All Blog Articles

A step-by-step series on machine learning fundamentals.

15 articles

• From Zero to Hero Part 1: A Short History of Machine Learning

  How machine learning got from early neural network models and checkers programs to today's deep learning systems.

  Tags: Machine Learning, History, AI Fundamentals, Beginner Guide, Series Part 1

  Published: 2024-11-18

• From Zero to Hero Part 2: What is Machine Learning?

  How machine learning differs from traditional programming, and why that shift in thinking matters.

  Tags: Machine Learning, Programming, AI Fundamentals, Beginner Guide, Series Part 2

  Published: 2024-12-02

• From Zero to Hero Part 3: Understanding Regression vs Classification

  Predicting numbers versus predicting categories: the two core problems behind most machine learning applications.

  Tags: Machine Learning, Regression, Classification, Fundamentals, Series Part 3

  Published: 2024-12-11

• From Zero to Hero Part 4: The Four Machine Learning Paradigms

  Supervised, unsupervised, semi-supervised and reinforcement learning: the four basic approaches behind most machine learning systems.

  Tags: Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Series Part 4

  Published: 2024-12-19

• From Zero to Hero Part 5: Introduction to Clustering

  How algorithms group similar data points without labels, and where that helps, from customer behavior to gene sequences.

  Tags: Machine Learning, Clustering, Unsupervised Learning, Data Analysis, Series Part 5

  Published: 2024-12-26

• From Zero to Hero Part 6: Centroid-Based Clustering

  How K-means and related algorithms find groups around central points, and when this approach works well.

  Tags: Machine Learning, K-Means, Centroid Clustering, Customer Segmentation, Series Part 6

  Published: 2025-01-02

• From Zero to Hero Part 7: Gaussian Mixture Models

  How probabilistic clustering lets a data point belong to several groups at once, which handles overlapping and irregular clusters.

  Tags: Machine Learning, Gaussian Mixture Models, Probabilistic Clustering, EM Algorithm, Series Part 7

  Published: 2025-01-09

• From Zero to Hero Part 8: Hierarchical Clustering

  Building trees of clusters within clusters to see how data is organized at several scales, from single points to broad categories.

  Tags: Machine Learning, Hierarchical Clustering, Dendrograms, Multi-scale Analysis, Series Part 8

  Published: 2025-01-15

• From Zero to Hero Part 9: Density-Based Clustering

  How DBSCAN and related algorithms find clusters of any shape by looking for dense regions, and flag outliers along the way.

  Tags: Machine Learning, DBSCAN, Density-Based Clustering, Outlier Detection, Series Part 9

  Published: 2025-01-22

• From Zero to Hero Part 10: Introduction to Regression

  An introduction to regression analysis, the basis of predictive modeling in everything from business forecasting to scientific research.

  Tags: Machine Learning, Regression, Predictive Modeling, Supervised Learning, Series Part 10

  Published: 2025-01-29

• From Zero to Hero Part 11: Linear and Nonlinear Regression

  The difference between linear and nonlinear relationships, and when each approach gives better predictions.

  Tags: Machine Learning, Linear Regression, Nonlinear Regression, Polynomial Models, Series Part 11

  Published: 2025-02-05

• From Zero to Hero Part 12: Logistic Regression

  How predicting probabilities connects regression and classification, and turns a regression technique into a classifier.

  Tags: Machine Learning, Logistic Regression, Classification, Probability Models, Series Part 12

  Published: 2025-02-12

• From Zero to Hero Part 13: Quantile Regression

  Predicting more than the average: modeling whole distributions to understand risk ranges and extreme outcomes.

  Tags: Machine Learning, Quantile Regression, Risk Analysis, Distribution Modeling, Series Part 13

  Published: 2025-02-19

• From Zero to Hero Part 14: Regularization in Regression Analysis

  Ridge, Lasso and Elastic Net: how regularization keeps models from overfitting and helps them generalize.

  Tags: Machine Learning, Regularization, Ridge Regression, Lasso Regression, Elastic Net, Series Part 14

  Published: 2025-02-26

• From Zero to Hero Part 15: Reinforcement Learning

  The last part of the series: how algorithms learn behavior through trial and error, with examples from games, robotics and decision-making.

  Tags: Machine Learning, Reinforcement Learning, AI, Decision Making, Series Part 15

  Published: 2025-03-05

← Back to AI Solutions Camp