The Boss: AI, give me the file.

AI: Boss, may I know which file?

The Boss: You don’t known which file? You have been with me 5 days already, you still don’t know what I am talking?

AI: Boss, can you describe which file it is, so that I can help?

The Boss: Useless AI, don’t you know you are replaceable? You are fired!!

(Next day)

The Boss: AI, tell me a joke.

In my previous post, I wrote about Lean Startup. And I found that it is very interesting that I have come through these things.

• S.M.A.R.T (specific, measurable, actionable, realistic, time-bound) (post)
• Machine Learning - Deep Learning - Convolutional Neural Network (CNN)
• Statistics
• Kaizen (改善法) (post)
• Agile development. Test development development (TDD)
• Research study

When I read The Lean Startup (Ries, 2011), I learn about lean manufacturing. Then only I discovered that kaizen is also part of the lean manufacturing. Wow! I realise that, all of these things are related. And the core of the concept is, “scientific learning”.

Machine learning is one of my favourite studies (though I am not very knowledgeable in machine learning). It impressed me very much during my first time entering the lecture of the course. I was wondering how can a machine learn? I know how searching and optimisation work, they are just trial-and-error to get almost all the possibilities. But how a machine learn?

How does it work?

The simplest example is using the perceptron. It is a very basic Artificial Neural Network (ANN) concept. It can be used to learn a very simple pattern. (All the learnings are related to the pattern.) Perceptron simulates the neurons of the brain. In human, when we learn something, the connections of the neurons become stronger. In perceptron, the connections of the neurons are represented as the “weights”. The stronger the weight, the stronger the connection.

Referring to my previous post about gambler’s fallacy, I was totally wrong after I pondering more about this.

In an example of tossing a coin, we know that to get a “tail” is 0.5 probability and “head” is 0.5 probability. That means, each result should fairly appear once. And in the experiment, if we tossed the coin 1000 times, then we will get the result of “tail” appeared around 500 times and “head” another 500 times.

There are three ways of prayer according to Catechism of the Catholic Church.

1. Vocal prayer 口祷
2. Meditation 默想（运用思维、想像、情感、渴望）
3. Contemplation 心祷

What is the difference between meditation and contemplation? The following part is a summary from here.

Contemplative prayer is more passive or sublime experience of God. Meditative prayer is more from our work of seeking God (though with the aid from God). Contemplative prayer can be distinguished as the pure work from God.

This is an interesting thing. I love the tree so much. The Knowledge Tree here I mean is not referring to the Tree of Knowledge of Good and Bad.

Tree is a graph theory. The powerfulness of tree, is that almost any data structure can be represented into the tree. In order to store the data, we can use a single variable, for a single data. In order to store a list of data, we can use array and associative array (or hash, map, dictionary), list, vector, and others. Another powerful data structure which I like is the 2D array, especially used in matrix calculation. The 2D array represents the data in the table form. It is very useful in database. An image can also be treated as 2D array. Comparing the tree to the matrix, the tree is possible to represent the matrix (though it is not preferred).

The probability subject is a very difficult subject to me. This is because it involves estimation of all the possible events. Therefore, it involves the combination and permutation. And there is no exact formula for different situations. It also involves statistics.

Gambler’s fallacy, is a very good notion. To simplify it, gambler’s fallacy is a belief that the next outcome will be different if the observed outcome is repeated consecutively, where these events are actually independent. The best example is tossing the coin, which has the probability of 0.5 for head and 0.5 for tail. Because tossing the coin first time will not affect the second time, the probability to get the head or tail is always same.

I want to learn the speed reading skill. So, I look for the resources, and keep practising. The following is the summary on what I learn about speed reading, especially based on the following video.

Average reading speed is 150-250 wpm (words per minute).

Most of the problem of reading is regression, that is go back to read again. To avoid this problem, if one sentence we don’t understand, we just continue. Only go back if the whole paragraph is not understandable. To make the reading continuously, one of the way is using a finger or any pointer to go through the words. There are several reasons. One of the reason is that our eyes always distracted by the thing it is moving. Another reason is help us to focus. Also, using finger, we will not go back to read again. This is best way used in speed drill (refer below).

As a Christian, I always think about the meaning of life. The meaning of life means the reason of living and the purpose to live. Even some Christians, they will relate everything with a meaning.  That means, whatever incident is happened, there is a reason behind, the incident is happened with a purpose. If a person broke a vase, there is also a meaning, may be the vase must be broken. If a person woke up late, may be this is the reason that he could avoid from an accident.

Visual sensory and audio sensory are the two most frequently used sensory systems. However, thinking is a very subjective process, because each one of us has different perceptions towards the stimuli in our environment. And,  some people are right-brain thinking, and other are left-brain thinking. Some people think logically; other creatively.

I am thinking about this question, because I tried to search the information from internet, but cannot find what I want, may be I used incorrect keywords.