正文
）
Bayesians
- Folks who use probabilistic rules and their dependencies to make inferences. Probabilistic Graph Models (PGMs) are a generalization of this approach and the primary computational mechanism is the Monte-Carlo method for sampling distributions. The approach has some similarity with the Symbolist approach in that there is a way to arrive at an explanation of the results. One other advantage of this approach is that there is a measure of uncertainty that can be expressed in the results. Edward is one library that mixes this approach with Deep Learning.
（简要翻译：Bayes流- 依靠概率去做推理，使用诸如概率图模型[
Probabilistic Graph Models
]和蒙特卡洛算法之类的工具。与符号主义者相类似的是，Bayes流做人工智能方法也可以在逻辑上得到解释，而且还能量化不确定性。目前有结合Bayes方法和深度学习算法的库Edward。）
Kernel Conservatives
- One of the most successful methods prior to the dominance of Deep Learning was SVM. Yann LeCun calls this glorified template matching. There is what is called a kernel trick that makes an otherwise non-linear separation problem into one that is linear. Practitioners in this field live in delight over the mathematical elegance of their approach. They believe
the Deep Learners are nothing but alchemists conjuring up spells without the
vaguest of understanding of the consequences
.
（简要翻译：Kernel保守主义者-深度学习之前，SVM是最火的算法，当时使用Kernel Trick可以把非线性的问题映射到线性平面。Kernel保守主义者对于Kernel方法的优雅性大加赞许，并且认为搞深度学习的无非就是一帮自己也不懂自己搞出来的是什么东西的炼金术士。）
Tree Huggers
- Folks who use tree-based models such as Random Forests and Gradient Boosted Decision Trees. These are essentially a tree of logic rules that slice up the domain recursively to build a classifier. This approach has actually been pretty effective in many Kaggle competitions. Microsoft has an approach that melds the tree based models with Deep Learning.
（简要翻译：抱树者- 这帮人使用基于树的模型，例如随机森林，决策树等等事实上基于树的模型在Kaggle中的许多问题里很有用。微软有一个模型，融合了树模型和深度学习。）
Connectionists
- Folks who believe that intelligent behavior arises from simple mechanisms that are highly interconnected. The first manifestation of this were Perceptrons back in 1959. This approach died and resurrected a few times since then. The latest incarnation is
Deep Learning
.
（简要翻译：联结主义者- 一群相信智能行为来源于大规模神经元互联的人。第一波是1959年的Perceptron，之后经过起起伏伏，最近一次复兴就是目前风口浪尖的
深度学习
。联结主义内部也不是铁板一块，而是分为几个宗派：）
