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Machine Learning

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About this learning path

Machine Learning

It comes from

  • ↑ Artificial Intelligence
  • includes the learning paths

  • Python
  • Calculus
  • and can be deepened into

  • ↓ Neural Networks
  • ↓ Supervised Learning
  • ↓ Unsupervised Learning
  • ↓ Reinforcement Learning
  • Is important for

  • ↓ Data Science
  • Related Learning Paths:

  • ↓ Data Mining
  • Web resources
    Start immediately and learn at your own pace.

    Flexible schedule
    Set and adhere to flexible deadlines.

    Approx. 3 months to complete
    Recommended 12 hours/week

    Mostly English

    Curator

    There is no curator for
    Machine Learning yet!

    This How it Works

    You go Section by Section. In each Section you'll find resources containing:

    1. Information

    2. Educational content

    3. Places to exchange infos

    4. Applications, Tools

    ( 5. Entertaining content )

    After studying a resource, you check it.

    Learning Path

    Section

    1

    »

    Linear Regression

    »

    Statistical classification

    »

    Clustering

    »

    Machine learning problem framing Lessons

    »

    Maschinelles Lernen Video Lecture

    »

    Teachable Machine Web Application

    »

    Machine Learning Playground

    Section

    2

    »

    Overfitting

    »

    Bias-variance tradeoff

    »

    Goodhart's law Quote

    »

    Curse of dimensionality

    »

    Feature extraction

    »

    Chris Albon

    »

    Data Preparation and Feature Engineering in ML Lessons

    »

    Machine Learning Recipes with Josh Gordon Playlist

    »

    Machine Learning with Python Playlist

     

    Scikit-Learn Software libray

    Section

    3

    »

    Gradient Descent Method

    »

    Loss Function Method

    »

    Machine Learning Video Lecture

    »

    Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

    »

    Python Data Science Handbook E-Book

    »

    Machine Learning Clustering

    »

    Testing and Debugging in Machine Learning Lessons

    »

    TensorFlow Framework

    »

    Seedbank Database

     

    The AI Podcast Interviews

    Section

    4

    »

    Machine Learning Yearning E-Book

    »

    colah's blog Articles

    »

    Sebastian Ruder Articles

    »

    when trees fall Columns

    »

    An Introduction to Statistical Learning Book

    »

    Visualizing Data using T-SNE

    »

    Adversarial machine learning

    »

    Collaborative Filtering Technology

    »

    Mathematics for Machine Learning Specialization

    »

    Python Machine Learning Non-fictional

     

    Kaggle Platform

     

    Lex Fridman Research Scientist