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  • Machine Learning

  • Kaggle Platform

    Community of data scientists, machine learning competitions, datasets

  • Machine Learning Playground

    Play around with different models in the browser, pros and cons of each, k-nearest Neighbor, perceptron, support vector machine, artificial neural network, decision tree

  • colah's blog Articles

    Research insights

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  • Sebastian Ruder Articles

    Discussion of advanced topics and concepts

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  • when trees fall Columns

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  • TensorFlow Framework

    Open-source, numerical computation

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  • The AI Podcast Interviews

    guests, experts

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  • Machine Learning with Python Playlist

    High-level intuition, understanding of algorithms, regression, classification, neural networks,scikit-learn, tensorflow

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  • Machine Learning Video Lecture

    Mathematical discussion, best practices in machine learning

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  • Maschinelles Lernen Video Lecture

    Methods of machine learning, fields of application and tools

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  • Mathematics for Machine Learning Specialization

    Linear algebra, multivariate calculus, principal component analysis

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  • Chris Albon

    Code snippets on various topics

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  • Lex Fridman Research Scientist

    Human-centered AI and autonomous vehicles

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  • Bernhard Sch?lkopf Professor

    Study of kernel methods for extracting regularities from possibly high-dimensional data

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

    scikit-Learn, Keras, TensorFlow

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  • Machine Learning Yearning E-Book

    Technical strategy for technical engineers, machine Learning in Production and in a team

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  • An Introduction to Statistical Learning Book

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  • Python Machine Learning Non-fictional

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  • Visualizing Data using T-SNE

    High dimensional data

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  • Scikit-Learn Software libray

    Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

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  • Information
  • Statistical classification Wikipedia

    The problem of identifying to which of a set of categories a new observation belongs, on the basis of a training set of data containing observations whose category membership is known.

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  • Gradient Descent Wikipedia

    Most popular optimization strategy, used to minimize some function by iteratively moving in the direction of steepest descent

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  • Loss Function Wikipedia

    a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event. An optimization problem seeks to minimize a loss function

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  • Machine Learning Yearning Literature

    Technical strategy for technical engineers, machine Learning in Production and in a team

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  • Overfitting Wikipedia

    Fitting data too closely or exactly to a particular dataset, and may therefore fail to fit unseen data

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  • Bias-variance tradeoff Wikipedia

    the conflict in trying to simultaneously minimize these two sources of error that prevent supervised learning algorithms from generalizing beyond their training set

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  • colah's blog Blog

    Research insights

    Upvote

  • Sebastian Ruder Blog

    Discussion of advanced topics and concepts

    Upvote

  • when trees fall Blog

    Upvote

  • Feature extraction Wikipedia

    Facilitates subsequent learning and generalization steps, and in some cases leading to better human interpretations

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  • Application
  • Scikit-Learn Other

    Classification, regression, clustering, dimensionality reduction, model selection, preprocessing, built on NumPy, SciPy, and matplotlib

    Upvote

  • TensorFlow Software

    Open-source, numerical computation

    Upvote

  • Machine Learning Playground

    Play around with different models in the browser, pros and cons of each, k-nearest Neighbor, perceptron, support vector machine, artificial neural network, decision tree

    Upvote

  • Education
  • Machine Learning

    Mathematical discussion, best practices in machine learning

    Upvote

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

    scikit-Learn, Keras, TensorFlow

    Upvote

  • Maschinelles Lernen

    Methods of machine learning, fields of application and tools

    Upvote

  • An Introduction to Statistical Learning

    Upvote

  • Chris Albon

    Code snippets on various topics

    Upvote

  • Visualizing Data using T-SNE

    High dimensional data

    Upvote

  • Adversarial machine learning

    Spam filtering, malware detection and biometric recognition

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  • Collaborative Filtering

    Machine learning, recommendation system

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  • Machine Learning with Python

    High-level intuition, understanding of algorithms, regression, classification, neural networks,scikit-learn, tensorflow

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  • Mathematics for Machine Learning

    Linear algebra, multivariate calculus, principal component analysis

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  • Python Machine Learning

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  • Exchange
  • Kaggle

    Community of data scientists, machine learning competitions, datasets

    Upvote

  • Other
  • The AI Podcast

    guests, experts

    Upvote

  • Lex Fridman

    Human-centered AI and autonomous vehicles

    Upvote

  • Entertainment
  • Bernhard Sch?lkopf

    Study of kernel methods for extracting regularities from possibly high-dimensional data

    Upvote

  • Add your content

    Become the curator for
    Machine Learning