word2vec tutorials and references

This is a nice way to get exposed to word2vec and to reduce the number of tabs in my browser:-)

References	Reference Type
Making sense of word2vec tutorial	Blog
Insights on word2vec	Blog
word2vec Explained	Paper
word2vec an Introduction	Blog
Word2Vec Tutorial Part I: The Skip-Gram Model	Blog
Word2Vec Tutorial Part II: The Continuous Bag-of-Words Model	Blog
Evaluation methods for unsupervised word embeddings	Paper
Improving Topic Models with Latent Feature Word Representations	Paper
Deep Learning, NLP, and Representations	Blog
What Should I Know Before Taking On word2vec	Reddit Post
CS224d: Deep Learning for Natural Language Processing	Course
word2vec code	Code

Convolutional Nets

Resources that give great intuition:

Relates to NLP
To understand convolution
Tutorial

GenSim and LDA

This is a nice little simple tutorial on using GenSim to exercise LDA.
GenSim LDA Tutuorial

Learn to speak or teach better in 30 minutes

This is a great article by Andrew Ng.

Deep Learning for Big Data

Deep Learning Tutorial

Beginning deep learning with 500 lines of Julia

The link.

Markov and Hidden Markov Model Tutorial

Tutorial

Large Open Data Sets

Link 1 which is a list of large open data sets.
Link 2 - Common Crawl Corpus Amazon
Link 3 - Memtracker
Link 4 - Apache Access Logs
Link 5 - Clueweb09 Wiki
Link 6 - Click dataset
Link 7 - REDD
Link 8 - NASA
Link 9 - Dartmouth Atlas of Health Care
Link 10 - Data.gov Catalog
Link 11 - Data.gov Catalog - Complete
Link 12 - Awesome Public Datasets

Papers that discuss Wild Big Data

Data in the Wild

EM Tutorial

EM Tutorial

Using PageRank to Locally Partition A Graph

Using PageRank to Locally Partition A Graph

An Introduction to Conditional Random Fields

CRF Examples...

t-SNE

t-Distributed Stochastic Neighbor Embedding (t-SNE)

A Brief Introduction to Graphical Models and Bayesian Networks

http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html

AI is awesome

http://dataconomy.com/eve-stumbles-upon-a-possible-cure-for-malaria-eve-is-a-robot-scientist/

Jeremy Howard: The wonderful and terrifying implications of computers that can learn

Advanced Machine Learning with scikit-learn

My first teaching experience

I would have to say it was definitely a learning experience. I taught a database course to 40 mostly seniors and mostly male students. I spent the semester researching and learning which techniques were best used for teaching. I also learned how to create my own lectures, projects and exams. This experience definitely gave me a taste of what it would be like to teach professionally. I also learned a bit about myself. By the end of the semester I no longer felt uncomfortable with speaking in front of a group or answering questions and challenges on the fly. I also was impressed with many of the students in my class.

Now it is back to research!

And maybe teaching again in the future once I recover from this first one.