Machine Learning

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

lstm

http://blog.echen.me/2017/05/30/exploring-lstms/

tools

python + libs

• Caffe deep learning framework

• SystemML- a Universal Translator for Big Data and Machine Learning
  • http://www.ibm.com/blogs/think/2015/11/24/introducing-a-universal-translator-for-big-data-and-machine-learning/
  • https://github.com/SparkTC/systemml/
  • http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
  • https://developer.ibm.com/open/systemml/

image labeling

https://github.com/Labelbox/Labelbox

sample data

http://archive.ics.uci.edu/ml/datasets/Smartphone-Based+Recognition+of+Human+Activities+and+Postural+Transitions

blogs

http://blog.datumbox.com/

Cool Projects

https://github.com/aficnar/slackpolice

Aerospace Controls Lab

http://acl.mit.edu/

https://www.youtube.com/channel/UCVTxuaJsdMrk3UEcHVll9Yg

Data leaks

When data associated iwth the data set gives away the target data.

Primarily of concern in competition.

Unexpected data.

refrence: https://www.coursera.org/learn/competitive-data-science/lecture/5w9Gy/basic-data-leaks

Future peaking - using time series data that's not in the target time period, for example in the future.

Meta data leaks - for example file meta data, zip file meta data, image file meta data.

information hidden in ID and hashes,

and information hidden in row order and possibly duplicate rows

Questions and Investigation

What are "ground truths"?

corteges - what is this word

/Courera's Competitive Data Science Course

Reading Room

• What a Deep Neural Network thinks about your #selfie

• Detecting tanks https://www.jefftk.com/p/detecting-tanks

• https://analyticsdefined.com/mining-enron-emails/

• https://www.coursera.org/learn/competitive-data-science/lecture/5w9Gy/basic-data-leaks

• https://opendatascience.com/blog/

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/

http://jupyter.org/install.html

https://medium.com/towards-data-science/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464