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spellbook

The spellbook Library

  • Source Code Reference
    • Python
      • spellbook.input
      • spellbook.inspect
      • spellbook.plot
      • spellbook.plot1D
      • spellbook.plot2D
      • spellbook.plotutils
      • spellbook.stat
      • spellbook.train
  • Tools and Technologies
    • AWS
    • Conda, Mamba & Pip
    • Docker
    • GCP
    • Git
      • GitHub
    • Jupyter
    • MkDocs
    • pandas
    • Python
      • Logging
    • Rich
    • Sphinx
    • TensorFlow
      • Saving and Loading Models
    • virtualenv & venv
    • Visual Studio Code

Projects & Tutorials

  • Table of Contents
  • Binary Classification: Stroke Prediction
    • Data Exploration and Cleaning
    • Data Preparation and Input Pipeline
    • Model Training and Validation
  • Decision Forests in TensorFlow
  • Serving TensorFlow Models in Docker
  • TensorFlow Serving with Docker on AWS

Extras

  • Links & Literature
  • Glossary
  • Index
  • ToDo List
Contact me on GitHub
Contact me on LinkedIn
  • repository
  • open issue
  • suggest edit
  • .rst
Contents
  • Supervised Learning

Links & Literature

Contents

  • Supervised Learning

Links & Literature#

Supervised Learning#

General reviews, textbooks and lectures

  • Goodfellow, Bengio and Courville: Deep Learning

  • Yandex DataSchool: MLHEP2017

  • TensorFlow / Google Developers

    • Google Machine Learning Glossary

    • Machine Learning Foundations

    • Natural Language Processing (NLP) Zero to Hero

  • DeepLearningAI YouTube channel

    • Course 1: Neural Networks and Deep Learning

    • Course 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    • Course 3: Structuring Machine Learning Projects

    • Course 4: Convolutional Neural Networks

    • Course 5: Sequence Models

    • Heroes of Deep Learning

Topical resources

  • Loss functions

    • 5 Regression Loss Functions All Machine Learners Should Know

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Glossary

© Copyright 2021, Daniel Rauch (dmrauch).
Last updated on August 8, 2022.

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