机器学习常见算法

这篇文章是机器学习常用基本算法文章的一个索引,具体可以参见具体的文章链接
文章状态 alpha

  1. 决策树 Decision Tree
  2. 随机森林 Random Forest
  3. 逻辑回归 Logistic Regression
  4. 支持向量机 SVM
  5. 朴素贝叶斯
  6. K最近邻算法
  7. K均值算法
  8. Adaboost 算法
  9. 神经网络
  10. 马尔可夫

参考

  1. Kaggle: Learning Machine Learning
  2. CSDN: 轻松看懂机器学习十大常用算法
  3. 伯乐在线: 10 种机器学习算法的要点 (3的翻译)
  4. Essentials of Machine Learning Algorithms
  5. A Tour of The Top 10 Algorithms for Machine Learning Newbies

Train Husky 训练你的二哈

Rules | 规则

  • You are alpha dog or new pack leader for your dog | 让狗狗认识到你是「领头狗」,比他地位高
  • You have to teach him in a manner he will understand | 以狗狗理解的方式教育他
  • Word Association
    • Use the same word (command) for each behavior every time you teach it, adding food rewards and verbal praise to reinforce the positive. | 每次训练相同的行为使用相同的词语(命令),同时使用食物奖励和口头鼓励来增强训练效果。
    • The puppy will make the connection and will be motivated to repeat the behavior when he hears those key words. | 狗狗会讲命令和行为联系起来,同时会去重复行为当它们听到相同的词语(命令)
  • Timing | 时机
    • All dogs learn their lessons in the present tense. You have to catch them in the act (good or bad) in order to dispense rewards or discipline. | 所有狗狗都在当时学习,你必须抓现行,不管是为了奖励还是纪律
    • You have three to five seconds to connect with your puppy or he will not understand what he did wrong. | 你只有3-5秒时间,之后狗狗就忘了这事儿,不会明白它做错了什么
    • Use simple one-word commands and say them only once. | 命令最好,一个词,重复一次。
    • Always praise (and offer a treat ) as soon as your puppy does something good (or stops doing something naughty). | 每次狗狗做对了就要及时奖励,让它们知道自己是好狗
  • Never hit or kick your dog or strike him with a newspaper or other object. | 不要用报纸等打狗,不然它们会反社会
  • When praising or correcting, use your best doggie voice. | 鼓励或者训斥时使用不同的语气

Reference | 参考资料

  1. Siberian Husky Obedience Training
  2. 7TrainingTheSiberian

[LINK] Mutual Fund Explorer: A New Lightning Components Sample Application

original source: Mutual Fund Explorer: A New Lightning Components Sample Application

Highlight

  • Caching data with storable actions
  • Caching data with a custom cache
  • Creating a dropdown box from picklist values
  • Creating a dropdown box from a list of records
  • Event bubbling
  • Using application events
  • Using component events
  • Using a third-party JavaScript library
  • Using bound vs unbound expressions
  • Building admin-friendly components

Related Github repo: sfdx-dreaminvest