baskara wrote: > On 1/14/06, Oskar Syahbana <[EMAIL PROTECTED]> wrote: > > > > http://www.businessweek.com/magazine/content/06_04/b3968001.htm > > > > Tampaknya memang sudah saatnya dunia pendidikan kita (eh ga cuma > > sebatas pendidikan doang sih) menekankan betapa matematika bukan hanya > > sekedar hitung - hitungan belaka. > > > > Ada ga rekan - rekan di sini yang memiliki buku/link/resource tentang > > math sebagai tools untuk analisis? > > Analisis apa dulu? > Untuk yang bergeraknya mulai dari hal2 yang praktis, membaca buku2 > analisis matematika membutuhkan waktu yang relatif lama untuk memahami > arti simbol2 tertulis.
bang oskar/bang baskara, mungkin riset dari uc berkeley ini berhubungan: http://www.coe.berkeley.edu/labnotes/0106/radlab.html perhatikan "analyzing previous results" dan "analyzing patterns".... .......... In October, five robotic vehicles drove themselves more than 130 miles across the Mojave Desert, making international headlines and marking a milestone in machine learning. Related to artificial intelligence, statistical machine learning refers to methods that enable a computer to improve its performance by analyzing previous results. Now, a group of UC Berkeley researchers hope to bring the same technology into cyberspace. The new Reliable, Adaptive and Distributed systems Laboratory (RAD Lab), funded with $7.5 million from Google, Microsoft, and Sun Microsystems, is developing technology that leverages the power of statistical machine learning so that one person can create the next eBay, Amazon, or even Google, by him or herself. "eBay has changed the world but they had to hire hundreds of really smart people to pull it off," says computer science professor David Patterson, founding director of the RAD Lab. "Wouldn't it be great if one person could create a eBay-sized system without an eBay-sized organization?" To make this vision a reality, the RAD Lab, which falls under the Center for Information Technology Research in the Interest of Society (CITRIS), must weave together innovations in such diverse disciplines as networking, computer architecture, systems theory, and statistics. To that end, Patterson is collaborating with a handful of UC Berkeley professors who are recognized as pioneers in those areas: Randy Katz, Scott Shenker, Ion Stoica, Armando Fox (joining Berkeley next summer), and Michael Jordan, who holds a joint position in computer science and the Department of Statistics. -cut-
