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专栏作者
17
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6096
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考前佛脚:leetcode第三弹
题目: image.png 答案: def isValid(s): s = list(s) sym_dict = {")": "(", "}": "{", "]":"["} stack =[] close = [] if len(s)%2 == 0: for i in range(len(s)): if s[i] in sym_dict.v
403 Forbidden
2021-11-01
2300
考前佛脚:leetcode第二弹
题目: image.png 答案: def reverse(x): ans="" if x < -(2**31) or x > (2**31)-1: return 0 if x > 0: x = str(x) for i in range(1,len(x)+1): ans+=x[-i] elif x == 0:
403 Forbidden
2021-10-31
2560
考前佛脚:leetcode第一弹
题目: image.png 答案: def twoSum(nums, target): ans = [] diff = None for i in range(len(nums)): if not ans: diff = target - nums[i] if len(ans) == 2: break if di
403 Forbidden
2021-10-31
3270
Ethical considerations
-appreciate that there exist ethical considerations in the context of a data wrangling/data science/data analytics project
403 Forbidden
2021-05-20
2610
Differential privacy
-for differential privacy, understand what information is being protected and what information is not being protected
403 Forbidden
2021-05-20
2670
Public data release and individual anonymity
Lecture 21: Public data release and individual anonymity
403 Forbidden
2021-05-20
3400
Data linkage and privacy
-understanding what the record (data) linkage problem is
403 Forbidden
2021-05-19
3940
Blockchain and data processing
Lecture 15-16: Blockchain and data processing
403 Forbidden
2021-05-19
3960
Classification and regression techniques: decision tree and knn
Lectures 12 and 13: Classification and regression techniques: decision tree and k-nearest neighbor
403 Forbidden
2021-05-19
4360
Mutual information
-understand the meaning of the variables in the (normalised) mutual information and how they can be calculated. Be able to compute this measure on a pair of features. The formula for (normalised) mutual information will be provided on the exam.
403 Forbidden
2021-05-19
2880
Assessing correlations
-be able to explain why identifying correlations is useful for data wrangling/analysis
403 Forbidden
2021-05-19
2400
Hierarchical clustering and dimension reduction
Lecture 8: Hierarchical clustering and dimension reduction
403 Forbidden
2021-05-19
4360
Clustering and clustering visualisation
Lecture 7: Clustering and clustering visualisation
403 Forbidden
2021-05-19
2680
Data visualisation
-be able to explain the motivation for data visualisation
403 Forbidden
2021-05-19
6710
Recommender systems
-understand why missing data is an important issue for recommender systems
403 Forbidden
2021-05-19
4080
Data cleaning: missing values and outliers detection
Lectures 4 and 5: Data cleaning: missing values and outliers detection
403 Forbidden
2021-05-19
3800
Unimelb COMP20008 Note 2019 SM1 - Data formats
-Appreciate the role that relational databases play in data wrangling.
403 Forbidden
2021-05-17
4980
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