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.

super charged neurons in AI

I am working in the Artificial Intelligence area. I am thinking of two events happened to me.

1) I have the same dream over many years. While writing the post, I could not recall what exactly the dream now.

2) While I drove to pass a large field of peach flowers, I recalled the moment that I biked to high school and passed a large field of peach flowers.

Both events normally would not come to my mind at all. It seems deep in the brain, there are some super charged neurons which store some unique information, can be trigged by some specific outside stimulus.

I believe in the AI algorithm design, we should add such neurons. It stays there for a specific event, occasionally trigged by a specific type of stimulus.