Pigeon
发表于 2025-3-25 03:47:40
http://reply.papertrans.cn/83/8294/829393/829393_21.png
Grating
发表于 2025-3-25 10:56:59
Systemic Machine Learning associate with different scenarios to build context. In different contexts, same information can lead to different out come and can help in producing different possibilities. In linguistic sense same word may have different meanings as per context.
DOLT
发表于 2025-3-25 14:45:52
Reinforcement and Deep Reinforcement Machine LearningData Sciences emerged out of that. The data is collected from various sources. It is collected from big hospitals, data repositories, from cookies running in your machines, intelligent applications running in your devices. It can be crowd sourcing, intelligent crowd sourcing, cognitive data sharing,
opprobrious
发表于 2025-3-25 17:35:03
http://reply.papertrans.cn/83/8294/829393/829393_24.png
sinoatrial-node
发表于 2025-3-25 23:14:15
http://reply.papertrans.cn/83/8294/829393/829393_25.png
Juvenile
发表于 2025-3-26 02:45:23
http://reply.papertrans.cn/83/8294/829393/829393_26.png
无法破译
发表于 2025-3-26 08:17:33
http://reply.papertrans.cn/83/8294/829393/829393_27.png
清唱剧
发表于 2025-3-26 09:04:33
Understanding Machine Learning Opportunitiesmation and retrieving the information timely. It was more like information acquisition to information retrieval. Let us take an example of a student who claims that he learned deep learning. What does that mean? Does he understand the concept or just few terminologies? Can he apply these concepts? Can he expand these concepts?
Confess
发表于 2025-3-26 16:18:46
Co-operative and Collective Learning for Creative ML learning is a concept where there is an ensemble of learners and based on algorithm it is used. Ensemble learner has more than one learner—even boosting is a concept where more than one learner is learning. Sometimes a set of weak classifiers is used for building strong classifier.
conservative
发表于 2025-3-26 17:14:42
http://reply.papertrans.cn/83/8294/829393/829393_30.png