adversarial machine learning (1)

This series are to help readers to get familiar with different adversarial attacks in the adversarial machine learning domain.

We are going through different approaches introduced in https://adversarial-robustness-toolbox.readthedocs.io/en/latest/index.html

interpreting black-box machine learning models

https://youtu.be/lpuvHJipm0s

How To Improve Deep Learning Performance

https://machinelearningmastery.com/improve-deep-learning-performance/

Role of a Data Science Manager

https://medium.com/sequoia-capital/role-of-a-data-science-manager-2c69264511d3

NLP topics (1)

There are many areas using NLP technique to understand texts and provide intelligence to customers.
Here are some:

1. word cloud
2. heat map
3. sentiment analysis
4. graph analysis
5. cluster analysis
6. classification
7. auto text generation
8. text caption for images
9. generating image from text

human in computer world

We have been talking about the reinforcement learning a lot, especially after Google's deep mind defeated human Go players.

In another angle, how to really describe a human in a computer world? How can the human grow from infant, to toddler, to youth and adult?

What are the environment? What are the reward/feedback?

If we could record a twin's growth path, mainly image, audio, sensory, etc, that will be cool to analyze, model and create a virtual human growth trajectory.