|
|
| （相同用户的12个中间修订版本未显示） |
| 第1行： |
第1行： |
| | ==教学资料== | | ==教学资料== |
| − | *[[教学参考-10|教学参考]] | + | *[[教学参考-11|教学参考]] |
| − | *[http://aigraph.cslt.org/courses/10/course-10.pptx 课件] | + | *[http://aigraph.cslt.org/courses/11/course-11.pptx 课件] |
| − | *小清爱提问：计算机如何证明定理？ [https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247487114&idx=1&sn=6868a5aaa279f6527beab6e202324adf&chksm=c3080448f47f8d5e4150aa518c7929766f07efccb30e5a52c5e0176b384624560f80c66f63aa&scene=178#rd] | + | *小清爱提问：人工智能与机器学习是什么关系？ [https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486822&idx=1&sn=026419f790745317c8af3acf058d20b0&chksm=c30807a4f47f8eb29aa997c03626f895ff39be8caf460c22685023c1e276b7149efaa84eeaeb&scene=178#rd] |
| − | *小清爱提问：什么是知识图谱？[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247487116&idx=1&sn=70d27033977c84cd16632666567bf54a&chksm=c308044ef47f8d5809db86564564c9cf498aaef5308d64bdbb8575482745aebaf077cf0d15ed&scene=178#rd]
| + | |
| − | *小清爱提问：什么是专家系统[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247487004&idx=1&sn=4becf9510c64f3d639d61a2ec89145e5&chksm=c30804def47f8dc8e4755b0c7c07164f9b1c7be313dc105d5d766b4d4f330b869d936d4ae516&scene=178#rd]
| + | |
| − | | + | |
| | | | |
| | | | |
| | ==扩展阅读== | | ==扩展阅读== |
| | | | |
| − | * 流动智力与固定智力[https://baike.baidu.com/item/%E6%B5%81%E5%8A%A8%E6%99%BA%E5%8A%9B/6108654?fr=aladdin][https://quanmin.baidu.com/sv?source=share-h5&pd=qm_share_search&vid=4604542092761042721] | + | * 维基百科：学习[http://aigraph.cslt.org/courses/11/Learning.pdf][http://aigraph.cslt.org/courses/11/学习.pdf] |
| − | * 雷蒙德·卡特尔 [http://aigraph.cslt.org/courses/10/雷蒙德·卡特尔.pdf]
| + | * 维基百科：机器学习[http://aigraph.cslt.org/courses/11/机器学习.pdf][http://aigraph.cslt.org/courses/11/Machine_learning.pdf] |
| − | * 百度百科：自动定理证明[https://baike.baidu.com/item/%E8%87%AA%E5%8A%A8%E5%AE%9A%E7%90%86%E8%AF%81%E6%98%8E/3155595] | + | * 维基百科：亚瑟•塞缪尔 [http://aigraph.cslt.org/courses/11/Arthur_Samuel.pdf] |
| − | * 百度百科：逻辑理论家[https://baike.baidu.com/item/%E9%80%BB%E8%BE%91%E7%90%86%E8%AE%BA%E5%AE%B6/22387669]
| + | * 百度百科：机器学习[https://baike.baidu.com/item/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/217599] |
| − | * 机器之心：逻辑理论家[https://www.jiqizhixin.com/graph/technologies/597094cc-d100-4834-98c3-00e905d3f79c]
| + | * 植物也学习 [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133544/] |
| − | * 百度百科：启发式搜索：[https://baike.baidu.com/item/%E5%90%AF%E5%8F%91%E5%BC%8F%E6%90%9C%E7%B4%A2/8944170][http://baike.baidu.com/l/WTIt6C19]
| + | |
| − | * AI100问：什么是alpha-beta剪枝算法[http://166.111.134.44:7777/caiyq/ai100/pdf/AI-100-45-%E4%BB%80%E4%B9%88%E6%98%AF%CE%B1-%CE%B2%E5%89%AA%E6%9E%9D%E7%AE%97%E6%B3%95.pdf] | + | ==视频展示== |
| − | * 百度百科：专家系统 [https://baike.baidu.com/item/%E4%B8%93%E5%AE%B6%E7%B3%BB%E7%BB%9F/267819][http://baike.baidu.com/l/hWwd1nSb] | + | |
| − | * 百度百科：爱德华·费根鲍姆[https://baike.baidu.com/item/%E7%88%B1%E5%BE%B7%E5%8D%8E%C2%B7%E8%B4%B9%E6%A0%B9%E9%B2%8D%E5%A7%86/7868210][http://baike.baidu.com/l/Kfxgcfiz] | + | * What is machine learning [http://aigraph.cslt.org/courses/11/Machine_Learning.mp4] |
| − | * 百度百科：知识表示[https://baike.baidu.com/item/%E7%9F%A5%E8%AF%86%E8%A1%A8%E7%A4%BA/9873828?fr=aladdin][http://baike.baidu.com/l/MkJUKtYO] | + | * How machine learning works [http://aigraph.cslt.org/courses/11/how-ml-works.mp4] |
| − | * 百度百科：知识图谱[https://baike.baidu.com/item/%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1/8120012?fr=aladdin][http://baike.baidu.com/l/YcRFOXgz] | + | |
| | | | |
| | ==演示链接== | | ==演示链接== |
| | | | |
| − | *五子棋游戏演示[http://8.136.130.62/#/][https://github.com/lihongxun945/gobang] | + | * 线性回归 [https://www.geogebra.org/m/AuRrgqNV] |
| | | | |
| | | | |
| | ==开发者资源== | | ==开发者资源== |
| | | | |
| − | *五子棋python代码[https://cloud.tencent.com/developer/article/1741438?from=article.detail.1739606] | + | * Linear regression python code [https://www.geeksforgeeks.org/linear-regression-python-implementation/] |
| − | *五子棋极简版[https://github.com/aooy/gobang]
| + | |
| | | | |
| | ==高级读者== | | ==高级读者== |
| − | | + | * Arthur Samuel, Some studies in machine learning using the game of checkers, IBM Journal of Research and Development. 44: 206–226. doi:10.1147/rd.441.0206. [https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.2254] |
| − | * Wikipedia： Expert system [http://aigraph.cslt.org/courses/10/Expert_system.pdf] | + | * 知乎（化简可得）：用人话讲明白线性回归LinearRegression [https://zhuanlan.zhihu.com/p/72513104] |
| − | * Wikipedia: Knowledge engineering [http://aigraph.cslt.org/courses/10/Knowledge_engineering.pdf]
| + | * 百度百科：线性回归[https://baike.baidu.com/item/%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/8190345] |
| − | * Wikipedia: Knowledge graph [http://aigraph.cslt.org/courses/10/知識圖譜.pdf]Knowledge graph [http://aigraph.cslt.org/courses/10/Knowledge_graph.pdf]
| + | * 王东，机器学习导论,第一章“绪论”，第二章“线性模型”[http://mlbook.cslt.org] |
| − | * Google: Introducing the Knowledge Graph: things, not strings[https://blog.google/products/search/introducing-knowledge-graph-things-not/] | + | |
| − | * Knowledge Representation in AI | Semantic Networks | Artificial Intelligence Tutorial | Edureka [http://aigraph.cslt.org/courses/10/Knowledge_Representation.mp4] | + | |
