Sebanyak 1044 item atau buku ditemukan

Hukum perbankan nasional Indonesia

ditinjau menurut Undang-Undang no. 7 tahun 1992 Tentang Perbankan sebagaimana telah diubah dengan Undang-Undang no. 10 tahun 1998, dan Undang-Undang no. 23 tahun 1999 jo. Undang-Undang no. 3 tahun 2004 Tentang Bank Indonesia

Legal aspects of banks and banking in Indonesia according to Indonesian laws on banking and central bank.

Legal aspects of banks and banking in Indonesia according to Indonesian laws on banking and central bank.

Belajar dari mistik perjuangan para korban

pertanggungjawaban moral terhadap suaka kemanusiaan korban insiden berdarah 27 Juli 1996

Political conditions and human rights in Indonesia; defense at the Bekasi Court criminal trial of I. Sandiyawan Sumardi, Indonesian Catholic priest and his brother Benny Sumardi, accused of hiding activists of Partai Rakyat Demokratik, the Peoples Democratic Party.

Dengan demikian kami berkesimpulan, adalah kewajiban negara untuk
menjawab krisis kehidupan yang menimpa kaum miskin urban yang selama ini
telah berjuang secara mandiri untuk mempertahankan hidupnya. Adapun
caranya: 1.

MCSE Core Required Exams in a Nutshell

The Required 70: 290, 291, 293 and 294 Exams

Highlighting essential nuggets of information related to the skills measured in the Microsoft Certified Systems Engineer (MCSE) exams, this book is an easy reference and a great study aid.

Highlighting essential nuggets of information related to the skills measured in the Microsoft Certified Systems Engineer (MCSE) exams, this book is an easy reference and a great study aid.

Dakwah Islam dan perubahan sosial

seminar nasional dan diskusi Pusat Latihan, Penelitian dan Pengembangan Masyarakat (PLP2M)

seminar nasional dan diskusi Pusat Latihan, Penelitian dan Pengembangan
Masyarakat (PLP2M) Amrullah Achmad ... masyarakat desa, ada massa atau
elite; kemudian juga ada kelompok-kelompok etnis seperti orang Minang, orang
Betawi ...

Hackers

Heroes of the Computer Revolution - 25th Anniversary Edition

This 25th anniversary edition of Steven Levy's classic book traces the exploits of the computer revolution's original hackers -- those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, and pushed the world in a radical new direction. With updated material from noteworthy hackers such as Bill Gates, Mark Zuckerberg, Richard Stallman, and Steve Wozniak, Hackers is a fascinating story that begins in early computer research labs and leads to the first home computers. Levy profiles the imaginative brainiacs who found clever and unorthodox solutions to computer engineering problems. They had a shared sense of values, known as "the hacker ethic," that still thrives today. Hackers captures a seminal period in recent history when underground activities blazed a trail for today's digital world, from MIT students finagling access to clunky computer-card machines to the DIY culture that spawned the Altair and the Apple II.

This 25th anniversary edition of Steven Levy's classic book traces the exploits of the computer revolution's original hackers -- those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, ...

Programming Collective Intelligence

Building Smart Web 2.0 Applications

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, ...