原创 非支配解Non-dominated solution/帕累託解Pareto set
當目標函數處於衝突狀態時，就不會存在使所有目標函數同時達到最大或最小的最優解，於是我們只能尋求非劣解（又稱非支配解或帕累託解） 可以通過定義評價函數進一步最Pareto set進行評價，得到在Pareto set的最佳滿意解
2020-06-16 02:52:31
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原创 Python self是什麼
類變量和實例變量 類變量可以被所有的實例使用 所有實例得到的類變量相同 實例變量屬於實例 Class SomeClass: variable_1 = “ This is a class variable” va
2020-02-24 00:02:57
原创 1.Two Sum
class Solution(object): def twoSum(self, nums, target): """ :type nums: List[int] :type ta
2020-02-24 00:02:57
原创 13. Roman to Integer
""" Roman numerals are represented by seven different symbols: I, V, X, L, C, D and M. Symbol Value I
2020-02-24 00:02:57
原创 進化計算/進化算法×傳統數學優化方法×機器學習
進化算法VS傳統數學優化方法 進化算法是基於種羣的搜索 進化算法是隨機的搜索算法，不需要梯度，不需要解析的目標函數 進化算法優勢 適用於沒有解析目標函數和無法得到目標函數梯度信息的優化問題 基於種羣，一次運行得到一組解，
2020-02-24 00:02:57
原创 數組和鏈表-Array and Linked list
數組和鏈表 數組 數組必須相連 若超出預留空間（添加元素）：預留更多空間 缺點： 用不上，浪費內存 超出內存要轉移 鏈表 鏈表中的元素可以存儲在內存任何地方，鏈表的每個元素都存儲了下一個元素的地址，從而使一系列隨機的內存地址串在一
2018-10-27 02:52:26
原创 動態規劃-Dynamic planning
動態規劃(dynamic planning) WIKI Dynamic programming is both a mathematical optimization method and a computer programming m
2018-10-27 02:52:26
原创 提升算法-boosting algorithm
WIKI Boosting is a machine learning ensemble meta-algorithm for primarily reducing bias, and also variance[1] in superv
2018-10-27 02:52:26
原创 二分查找-Binary search
二分查找 WIKI In computer science, binary search, also known as half-interval search,[1] logarithmic search,[2] or binary c
2018-10-27 02:52:26
原创 支持向量機-support vector machines
WIKI In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning model
2018-10-27 02:52:26
原创 邏輯斯諦迴歸與最大熵模型-logistic regression and maximum entropy model
Logistic迴歸模型 WIKI In statistics, the logistic model (or logit model) is a statistical model that is usually taken to ap
2018-10-27 02:52:26
原创 K最近鄰算法-k-nearest neighbors algorithm
K最近鄰算法(k-nearest neighbors algorithm) WIKI In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-pa
2018-10-27 02:52:26
原创 K近鄰法-k-nearest neighbor,KNN
WIKI In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classificatio
2018-10-27 02:52:26
原创 感知機（Perceptron）
WIKI In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers (functions that
2018-10-27 02:52:26
原创 決策樹-decision tree
WIKI Decision tree learning uses a decision tree (as a predictive model) to go from observations about an item (represe
2018-10-27 02:52:26