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Community of data scientists, machine learning competitions, datasets

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

Research insights

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Discussion of advanced topics and concepts

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Open-source, numerical computation

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guests, experts

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

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Mathematical discussion, best practices in machine learning

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Methods of machine learning, fields of application and tools

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Linear algebra, multivariate calculus, principal component analysis

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Code snippets on various topics

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Human-centered AI and autonomous vehicles

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

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scikit-Learn, Keras, TensorFlow

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

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High dimensional data

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

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

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

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

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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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Research insights

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Discussion of advanced topics and concepts

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

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

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*
*

Open-source, numerical computation

*Upvote*
*
*

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*
*
*

Mathematical discussion, best practices in machine learning

*Upvote*
*
*

scikit-Learn, Keras, TensorFlow

*Upvote*
*
*

Methods of machine learning, fields of application and tools

*Upvote*
*
*

*Upvote*
*
*

Code snippets on various topics

*Upvote*
*
*

High dimensional data

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*
*

Spam filtering, malware detection and biometric recognition

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Machine learning, recommendation system

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

*Upvote*
*
*

Linear algebra, multivariate calculus, principal component analysis

*Upvote*
*
*

*Upvote*
*
*

Community of data scientists, machine learning competitions, datasets

*Upvote*
*
*

guests, experts

*Upvote*
*
*

Human-centered AI and autonomous vehicles

*Upvote*
*
*

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

*Upvote*
*
*

Machine Learning