This is a topic under computer-science.

Sub topics: statistical-learning

We have 3 learning paths for this topic: Syllabus: Machine Learning for Managers, Dorai Thodla, The Open Source Data Science Masters

WildML

wildml.com

Facebook Research

research.fb.com

InFERENCe

inference.vc

I Am Trask

iamtrask.github.io

Andrew Gambarella

atgambardella.github.io

Concept Search on Wikipedia

mccormickml.com

Aditya Prakash

iamaaditya.github.io

Off the Convex Path

offconvex.org

Arg min

argmin.net

The Spectator

blog.shakirm.com

Stephan Hoyer

stephanhoyer.com

Igor Babuschkin

babushk.in

Ryan Dahl

tinyclouds.org

Apple ML Journal

machinelearning.apple.com

Deep Dojo

deepdojo.com

KDnuggets

kdnuggets.com

Google Research

research.googleblog.com

Andrej Karpathy

karpathy.github.io

FastML

fastml.com

Peter Goldsborough

goldsborough.me

The Neural Perspective

theneuralperspective.com

DeepMath

www3.math.tu-berlin.de

Clarifai

blog.clarifai.com

I’m a Bandit

blogs.princeton.edu

Sander Dieleman

benanne.github.io

Bradford Cross

bradfordcross.com

Tim Head

betatim.github.io

Silicon Valley AI Lab

svail.github.io

Kaggle Blog

blog.kaggle.com

Machine Think

machinethink.net

Somatic

somatic.io

Brief History of Machine Learning

erogol.com

Lilian Weng

lilianweng.github.io

Distill

distill.pub

DeepMind

deepmind.com

Sourabh Bajaj

sourabhbajaj.com

Statistical Modelling, Causal Inference and Social Science

andrewgelman.com

Max Welling

scientificpearlsofwisdom.blogspot.nl

Inverse Probability

inverseprobability.com

TensorFlow

medium.com

Triangle Inequality

triangleinequality.wordpress.com

Christopher Olah

colah.github.io

OpenAI

blog.openai.com

MLWave

mlwave.com

Unintentionally Inconsiderate

rocknrollnerd.github.io

Machine Learning Theory

hunch.net

Sub-topics

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