hadrienj @_hadrienj

Data and Machine Learning - Freelance. Previously Machine Learning Scientist at Ava. Previously PhD Student at Ecole Normal Supérieure. hadrienj.github.io Paris, France Joined March 2018

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Michael ☕️🤯 @_MRogers

4 years ago

@_hadrienj Such a fan of the book I decided to make a print copy

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🤓 Essential Math for Data Science - Singular Value Decomposition (SVD) Like eigendecomposition, SVD is a matrix decomposition method, but more generalizable because not limited to square matrices. Learn about SVD from a visual perspective in my new post: bit.ly/3gmysUo

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hadrienj @_hadrienj

5 years ago

Eigendecomposition is a major concept in data science. Learn about eigenvectors and eigenvalues and how it relates to Principal Component Analysis (PCA) in my new post 🔥 bit.ly/3usI5VY

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hadrienj @_hadrienj

5 years ago

In linear algebra, the basis is the set of independent vectors that span the space (all vectors are linear combinations of these basis vectors). Nice to approach matrix factorization like the SVD. Learn more about the basis in my new article 🤓: bit.ly/3cweODi

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hadrienj @_hadrienj

5 years ago

Going from data to systems of linear equations allows you to express a problem like linear regression with linear algebra! In this new article, you'll learn the basics of systems of linear equations and how to express them using matrices. 🤓 buff.ly/38HSV1P

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hadrienj @_hadrienj

5 years ago

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hadrienj @_hadrienj

5 years ago

Get a new look at matrices: you can consider them as a way to transform space! Try my new 'Essential Math for Data Science' article illustrating this in Python. bit.ly/3nTue7D

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hadrienj @_hadrienj

5 years ago

Essential math for data science: new article on linear algebra 🎉. Learn the basics of matrices and matrix products!🤓 bit.ly/37p9Y8c

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hadrienj @_hadrienj

5 years ago

New post from Essential Math for Data Science! Your first steps in linear algebra 🔥 : scalars, vectors, and the dot product. bit.ly/3n6CPDC

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hadrienj @_hadrienj

5 years ago

The next steps in your math for data science and machine learning journey: Information Theory. Learn about entropy, cross-entropy, log loss, and KL divergence in my new post: bit.ly/3o9NbCG

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Wazo - Cité internationale des Oiseaux @CiteOiseaux

5 years ago

Nous recherchons un.e bénévole capable d'identifier l'espèce à partir de chants d'oiseaux enregistrés dans Paris. Il s'agit de labéliser des fichiers audio de manière à entraîner/évaluer notre algorithme de machine learning ([email protected] ou mp) ! merci d'avance pour vos RTs 🐣

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hadrienj @_hadrienj

5 years ago

Have a look at my new blog article on essential math for data science 🤓 You'll learn about Poisson distributions used to model events like the number of emails arriving in your mailbox in 1h. bit.ly/2UZ6fHq

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hadrienj @_hadrienj

5 years ago

Learn the basics of probability theory for data science and machine learning 🤓: check my new blog article about probability mass and probability density functions! 🚀 hadrienj.github.io/posts/Essentia…

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Towards Data Science @TDataScience

5 years ago

Essential Math for Data Science: Area Under The ROC Curve and Integrals by @_hadrienj buff.ly/3k8CsGf

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hadrienj @_hadrienj

5 years ago

Get a taste of my book Essential Math for Data Science with my new blog article about integrals and area under the curve 🎉 : bit.ly/3jVBNb6

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Wazo - Cité internationale des Oiseaux @CiteOiseaux

5 years ago

Nous recrutons des bénévoles pour le projet Microfaune ! Aidez-nous à recenser les oiseaux grâce à l'intelligence artificielle, tout le monde est le bienvenu, en particulier les développeurs et les ornithologues (en herbe ou pas ;) ) merci d'avance pour vos retweets 🥰🐤🌳