Bayesian Technology

Application methodologies of the Bayesian theory are used to precede dada that are collected in wide range of activities. The Bayesian technologies play roles of estimating and modeling for analytic procedures. Moreover, the roles contain handling of prior knowledge, and Machine Learning methodologies are constructed based on the Bayesian inference.

Nowadays the applications of Big Data are driven to many business activities based on ITC technologies. Indeed the fundamental theory for the technics is keen, and the Bayesian discipline is a key driver. Of course, mathematics and probability theory make the consideration to basses.

The knowledge information technologies will spread applications of business information activities, and effective methods of decision making will be developed by using the technologies.

Making effort is beautiful.

5月22日(木)のつぶやき

　貝瀬 　徹　（兵庫県立大学）　@tetsu81　01:33

Visiting another country is to get inspiration for new ideas. Now a thought of overseas planning is meditating, in particular to Singapore.

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　貝瀬 　徹　（兵庫県立大学）　@tetsu81　08:09

Management Methods for Innovation goo.gl/QtHJhe

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　貝瀬 　徹　（兵庫県立大学）　@tetsu81　08:20

Everyday meditating is an effective way to create ideas. Absolutely, the combination between writing and thinking is needed.

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MOT

Strategic developments for technological industries make the economic growth in own country. However, multinational companies are more there, and then meaning of the economic growth is difficult, and it has complexity.

In the divergent situations of global business, MOT will be made the necessary more and more. In particular, the electronic industry is high competitive, and rapid changes have been continuing. Advanced management of technology is a key driver for the situation.

Ability of Statistics

Statistical methods are used in business processes, and the skill-up of business statistics/analytics is necessary for a business person, where “skill-up” means improving of individual ability.

Moreover, professions of Business Analytics are necessary in many companies, and educational systems for the professional discipline will be growing up more.

Indeed, the graduate courses for Business Analytics are offered from high-level business schools, and the professions of analytical methodologies are spreading in global business circumstances. The discipline of statistics is making the important more and more.

Making effort is beautiful.