Links tagged “machine-learning”
13 links, newest first.
machinelearningflashcards.com
Frequently Asked Questions Why do you need my email?
tryolabs.com
December is the time when you sit back and think about the accomplishments of the past year.
arxiv.org
Proposes learning the optimisation algorithm itself with an LSTM, rather than hand-designing the update rule.
distill.pub
Experiments in Handwriting with a Neural Network Several interactive visualizations of a generative model of handwriting.
alex.smola.org
SML: Scalable Machine Learning STATISTICS 241B, COMPUTER SCIENCE C281B Practical information Volume: 3 hours per week (3 credits) Time: Tuesday, 4-7pm (3 lectures /in one block) Location: 306 SODA Instructor: Alex Smola (available 1-3pm Tuesdays in Evans 418) TA: Dapo Omidiran Grading Policy: Assign…
stat.cmu.edu
Statistical Machine Learning 10-702/36-702, Spring 2016 LECTURES Date and Time: Tuesday and Thursday, 1:30 - 2:50 pm Location: HH B103 Larry Wasserman Office Hours: Tuesdays 3:00-4:00 Baker Hall 132F TUESDAY THURSDAY FRIDAY Jan 12 Jan 14 Jan 15 Review Function Spaces Jan 19 Jan 21 Jan 22 Concentrati…
github.com
TensorFlow workshop materials This repo contains materials for use in a TensorFlow workshop.
deeplearning.net
Welcome to Deep Learning Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence.
deeplearning.net
Welcome¶ Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
lasagne.readthedocs.io
© Copyright 2014–2015, Lasagne contributors.
GitHub - clips/pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
github.com
Pattern Pattern is a web mining module for Python.
radimrehurek.com
“Based on our experience with gensim on DML-CZ , we naturally opted to use it on a much bigger scale for similarity of fulltexts of scientific papers in the European Digital Mathematics Library.
r2d3.us
Finding better boundaries Let's revisit the 73-ft elevation boundary proposed previously to see how we can improve upon our intuition.








