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Tuesday, May 31, 2016

Getting to Yes: Negotiating Agreement Without Giving In by RogerFisher, William L. Ury

Focus on both principles and incentives of each other, not one's position. This is a well-balanced book, in terms of theories and examples.


[amazon.com]
Kindle Version

[amazon.co.jp]
Kindle Version

Monday, May 23, 2016

Zero to One / Peter Thiel

To work on an eternal value-added process, don't do a commodity business; hold a monopolistic influence in a market.

Humans and computers are good at different things; a computer is just a tool to help a human (pursue a higher productivity), not a rival to replace a human.

Seven questions for a successful business:
1. Engineering
Breakthrough, not a gradual change
2. Timing
Appropriate timing to begin with?
3. Monopoly
Start with a small market that you can be dominant.
4. Team
Build a team.
5. Sales & Marketing
Not only product development, but sales & marketing
6. Eternity
A right positioning to survive in the market in the next 10-20 years?
7. Hidden truth
Nobody but you noticed the unique truth?


[Amazon.com]
Kindle Version

[Amazon.co.jp]
Kindle Version

Wednesday, May 11, 2016

The Big Short by Michael Lewis

Markets could go too far without proper regulations. Greed is a precondition of financial markets because it drives the market. Having appropriate incentive systems under the precondition is a practical solution to avoid and/or mitigate impacts from financial crises.

To be a good investor, you have to be realistic and do your own deep research to see facts and doubt about what has been believed.

[Amazon.com]
The Big Short: Inside the Doomsday Machine Kindle Edition by Michael Lewis

[Amazon.co.jp]
The Big Short: Inside the Doomsday Machine Kindle Edition by Michael Lewis

Sunday, May 1, 2016

Creativity is connecting dots.

Creativity is not creating something from scratch; rather, it's connecting dots, which are somebody's findings, knowledge, experience, works, and so on.

Deep Learning (Regression, Multiple Features/Explanatory Variables, Supervised Learning): Impelementation and Showing Biases and Weights

Deep Learning (Regression, Multiple Features/Explanatory Variables, Supervised Learning): Impelementation and Showing Biases and Weights ...