# Machine & Deep Learning Compendium ## Machine & Deep Learning Compendium - [AI Compendium](https://www.mlcompendium.com/readme.md) - [Introduction](https://www.mlcompendium.com/readme/introduction.md) - [Thanks Page](https://www.mlcompendium.com/readme/thanks-page.md) - [Introduction](https://www.mlcompendium.com/business-problems/intro.md) - [Data Science](https://www.mlcompendium.com/business-problems/data-science.md) - [Next](https://www.mlcompendium.com/business-problems/outro.md) - [Introduction](https://www.mlcompendium.com/data/intro.md) - [Datasets](https://www.mlcompendium.com/data/datasets-intro.md) - [Feature Types](https://www.mlcompendium.com/data/datasets-intro/feature-types.md) - [Data Catalogs](https://www.mlcompendium.com/data/datasets-intro/data-catalogs.md) - [Dataset Confidence](https://www.mlcompendium.com/data/datasets-intro/dataset-confidence.md) - [Datasets](https://www.mlcompendium.com/data/datasets-intro/datasets.md) - [Named Datasets](https://www.mlcompendium.com/data/datasets-intro/named-datasets.md) - [Next](https://www.mlcompendium.com/data/datasets-intro/datasets-outro.md) - [Data Processing](https://www.mlcompendium.com/data/processing-intro.md) - [Distribution Transformation](https://www.mlcompendium.com/data/processing-intro/distribution-transformation.md) - [Normalization & Scaling](https://www.mlcompendium.com/data/processing-intro/normalization-and-scaling.md) - [Data Pipelines](https://www.mlcompendium.com/data/processing-intro/data-pipelines.md) - [Feature Engineering](https://www.mlcompendium.com/data/processing-intro/feature-engineering.md) - [Annotation & Disagreement](https://www.mlcompendium.com/data/processing-intro/annotation-and-disagreement.md) - [Next](https://www.mlcompendium.com/data/processing-intro/processing-outro.md) - [Analytics](https://www.mlcompendium.com/data/analytics-intro.md) - [Probability](https://www.mlcompendium.com/data/analytics-intro/probability.md) - [Distribution](https://www.mlcompendium.com/data/analytics-intro/distribution.md) - [Probability & Statistics](https://www.mlcompendium.com/data/analytics-intro/probability-and-statistics.md) - [Information Theory](https://www.mlcompendium.com/data/analytics-intro/information-theory.md) - [Data Analytics](https://www.mlcompendium.com/data/analytics-intro/data-analytics.md) - [Dependence and Selection](https://www.mlcompendium.com/data/analytics-intro/dependence-and-selection.md) - [Next](https://www.mlcompendium.com/data/analytics-intro/analytics-outro.md) - [Data Engineering](https://www.mlcompendium.com/data/engineering-intro.md) - [Data Science Tools](https://www.mlcompendium.com/data/engineering-intro/data-science-tools.md) - [Multi CPU Processing](https://www.mlcompendium.com/data/engineering-intro/multi-cpu-processing.md) - [SQL](https://www.mlcompendium.com/data/engineering-intro/sql.md) - [Tools](https://www.mlcompendium.com/data/engineering-intro/tools.md) - [Databases](https://www.mlcompendium.com/data/engineering-intro/lakes-and-warehouses.md) - [Database Modeling](https://www.mlcompendium.com/data/engineering-intro/database-architecture-and-modeling.md) - [Data Engineering](https://www.mlcompendium.com/data/engineering-intro/data-engineering.md) - [Data Architecture](https://www.mlcompendium.com/data/engineering-intro/data-architecture.md) - [Data Platforms](https://www.mlcompendium.com/data/engineering-intro/data-platforms.md) - [Data Patterns](https://www.mlcompendium.com/data/engineering-intro/patterns.md) - [Data Quality](https://www.mlcompendium.com/data/engineering-intro/data-quality.md) - [Data Observability](https://www.mlcompendium.com/data/engineering-intro/data-observability.md) - [Data Lineage](https://www.mlcompendium.com/data/engineering-intro/data-lineage.md) - [Data Contract](https://www.mlcompendium.com/data/engineering-intro/data-contract.md) - [Data Governance](https://www.mlcompendium.com/data/engineering-intro/data-governance.md) - [Data Mesh](https://www.mlcompendium.com/data/engineering-intro/data-mesh.md) - [Data Product](https://www.mlcompendium.com/data/engineering-intro/data-product.md) - [Data Strategy](https://www.mlcompendium.com/data/engineering-intro/data-strategy.md) - [Data Vision](https://www.mlcompendium.com/data/engineering-intro/data-vision.md) - [Data Teams](https://www.mlcompendium.com/data/engineering-intro/data-teams.md) - [Data KPIs](https://www.mlcompendium.com/data/engineering-intro/data-kpis.md) - [Data Program Management](https://www.mlcompendium.com/data/engineering-intro/data-program-management.md) - [Data Engineering Questions](https://www.mlcompendium.com/data/engineering-intro/data-engineering-questions.md) - [Next](https://www.mlcompendium.com/data/engineering-intro/engineering-outro.md) - [Next](https://www.mlcompendium.com/data/outro.md) - [Introduction](https://www.mlcompendium.com/problem-framing/intro.md) - [Overview](https://www.mlcompendium.com/problem-framing/types-of-machine-learning.md) - [Multi Label Classification](https://www.mlcompendium.com/problem-framing/multi-label-classification.md) - [Weakly Supervised](https://www.mlcompendium.com/problem-framing/weakly-supervised.md) - [Label Algorithms](https://www.mlcompendium.com/problem-framing/label-algorithms.md) - [Semi Supervised](https://www.mlcompendium.com/problem-framing/semi-supervised.md) - [Active Learning](https://www.mlcompendium.com/problem-framing/active-learning.md) - [Online Learning](https://www.mlcompendium.com/problem-framing/online-learning.md) - [N-Shot Learning](https://www.mlcompendium.com/problem-framing/n-shot-learning.md) - [Model Families](https://www.mlcompendium.com/problem-framing/model-families.md) - [Next](https://www.mlcompendium.com/problem-framing/outro.md) - [Introduction](https://www.mlcompendium.com/evals/intro.md) - [Evaluation Metrics](https://www.mlcompendium.com/evals/evaluation-metrics.md) - [Datasets Reliability & Correctness](https://www.mlcompendium.com/evals/validation.md): Or why we shouldn't trust models - [Training Strategies](https://www.mlcompendium.com/evals/training-strategies.md) - [Hyper Parameter Optimization](https://www.mlcompendium.com/evals/hyper-parameter-optimization.md) - [Data & Model Tests](https://www.mlcompendium.com/evals/data-and-model-tests.md) - [Benchmarking](https://www.mlcompendium.com/evals/benchmarking.md) - [Next](https://www.mlcompendium.com/evals/outro.md) - [Introduction](https://www.mlcompendium.com/predictive-ml/intro.md) - [Data Mining](https://www.mlcompendium.com/predictive-ml/data-mining.md) - [Linear Separator Algorithms](https://www.mlcompendium.com/predictive-ml/linear-separator-algorithms.md) - [Nearest Neighbors](https://www.mlcompendium.com/predictive-ml/nearest-neighbors.md) - [Regularization](https://www.mlcompendium.com/predictive-ml/regularization.md) - [Probabilistic Models](https://www.mlcompendium.com/predictive-ml/probabilistic-models.md) - [Regression](https://www.mlcompendium.com/predictive-ml/regression.md) - [Decision Trees](https://www.mlcompendium.com/predictive-ml/decision-trees.md) - [Ensembles](https://www.mlcompendium.com/predictive-ml/ensembles.md) - [Genetic Algorithms & Genetic Programming](https://www.mlcompendium.com/predictive-ml/genetic-algorithms-and-genetic-programming.md) - [Learning Classifier Systems](https://www.mlcompendium.com/predictive-ml/learning-classifier-systems.md) - [Clustering Algorithms](https://www.mlcompendium.com/predictive-ml/clustering-algorithms.md) - [Dimensionality Reduction Methods](https://www.mlcompendium.com/predictive-ml/dimensionality-reduction-methods.md) - [Anomaly Detection](https://www.mlcompendium.com/predictive-ml/anomaly-detection.md) - [Process Mining](https://www.mlcompendium.com/predictive-ml/process-mining.md) - [Log Parsing / Templatization](https://www.mlcompendium.com/predictive-ml/templatization.md) - [Forecasting](https://www.mlcompendium.com/predictive-ml/forecasting.md) - [Time Series Search](https://www.mlcompendium.com/predictive-ml/time-series-search.md) - [Fourier Transform](https://www.mlcompendium.com/predictive-ml/fourier-transform.md) - [Digital Signal Processing (DSP)](https://www.mlcompendium.com/predictive-ml/digital-signal-processing-dsp.md) - [Audio Basics](https://www.mlcompendium.com/predictive-ml/audio-basics.md) - [Audio Terminology](https://www.mlcompendium.com/predictive-ml/audio-terminology.md) - [Audio Feature Engineering](https://www.mlcompendium.com/predictive-ml/audio-feature-engineering.md) - [Audio Algorithms](https://www.mlcompendium.com/predictive-ml/audio-algorithms.md) - [Graph Theory](https://www.mlcompendium.com/predictive-ml/graph-theory.md) - [Social Network Analysis](https://www.mlcompendium.com/predictive-ml/social-network-analysis.md) - [Next](https://www.mlcompendium.com/predictive-ml/outro.md) - [Introduction](https://www.mlcompendium.com/decision-intelligence/intro.md) - [Design Of Experiments](https://www.mlcompendium.com/decision-intelligence/design-of-experiments.md) - [DOE Tools](https://www.mlcompendium.com/decision-intelligence/doe-tools.md) - [Factorial Design](https://www.mlcompendium.com/decision-intelligence/factorial-design.md) - [Hypothesis Testing](https://www.mlcompendium.com/decision-intelligence/hypothesis-testing.md) - [A/B Testing](https://www.mlcompendium.com/decision-intelligence/a-b-testing.md) - [Multi Armed Bandits](https://www.mlcompendium.com/decision-intelligence/multi-armed-bandits.md) - [Contextual Bandits](https://www.mlcompendium.com/decision-intelligence/contextual-bandits.md) - [Active Learning Algorithms](https://www.mlcompendium.com/decision-intelligence/active-learning-algorithms.md) - [Incremental Learning](https://www.mlcompendium.com/decision-intelligence/incremental-learning.md) - [Follow the regularized leader](https://www.mlcompendium.com/decision-intelligence/follow-the-regularized-leader.md) - [Reinforcement Learning](https://www.mlcompendium.com/decision-intelligence/reinforcement-learning.md) - [Propensity Score Matching](https://www.mlcompendium.com/decision-intelligence/propensity-score-matching.md) - [Root Cause Effects (RCE/RCA)](https://www.mlcompendium.com/decision-intelligence/root-cause-effects-rce-rca.md) - [Next](https://www.mlcompendium.com/decision-intelligence/outro.md) - [Introduction](https://www.mlcompendium.com/deep-learning/intro.md) - [Calculus](https://www.mlcompendium.com/deep-learning/calculus.md) - [Game Theory](https://www.mlcompendium.com/deep-learning/game-theory.md) - [Deep Neural Nets Basics](https://www.mlcompendium.com/deep-learning/deep-neural-nets.md) - [Deep Network Optimization](https://www.mlcompendium.com/deep-learning/deep-network-optimization.md) - [Deep Neural Frameworks](https://www.mlcompendium.com/deep-learning/deep-neural-frameworks.md) - [Autoencoders](https://www.mlcompendium.com/deep-learning/autoencoders.md) - [Convolutional Nets](https://www.mlcompendium.com/deep-learning/convolutional-nets.md) - [Recurrent Nets](https://www.mlcompendium.com/deep-learning/recurrent-nets.md) - [Attention](https://www.mlcompendium.com/deep-learning/attention.md) - [Transformers](https://www.mlcompendium.com/deep-learning/transformers.md) - [Bayesian Neural Nets](https://www.mlcompendium.com/deep-learning/bayesian-neural-nets.md) - [Graph Neural Nets](https://www.mlcompendium.com/deep-learning/graph-neural-nets.md) - [Siamese Nets](https://www.mlcompendium.com/deep-learning/siamese-nets.md) - [Other Architectures](https://www.mlcompendium.com/deep-learning/other-architectures.md) - [Representations](https://www.mlcompendium.com/deep-learning/representations.md) - [Meta Learning (AutoML)](https://www.mlcompendium.com/deep-learning/meta-learning.md) - [Deep Neural Machine Vision](https://www.mlcompendium.com/deep-learning/deep-neural-machine-vision.md) - [Deep Neural Audio](https://www.mlcompendium.com/deep-learning/deep-neural-audio.md) - [Deep Neural Tabular](https://www.mlcompendium.com/deep-learning/deep-neural-tabular.md) - [Deep Neural Time Series](https://www.mlcompendium.com/deep-learning/deep-neural-time-series.md) - [Next](https://www.mlcompendium.com/deep-learning/outro.md) - [Introduction](https://www.mlcompendium.com/natural-language-processing-nlp/intro.md) - [A Reality Check](https://www.mlcompendium.com/natural-language-processing-nlp/a-reality-check.md) - [Foundation NLP](https://www.mlcompendium.com/natural-language-processing-nlp/foundation-nlp.md) - [NLP Tools](https://www.mlcompendium.com/natural-language-processing-nlp/nlp.md) - [Name Matching](https://www.mlcompendium.com/natural-language-processing-nlp/name-matching.md) - [String Matching](https://www.mlcompendium.com/natural-language-processing-nlp/string-matching.md) - [TF-IDF](https://www.mlcompendium.com/natural-language-processing-nlp/tf-idf.md) - [Topics Modeling](https://www.mlcompendium.com/natural-language-processing-nlp/topics-modeling.md) - [Tokenization](https://www.mlcompendium.com/natural-language-processing-nlp/tokenization.md) - [Named Entity Recognition (NER)](https://www.mlcompendium.com/natural-language-processing-nlp/named-entity-recognition-ner.md) - [Sentiment Analysis](https://www.mlcompendium.com/natural-language-processing-nlp/sentiment-analysis.md) - [Question Answering](https://www.mlcompendium.com/natural-language-processing-nlp/question-answering.md) - [Summarization](https://www.mlcompendium.com/natural-language-processing-nlp/summarization.md) - [Language Detection Identification Generation (NLD, NLI, NLG)](https://www.mlcompendium.com/natural-language-processing-nlp/language-detection-identification-generation-nld-nli-nlg.md) - [SEARCH](https://www.mlcompendium.com/natural-language-processing-nlp/search.md) - [Intent Recognition](https://www.mlcompendium.com/natural-language-processing-nlp/intent-recognition.md) - [Neural NLP](https://www.mlcompendium.com/natural-language-processing-nlp/neural-nlp.md) - [Language Embeddings](https://www.mlcompendium.com/natural-language-processing-nlp/language-embeddings.md) - [Pretrained Language Models](https://www.mlcompendium.com/natural-language-processing-nlp/pretrained-language-models.md) - [Decoding Algorithms For NLP](https://www.mlcompendium.com/natural-language-processing-nlp/decoding-algorithms-for-nlp.md) - [Multi Language](https://www.mlcompendium.com/natural-language-processing-nlp/multi-language.md) - [Augmentation](https://www.mlcompendium.com/natural-language-processing-nlp/augmentation.md) - [Knowledge Graphs](https://www.mlcompendium.com/natural-language-processing-nlp/knowledge-graphs.md) - [Next](https://www.mlcompendium.com/natural-language-processing-nlp/outro.md) - [Introduction](https://www.mlcompendium.com/generative-ai/intro.md) - [Methods](https://www.mlcompendium.com/generative-ai/methods.md) - [Diffusion Models](https://www.mlcompendium.com/generative-ai/diffusion-models.md) - [Large Language Models (LLMs)](https://www.mlcompendium.com/generative-ai/large-language-models-llms.md) - [Prompt](https://www.mlcompendium.com/generative-ai/prompt.md) - [RAG](https://www.mlcompendium.com/generative-ai/rag.md) - [Agents](https://www.mlcompendium.com/generative-ai/agents.md) - [Research and Reviewer Agents](https://www.mlcompendium.com/generative-ai/research-reviewer-agents.md) - [Speech](https://www.mlcompendium.com/generative-ai/speech.md) - [Vision](https://www.mlcompendium.com/generative-ai/vision.md) - [Mix N Match](https://www.mlcompendium.com/generative-ai/mix-n-match.md) - [GenAI Applications](https://www.mlcompendium.com/generative-ai/genai-applications.md) - [Chat UI/UX](https://www.mlcompendium.com/generative-ai/chat-ui-ux.md) - [Chat Bots](https://www.mlcompendium.com/generative-ai/chat-bots.md) - [Conversation](https://www.mlcompendium.com/generative-ai/conversation.md) - [Gen AI Industry](https://www.mlcompendium.com/generative-ai/generative-ai.md) - [Next](https://www.mlcompendium.com/generative-ai/outro.md) - [Introduction](https://www.mlcompendium.com/responsible-ai/intro.md) - [Calibration](https://www.mlcompendium.com/responsible-ai/calibration.md) - [Interpretable & Explainable AI (XAI)](https://www.mlcompendium.com/responsible-ai/interpretable-and-explainable-ai-xai.md) - [Fairness, Accountability, and Transparency](https://www.mlcompendium.com/responsible-ai/fairness-accountability-and-transparency.md) - [Fairness, Accountability, and Transparency In Prompts](https://www.mlcompendium.com/responsible-ai/fairness-accountability-and-transparency-in-prompts.md) - [Unlearning](https://www.mlcompendium.com/responsible-ai/unlearning.md) - [Federated Learning](https://www.mlcompendium.com/responsible-ai/federated-learning.md) - [Next](https://www.mlcompendium.com/responsible-ai/outro.md) - [Introduction](https://www.mlcompendium.com/ai-engineering/intro.md) - [Definitions](https://www.mlcompendium.com/ai-engineering/definitions.md) - [MLOps Intro](https://www.mlcompendium.com/ai-engineering/mlops-intro.md) - [MLOps Patterns](https://www.mlcompendium.com/ai-engineering/mlops.md) - [MLOps Teams](https://www.mlcompendium.com/ai-engineering/mlops-teams.md) - [MLOps Interview Questions](https://www.mlcompendium.com/ai-engineering/mlops-interview-questions.md) - [Feature Stores & Feature Pipelines](https://www.mlcompendium.com/ai-engineering/feature-stores-and-feature-pipelines.md) - [ML Experiment Management](https://www.mlcompendium.com/ai-engineering/experiment-management.md) - [MLOps Course](https://www.mlcompendium.com/ai-engineering/mlops-course.md) - [Model Formats](https://www.mlcompendium.com/ai-engineering/model-formats.md) - [MLOps Deployment](https://www.mlcompendium.com/ai-engineering/mlops-deployment.md) - [MLOps Tools](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops.md) - [ML Model Monitoring & Alerts](https://www.mlcompendium.com/ai-engineering/mlops-monitoring-and-alerts.md) - [AI As Data](https://www.mlcompendium.com/ai-engineering/ai-as-data.md) - [ML Architecture](https://www.mlcompendium.com/ai-engineering/ml-architecture.md) - [Humor](https://www.mlcompendium.com/ai-engineering/humor.md) - [System Design](https://www.mlcompendium.com/ai-engineering/system-design.md) - [Development Concepts](https://www.mlcompendium.com/ai-engineering/development-concepts.md) - [Algorithms 101](https://www.mlcompendium.com/ai-engineering/algorithms-101.md) - [Problems](https://www.mlcompendium.com/ai-engineering/problems.md) - [DevSecOps Definitions](https://www.mlcompendium.com/ai-engineering/tbd.md) - [DevSecOps Tools](https://www.mlcompendium.com/ai-engineering/tools.md) - [DevSecOps Concepts](https://www.mlcompendium.com/ai-engineering/concepts.md) - [DevOps Strategy](https://www.mlcompendium.com/ai-engineering/devops-strategy.md) - [MLOps Literature](https://www.mlcompendium.com/ai-engineering/literature.md) - [DevOps Tools](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1.md) - [Tutorials](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/tutorials.md) - [Continuous Integration](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/continuous-integration.md) - [Docker](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/docker.md) - [Kubernetes](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/kubernetes.md) - [Cloud Objects](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/cloud-objects.md) - [Key Value DB](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/key-value-db.md) - [API Gateway](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/api-gateway.md) - [Infrastructure As code](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/infrastructure-as-code.md) - [Logs](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/logs.md) - [ELK](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/elk.md) - [SLO](https://www.mlcompendium.com/ai-engineering/full-stack-and-ops-1/slo.md) - [Next](https://www.mlcompendium.com/ai-engineering/outro.md) - [Introduction](https://www.mlcompendium.com/ai-product/intro.md) - [Product Vision & Strategy](https://www.mlcompendium.com/ai-product/product-vision-and-strategy.md) - [Ideation](https://www.mlcompendium.com/ai-product/ideation.md) - [User Experience Design (UX)](https://www.mlcompendium.com/ai-product/user-experience-design-ux.md) - [Product / Program Managers](https://www.mlcompendium.com/ai-product/product-managers.md) - [Product Tools](https://www.mlcompendium.com/ai-product/product-tools.md) - [Product Management Resources](https://www.mlcompendium.com/ai-product/product-management-resources.md) - [Business](https://www.mlcompendium.com/ai-product/business.md) - [Expanding Your Data Science Skills](https://www.mlcompendium.com/ai-product/expanding-your-data-science-skills.md) - [Management](https://www.mlcompendium.com/ai-product/management.md) - [Data Science Management](https://www.mlcompendium.com/ai-product/data-science-management.md) - [Project & Program Management](https://www.mlcompendium.com/ai-product/project-and-program-management.md) - [Marketing](https://www.mlcompendium.com/ai-product/marketing.md) - [Growth](https://www.mlcompendium.com/ai-product/growth.md) - [Recommender Systems](https://www.mlcompendium.com/ai-product/recommender-systems.md) - [Churn Prediction](https://www.mlcompendium.com/ai-product/churn-prediction.md) - [Life Time Value (LTV)](https://www.mlcompendium.com/ai-product/life-time-value-ltv.md) - [Survival Analysis](https://www.mlcompendium.com/ai-product/survival-analysis.md) - [Fraud Detection](https://www.mlcompendium.com/ai-product/fraud-detection.md) - [Propaganda Detection](https://www.mlcompendium.com/ai-product/propaganda-detection.md) - [Drug Discovery](https://www.mlcompendium.com/ai-product/drug-discovery.md) - [NYC TAXI](https://www.mlcompendium.com/ai-product/examples.md) - [Electronic Network Frequency Analysis](https://www.mlcompendium.com/ai-product/electronic-network-frequency-analysis.md) - [Next](https://www.mlcompendium.com/ai-product/outro.md) --- # Agent Instructions This documentation is published with GitBook. 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