Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A learner can take advantage of examples to capture characteristics of interest of their unknown underlying probability distribution. Data can be seen as examples that illustrate relations between observed variables. A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data; the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too large to be covered by the set of observed examples . Hence the learner must generalize from the given examples, so as to be able to produce a useful output in new cases. Artificial intelligence is a closely related field, as are probability theory and statistics, data mining, pattern recognition, adaptive control, computational neuroscience and theoretical computer science.
Squat value?
Zero sum game
Learn by osmosis
Down but not out
From Kundera to Dostoyevsk
Too much TV not a good thing
Face the reality of AIDS prevention
Thieves of the State's coal fields
Imagine a nativity where Jesus Christ was born in China
Bringing theater to the masses
Appraisals need a fresh look
To look or not to look is the question
See the light of day?
Getting over the hump
Challenging a medical statement
In and of itself
Anything goes?
Chunyun provides a glimpse of China's reality
See the light?
All hail China's new job-seekers
Small Talk
Chinese defy natural calamities
Oh, what a bummer!
When things don't add up
Words and rhetoric
Jobs for college graduates
Off the charts
Try as he may
Come through?
Improving memory for foreign language vocabulary
不限 |
英语教案 |
英语课件 |
英语试题 |
不限 |
不限 |
上册 |
下册 |
不限 |