Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
Angestrom

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /rasbt/python-machine-learning-book
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

rasbt/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • FuzzySimilar title/name (fuzzy) · 59%Rotational Equivariance in Machine Learning: A Comprehensive Tutorial →

    “Fuzzy title match (0.73): “Rotational Equivariance in Machine Learning: A Comprehensive” ≈ “rasbt/python-machine-learning-book””

  • FuzzySimilar title/name (fuzzy) · 59%EMFE: A lightweight, explainable machine learning framework for malaria cell classification →

    “Fuzzy title match (0.73): “EMFE: A lightweight, explainable machine learning framework ” ≈ “rasbt/python-machine-learning-book””

  • FuzzySimilar title/name (fuzzy) · 59%Causal Evidentiary Governance for High-Risk Machine Learning Systems →

    “Fuzzy title match (0.73): “Causal Evidentiary Governance for High-Risk Machine Learning” ≈ “rasbt/python-machine-learning-book””

  • FuzzySimilar title/name (fuzzy) · 59%Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials →

    “Fuzzy title match (0.73): “Hessian-based molecular conformation augmentation for a scal” ≈ “rasbt/python-machine-learning-book””

  • FuzzySimilar title/name (fuzzy) · 59%Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics →

    “Fuzzy title match (0.73): “Entropy-Constrained Machine Learning with Residual Data Augm” ≈ “rasbt/python-machine-learning-book””

  • FuzzySimilar title/name (fuzzy) · 59%Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analytics →

    “Fuzzy title match (0.73): “Understanding How Humans Inject Knowledge into Machine Learn” ≈ “rasbt/python-machine-learning-book””

  • FuzzySimilar title/name (fuzzy) · 59%Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm →

    “Fuzzy title match (0.73): “Human-Machine Collaboration on Generative Meta-Learning: Mod” ≈ “rasbt/python-machine-learning-book””

  • PossiblePossibly related (embedding) · 64%IN 2026 ML BOOK OUTDATED? [D] →

Implements

paperRotational Equivariance in Machine Learning: A Comprehensive TutorialpaperEMFE: A lightweight, explainable machine learning framework for malaria cell classificationpaperCausal Evidentiary Governance for High-Risk Machine Learning SystemspaperHessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentialspaperEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical KineticspaperUnderstanding How Humans Inject Knowledge into Machine Learning Workflows through Visual AnalyticspaperHuman-Machine Collaboration on Generative Meta-Learning: Model and AlgorithmpaperComparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT NetworkspaperAutomatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete WorkspaperSpectral Stability of Pseudoinverse-Based Extreme Learning MachinepaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperMachine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based MethodologypaperThe Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine TranslationpaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperOn the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical PerspectivepaperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward LearningpaperTime-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}paperLearning to Unlearn: Machine Unlearning via Learning the Unlearning BehaviorspaperBernstein-Vazirani Networks: Quantum Machine Learning by InterferencepaperCatching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine LearningpaperGravitational-wave parameter estimation with machine-learning generated surrogate waveformspaperA Standardized Framework for Machine Learning in Power System ProtectionpaperAdvanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)paperMachine Learning Assisted Inverse Design of Pixelated mmWave Patch Antennas

Covers

newsIN 2026 ML BOOK OUTDATED? [D]newsHow to get into Machine Learning [D]newsipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data SciencenewsMachine Learning Help at 10th Grade Level [D]

Covers (incoming)

newsMachine Learning - Stellenbosch UniversitynewsCoding Machine Learning Lecture 1 - YouTubenewsCoding Machine Learning Lecture 1 - youtu.benewsMachine Learning Lecture 13 | Statistics 1 - YouTubenewshow can I learn Machine Learning for Astronomical use? [D]newsSuggested books for certificationnewsExplore and master machine learning and data science with this eight-course bundle - TechRepublicnewsBest Data Science Course in Mumbai: Python, Machine Learning, AI and More - findarticles.com

Related across the graph

paperRotational Equivariance in Machine Learning: A Comprehensive TutorialpaperEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical KineticspaperCausal Evidentiary Governance for High-Risk Machine Learning SystemspaperMachine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based MethodologypaperUnderstanding How Humans Inject Knowledge into Machine Learning Workflows through Visual AnalyticspaperMachine Learning Assisted Inverse Design of Pixelated mmWave Patch AntennaspaperHuman-Machine Collaboration on Generative Meta-Learning: Model and AlgorithmpaperAdvanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)newsMachine Learning Help at 10th Grade Level [D]newsBest Data Science Course in Mumbai: Python, Machine Learning, AI and More - findarticles.compaperSpectral Stability of Pseudoinverse-Based Extreme Learning MachinepaperAutomatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete WorkspaperOn the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspectivenewshow can I learn Machine Learning for Astronomical use? [D]paperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward LearningpaperGravitational-wave parameter estimation with machine-learning generated surrogate waveformspaperHessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentialspaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperEMFE: A lightweight, explainable machine learning framework for malaria cell classificationpaperBernstein-Vazirani Networks: Quantum Machine Learning by InterferencepaperThe Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine TranslationpaperComparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT NetworksnewsExplore and master machine learning and data science with this eight-course bundle - TechRepublicnewsMachine Learning Lecture 13 | Statistics 1 - YouTubenewsHow to get into Machine Learning [D]newsIN 2026 ML BOOK OUTDATED? [D]paperTime-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}newsMachine Learning - Stellenbosch UniversitypaperA Standardized Framework for Machine Learning in Power System ProtectionnewsipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data SciencenewsCoding Machine Learning Lecture 1 - YouTubepaperLearning to Unlearn: Machine Unlearning via Learning the Unlearning BehaviorspaperCatching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine LearningnewsCoding Machine Learning Lecture 1 - youtu.benewsSuggested books for certification
Knowledge path·PRotational Equivariance in Machine Learning: A Comprehensive Tutorial→PEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics→PCausal Evidentiary Governance for High-Risk Machine Learning Systems→Rrasbt/python-machine-learning-book

Topics

data-miningdata-sciencelogistic-regressionmachine-learningmachine-learning-algorithmsneural-networkpythonscikit-learn

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score12622