural Language Processing

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Decoding the Human Language: An Introduction to Natural Language Processing (NLP) Fundamentals

Decoding the Human Language: An Introduction to Natural Language Processing (NLP) Fundamentals

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Unveiling the Magic of Variational Autoencoders: Learning to Generate from Data

Unveiling the Magic of Variational Autoencoders: Learning to Generate from Data

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The Art of Deception: Understanding Generative Adversarial Networks (GANs)

The Art of Deception: Understanding Generative Adversarial Networks (GANs)

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Transfer Learning & Fine-Tuning: Leveraging Pre-trained Knowledge for Smarter AI

Transfer Learning & Fine-Tuning: Leveraging Pre-trained Knowledge for Smarter AI

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Deep Learning Frameworks: The Building Blocks of Artificial Intelligence's Future

Deep Learning Frameworks: The Building Blocks of Artificial Intelligence's Future

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Decoding the Magic: Transformers and the Attention Mechanism

Decoding the Magic: Transformers and the Attention Mechanism

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Unlocking the Power of Memory: LSTMs and GRUs in the Age of AI

Unlocking the Power of Memory: LSTMs and GRUs in the Age of AI

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Unfolding the Future: Understanding Recurrent Neural Networks

Unfolding the Future: Understanding Recurrent Neural Networks

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Seeing Like a Machine: Understanding Convolutional Neural Networks (CNNs)

Seeing Like a Machine: Understanding Convolutional Neural Networks (CNNs)

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Unveiling the Power of Simple Networks: Understanding Feedforward Neural Networks

Unveiling the Power of Simple Networks: Understanding Feedforward Neural Networks

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Unveiling the Magic Behind Machine Learning: Understanding Backpropagation

Unveiling the Magic Behind Machine Learning: Understanding Backpropagation

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Finding the Best Fit: Understanding Loss Functions and Optimization

Finding the Best Fit: Understanding Loss Functions and Optimization

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Decoding the Brain: An Introduction to Neural Networks

Decoding the Brain: An Introduction to Neural Networks

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Building a Better Predictor: Understanding Model Evaluation and Improvement

Building a Better Predictor: Understanding Model Evaluation and Improvement

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Navigating the High-Dimensional Jungle: An Introduction to Unsupervised Dimensionality Reduction

Navigating the High-Dimensional Jungle: An Introduction to Unsupervised Dimensionality Reduction

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4 min read
Unsupervised Learning: Unveiling Hidden Patterns Through Clustering

Unsupervised Learning: Unveiling Hidden Patterns Through Clustering

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Sorting the Mail: An Introduction to Supervised Learning: Classification

Sorting the Mail: An Introduction to Supervised Learning: Classification

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Predicting the Future: An Introduction to Supervised Learning: Regression

Predicting the Future: An Introduction to Supervised Learning: Regression

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