This essay gives advice to authors of papers on machine learning, although much of it
carries over to other computational disciplines. The issues covered include the material that …

Common arguments for including applications papers in the Machine Learning literature are
often based on the papers' value for advertising success stories and for boosting morale. For …

The emphasis of the book is on the question of Why–only if why an algorithm is successful is
understood, can it be properly applied, and the results trusted. Algorithms are often taught …

Machine learning, one of the top emerging sciences, has an extremely broad range of
applications. However, many books on the subject provide only a theoretical approach …

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field
ever further and making it one of the most compelling areas of computer science research …

Machine Learning saw its first issues appear in 1986. Naturally, the publication did not
spring fully grown from its founders' brows; we laid the first plans in 1983, during the Second …

Traditional books on machine learning can be divided into two groups-those aimed at
advanced undergraduates or early postgraduates with reasonable mathematical knowledge …

Machine learning methods are now an important tool for scientists, researchers, engineers,
and students in a wide range of areas. Many years ago, one could publish papers …

Common arguments for including applications papers in the Machine Learning literature are
often based on the papers' value for advertising success stories and for morale boosting. For …

A few useful things to know about machine learning Page 1 78 communications of the acm |
october 2012 | vol. 55 | no. 10 review articles Machine learning systeMs automatically learn …