Machine Learning: Difference between revisions
| Line 23: | Line 23: | ||
:https://medium.com/rants-on-machine-learning/the-unreasonable-effectiveness-of-random-forests-f33c3ce28883 | :https://medium.com/rants-on-machine-learning/the-unreasonable-effectiveness-of-random-forests-f33c3ce28883 | ||
;Nearest Neighbors Classification | ; Nearest Neighbors Classification | ||
:http://scikit-learn.org/stable/modules/neighbors.html | : http://scikit-learn.org/stable/modules/neighbors.html | ||
; lstm | |||
: http://blog.echen.me/2017/05/30/exploring-lstms/ | |||
== tools == | == tools == | ||
Revision as of 13:57, 3 November 2017
getting started
google://getting started with machine learning
https://www.kaggle.com/wiki/GettingStartedWithPythonForDataScience - in progress
https://www.quora.com/I-want-to-learn-machine-learning-Where-should-I-start
http://thunderboltlabs.com/blog/2013/11/09/getting-started-with-machine-learning/
http://machinelearningmastery.com/machine-learning-for-programmers/
https://www.kaggle.com/dfernig/reddit-comments-may-2015/the-biannual-reddit-sarcasm-hunt/code
course: at coursera https://www.coursera.org/learn/machine-learning/home/week/1
understanding machine learning theory algorithms
algorithms
- random forest
- https://medium.com/rants-on-machine-learning/the-unreasonable-effectiveness-of-random-forests-f33c3ce28883
- Nearest Neighbors Classification
- http://scikit-learn.org/stable/modules/neighbors.html
tools
python + libs
- SystemML- a Universal Translator for Big Data and Machine Learning
sample data
blogs
Cool Projects
https://github.com/aficnar/slackpolice
Reading Room
- What a Deep Neural Network thinks about your #selfie
- Detecting tanks https://www.jefftk.com/p/detecting-tanks
Chapter
https://github.com/FlorianMuellerklein/Machine-Learning
Improving our neural network (96% MNIST) https://databoys.github.io/ImprovingNN/
https://iamtrask.github.io/2015/07/12/basic-python-network/
https://plot.ly/python/create-online-dashboard/
https://www.anaconda.com/download/
