ML Concepts: Math to Algorithms Series' Articles

Dev Patel

Jul 15 '25

What are Vectors and Matrices?

#machinelearning #python #datascience #ai

1

3 min read

Dev Patel

Jul 16 '25

What are Matrix Operations?

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3 min read

Dev Patel

Jul 17 '25

Understanding the Basics: Linear Equations and Matrices

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2

4 min read

Dev Patel

Jul 18 '25

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

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3 min read

Dev Patel

Jul 19 '25

Understanding Derivatives: The Slope of Change

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1

4 min read

Dev Patel

Jul 20 '25

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

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3 min read

Dev Patel

Jul 21 '25

Gradient Descent Optimization: The Core Algorithm Explained

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4 min read

Dev Patel

Jul 22 '25

What is Conditional Probability?

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1

3 min read

Dev Patel

Jul 23 '25

What is Bayes' Theorem?

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4 min read

Dev Patel

Jul 24 '25

What are Probability Distributions?

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1

4 min read

Dev Patel

Jul 25 '25

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

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3 min read

Dev Patel

Jul 26 '25

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

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3 min read

Dev Patel

Jul 27 '25

What is Machine Learning?

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4 min read

Dev Patel

Jul 28 '25

What is Simple Linear Regression?

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3 min read

Dev Patel

Jul 29 '25

Diving Deep: The Mechanics of Multiple Linear Regression

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2

4 min read

Dev Patel

Jul 30 '25

Taming the Wild Beast: Understanding Ridge and Lasso Regression

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3 min read

Dev Patel

Jul 31 '25

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

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4 min read

Dev Patel

Aug 1 '25

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

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4 min read

Dev Patel

Aug 2 '25

Understanding the KNN Algorithm: Finding Your Nearest Neighbors

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3 min read

Dev Patel

Aug 3 '25

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

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3 min read

Dev Patel

Aug 4 '25

The Core Idea: Finding the Best Separator

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1

3 min read

Dev Patel

Aug 5 '25

Understanding Decision Trees

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3 min read

Dev Patel

Aug 6 '25

Understanding Information Gain: Choosing the Right Questions

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1

3 min read

Dev Patel

Aug 8 '25

What are Ensemble Methods, Bagging, and Random Forests?

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1

3 min read

Dev Patel

Aug 9 '25

What are Ensemble Methods and Boosting?

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1

4 min read

Dev Patel

Aug 10 '25

What is K-Means Clustering?

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1

3 min read

Dev Patel

Aug 11 '25

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

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1

3 min read

Dev Patel

Aug 12 '25

Understanding the Core Concepts: From Data Mountains to Informative Peaks

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1

3 min read

Dev Patel

Aug 13 '25

What is PCA? A Simplified Explanation

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3 min read

Dev Patel

Aug 14 '25

Decoding the Metrics: Understanding Model Evaluation in Regression

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1

3 min read