# Chapters

- [Actor-critic](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/actor-critic.md)
- [AdaBoost](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/adaboost.md)
- [Adadelta](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/adadelta.md)
- [Adagrad](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/adagrad.md)
- [Adam](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/adam.md)
- [Affinity Propagation](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/affinity-propagation.md)
- [Apriori](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/apriori.md)
- [Asynchronous Advantage Actor-Critic](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/asynchronous-advantage-actor-critic.md)
- [Averaged One-Dependence Estimators](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/averaged-one-dependence-estimators.md)
- [Back-Propagation](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/back-propagation.md)
- [Bayesian Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/bayesian-network.md)
- [Boosting](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/boosting.md)
- [Bootstrapped Aggregation](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/bootstrapped-aggregation.md)
- [C5.0](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/c5.0.md)
- [CatBoost](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/catboost.md)
- [Chi-squared Automatic Interaction Detection](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/chi-squared-automatic-interaction-detection.md)
- [Classification and Regression Tree](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/classification-and-regression-tree.md)
- [Conditional Decision Trees](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/conditional-decision-trees.md)
- [Convolutional Neural Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/convolutional-neural-network.md)
- [Decision Stump](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/decision-stump.md)
- [Deep Belief Networks](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/deep-belief-networks.md)
- [Deep Boltzmann Machine](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/deep-boltzmann-machine.md)
- [Deep Q-Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/deep-q-network.md)
- [Density-Based Spatial Clustering of Applications with Noise](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/density-based-spatial-clustering-of-applications-with-noise.md)
- [Differential Evolution](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/differential-evolution.md)
- [Eclat](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/eclat.md)
- [Elastic Net](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/elastic-net.md)
- [Expectation Maximization](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/expectation-maximization.md)
- [eXtreme Gradient Boosting](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/extreme-gradient-boosting.md)
- [Flexible Discriminant Analysis](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/flexible-discriminant-analysis.md)
- [Gated Recurrent Unit](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/gated-recurrent-unit.md)
- [Gaussian Naive Bayes](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/gaussian-naive-bayes.md)
- [Genetic](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/genetic.md)
- [Gradient Boosted Regression Trees](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/gradient-boosted-regression-trees.md)
- [Gradient Boosting Machines](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/gradient-boosting-machines.md)
- [Gradient Descent](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/gradient-descent.md)
- [Hidden Markov Models](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/hidden-markov-model.md)
- [Hierarchical Clustering](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/hierarchical-clustering.md)
- [Hopfield Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/hopfield-network.md)
- [Independent Component Analysis](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/independent-component-analysis.md)
- [Isolation Forest](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/isolation-forest.md)
- [Iterative Dichotomiser 3](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/iterative-dichotomiser-3.md)
- [k-Means](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/k-means.md)
- [k-Medians](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/k-medians.md)
- [k-Nearest Neighbor](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/k-nearest-neighbor.md)
- [Label Propagation Algorithm](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/label-propagation-algorithm.md)
- [Label Spreading](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/label-spreading.md)
- [Latent Dirichlet Allocation](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/latent-dirichlet-allocation.md)
- [Learning Vector Quantization](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/learning-vector-quantization.md)
- [Least Absolute Shrinkage and Selection Operator](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/least-absolute-shrinkage-and-selection-operator.md)
- [Least-Angle Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/least-angle-regression.md)
- [LightGBM](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/lightgbm.md)
- [Linear Discriminant Analysis](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/linear-discriminant-analysis.md)
- [Linear Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/linear-regression.md)
- [Locally Estimated Scatterplot Smoothing](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/locally-estimated-scatterplot-smoothing.md)
- [Locally Weighted Learning](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/locally-weighted-learning.md)
- [Logistic Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/logistic-regression.md)
- [Long Short-Term Memory Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/long-short-term-memory-network.md)
- [M5](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/m5.md)
- [Mini-Batch Gradient Descent](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/mini-batch-gradient-descent.md)
- [Mixture Discriminant Analysis](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/mixture-discriminant-analysis.md)
- [Momentum](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/momentum.md)
- [Monte Carlo Tree Search](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/monte-carlo-tree-search.md)
- [Multidimensional Scaling](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/multidimensional-scaling.md)
- [Multilayer Perceptrons](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/multilayer-perceptrons.md)
- [Multinomial Naive Bayes](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/multinomial-naive-bayes.md)
- [Multivariate Adaptive Regression Splines](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/multivariate-adaptive-regression-splines.md)
- [Nadam](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/nadam.md)
- [Naive Bayes](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/naive-bayes.md)
- [Ordinary Least Squares Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/ordinary-least-squares-regression.md)
- [Partial Least Squares Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/partial-least-squares-regression.md)
- [Particle Swarm Optimization](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/particle-swarm-optimization.md)
- [Perceptron](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/perceptron.md)
- [Policy Gradients](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/policy-gradients.md)
- [Principal Component Analysis](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/principal-component-analysis.md)
- [Principal Component Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/principal-component-regression.md)
- [Projection Pursuit](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/projection-pursuit.md)
- [Proximal Policy Optimization](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/proximal-policy-optimization.md)
- [Q-learning](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/q-learning.md)
- [Quadratic Discriminant Analysis](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/quadratic-discriminant-analysis.md)
- [Radial Basis Function Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/radial-basis-function-network.md)
- [Random Forest](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/random-forest.md)
- [Recurrent Neural Network](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/recurrent-neural-network.md)
- [Reinforcement Learning](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/reinforcement-learning.md)
- [Ridge Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/ridge-regression.md)
- [RMSProp](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/rmsprop.md)
- [Rotation Forest](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/rotation-forest.md)
- [Sammon Mapping](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/sammon-mapping.md)
- [Self-Organizing Map](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/self-organizing-map.md)
- [Semi-Supervised Support Vector Machines](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/semi-supervised-support-vector-machines.md)
- [Simulated Annealing](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/simulated-annealing.md)
- [Spectral Clustering](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/spectral-clustering.md)
- [Stacked Auto-Encoders](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/stacked-auto-encoders.md)
- [Stacked Generalization](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/stacked-generalization.md)
- [State-Action-Reward-State-Action](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/state-action-reward-state-action.md)
- [Stepwise Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/stepwise-regression.md)
- [Stochastic Gradient Descent](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/stochastic-gradient-descent.md)
- [Support Vector Machines](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/support-vector-machines.md)
- [Support Vector Regression](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/support-vector-regression.md)
- [t-Distributed Stochastic Neighbor Embedding](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/t-distributed-stochastic-neighbor-embedding.md)
- [TD-Lambda](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/td-lambda.md)
- [Weighted Average](https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters/weighted-average.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://serpdotai.gitbook.io/the-hitchhikers-guide-to-machine-learning-algorithms/chapters.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.