This essay is used to post my solutions to the exercises in the book Learning From Data: A Short Course, by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin, which is also a reference textbook to my machine learning course this semester(Semester B 2020/21). If there is any ...
Computational IntelligenceApplications for Data Science Wang, S., Yao, X.: Multiclass imbalance problems: analysis and potential solutions. IEEETrans. Syst. Man Cybern. B Cybern. 42(4), 1119–1130 (2012) Wei, H., Sun, B., Jing, M.: Balancedboost: a hybrid approach for real-time ...
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You can create datastores from these Azure storage solutions. For unsupported storage solutions, and to save data egress cost during ML experiments, you must move your data to a supported Azure storage solution. For more information about datastores, visit this resource. You can create datastores...
Yet it employs techniques and procedures different from those in machine learning and, thus, lies beyond the scope of this post. Data collection as the first step in the decision-making process, driven by machine learning In machine learning projects, data collection precedes such stages as data...
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need to work with. More data can result in much longer running times for algorithms and larger computational and memory requirements. You can take a smaller representative sample of the selected data that may be much faster for exploring and prototyping solutions before considering the whole dataset...
Data cleaning techniques such as deduplication, error correction, outlier removal and validation ensure data integrity. Figure 1. Some common data quality issues and their potential solutions. The techniques you choose will depend on the data types, scale and project objectives. In many cases, you ...