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数据小鱼Rexa
目前已经毕业啦
就职于西北的一家大数据公司
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Machine learning(9): Quiz 9
Correct answer : bAnalysis:Analysis:Correct answer: DAnalysis:Analysis:原创 2019-12-10 04:27:14 · 158 阅读 · 0 评论 -
Machine learning(9): Regularisation
Feature selectionRegularisation: general ideaStructural risk minimizationSVMs and structural risk minimisationL2 and L1 penalizationThe pictures of L1 and L2 penalizationBias and var...原创 2019-12-10 04:16:57 · 223 阅读 · 0 评论 -
Machine learning(9): Bias-variance tradeoff
Consequences of noiseAlleviate effect of noiseThe example of linear regressionThe summary of these picturesThe trend of Bias and variance in model complexityThe trend of Bias and varian...原创 2019-12-10 03:45:50 · 200 阅读 · 0 评论 -
Machine learning(8): Quiz8
Correct answer: a2Analysis:Correct answer: bAnalysis:Analysis:Correct answer:bAnalysis:Analysis:Correct answer:bAnalysis:原创 2019-12-04 03:53:07 · 223 阅读 · 0 评论 -
Machine Learning(8): Reinforcement learning algorithm
Model-based learningValue iterations exampleThe difference of two methodsDeterministic Model-Free learningSome examples原创 2019-12-04 03:37:36 · 238 阅读 · 0 评论 -
Machine Learning(8): Reinforcement learning
Reinforcement learningProblem-abstractionThe processing of MarkovThe propery of MarkovThe policyValue functionThe example of Value functionBellman’s Expectation EquationOptimal policy...原创 2019-12-04 03:18:42 · 276 阅读 · 0 评论 -
Machine Learning(7) : Quiz7
Question 1Correct answer: CAnalysis:Qusetion 2Correct answer: AAnalysis:Question 3Correct answer: CAnalysis:Question 4Analysis:Question 5原创 2019-11-26 04:28:51 · 218 阅读 · 0 评论 -
Machine learning(7): Unsupervised learning-------CLUSTERING
Approaches to ClusteringK-MEANS METHODHow to evaluate Clusterings ?Overall CohesionCOBWEBCategory UtilityCOBWEB’S CLUSTERING PROCEDURE原创 2019-11-26 03:25:57 · 204 阅读 · 0 评论 -
Machine learning(7): Unsupervised learning----ASSOCIATION RULES
Confidence (accuracy)Support (coverage)Association ruleStrong rulesThe Apriori AlgorithmThe example of this algorithmConfidence ThresholdsRule GenerationCalculate the probability o...原创 2019-11-26 02:21:15 · 275 阅读 · 0 评论 -
Machine learning(5): Quiz 5
Testing a classifier’s performance using a 10-fold cross-validation scheme produced the following confusion matrix:Please compute the following performance measures (as ratios ∈[0,1], not as percen...原创 2019-11-20 02:39:30 · 421 阅读 · 0 评论 -
Machine learning(5): Evaluating learning methods
CROSS-VALIDATIONWe could divied the set of data into 10 parts. The nine parts consist the traning set and a part of set is as a test set.The Impact of Sample Size on Confidence LimitsThe Kappa St...原创 2019-11-20 01:13:36 · 165 阅读 · 0 评论 -
Machine learning(4): Quiz 4
you are given a training set represented in the table below:You want to apply a machine learning algorithm, like a k-nearest neighbour, which is very sensitive to scales used to measure the attribu...原创 2019-11-19 07:19:24 · 434 阅读 · 0 评论 -
Machine learning(4):Linear regression
A Linear ModelThis line has the equation y = c + mx where c is the intercept on the y axis and m is the gradient. Thus we need a method of determining c and m so that the equation is a good predic...原创 2019-11-19 05:33:23 · 238 阅读 · 0 评论 -
Machine learning(4): Instance based learning
Numeric Attributes:For example:Nominal AttributesWhen the value of i is same as the value of j, the nominal attribute is 1 and other situtaion is 0.Distance Between Two Examplesk-Nearest Neig...原创 2019-11-19 05:16:06 · 322 阅读 · 0 评论 -
Machine learning(6): Quiz 6
You train a support vector classifier with a radial basis function kernel ( γ=0.1) on some data. Out of all training instances, the algorithm selects S={1,7,9} as support vectors:x(1)=[1,0.5,0.9] wi...原创 2019-11-19 04:21:42 · 278 阅读 · 0 评论 -
Machine learning(6): SVMs
Linear classifierWe could see that there is two pictures to show two different points. They are two types in the chart.We also could use some function to describe the side of reds and blues.A linea...原创 2019-11-19 02:21:03 · 185 阅读 · 0 评论 -
Machine Learning(3):Quiz3
Naïve Bayes classifiers assume:a. a conditionally discriminative distribution.b. independence between attributes.c. conditional independence between attributes.d. a strong prior.Correct answer:...原创 2019-11-17 03:30:36 · 323 阅读 · 0 评论 -
Machine learning(3): Bayesian Learning(1)
Conditional ProbabilityBayes TheoremThe conditional probability in independenceEspecially,Conditional independenceBayesian LearningEstimating probabilities is essentially a matter of counti...原创 2019-11-16 22:44:07 · 398 阅读 · 0 评论 -
Machine learning(2): Quiz2
Pruning is a method to prevent overfitting in decision trees. With one type of pruning, one first builds a decision tree allowing overfitting to occur, then uses a pruning data set to assess whether ...原创 2019-11-16 04:12:00 · 429 阅读 · 0 评论 -
Machine learning(2): Decision tree
What is the decision tree?A tree in which:1. Each terminal node (leaf) is associated with a class.2. Each non-terminal node is associated with one of the attributes that examples possess.3. Each b...原创 2019-11-16 02:10:41 · 229 阅读 · 0 评论 -
Machine learning(1): Quiz1
1.For which one of the following tasks machine learning is NOT suited?a. Identifing bird species from audio recordings of birds’ songs.b. Optical character recognition (OCR).c. Determining whether ...原创 2019-11-15 06:18:57 · 452 阅读 · 0 评论 -
Machine learning(1): Supervised learning, Unsupervised learning and Reinforcement learning
Machine learning is divided into three types of method learning.The first method is supervised learning and the second is unsupervised learning. Finally, it is reinforcement learning.Supervised Lear...原创 2019-11-15 04:42:23 · 804 阅读 · 0 评论