You are tasked with designing a secure database system for Yahoo's Paranoids team, focusing on a Linux environment hosted on AWS. The system should ensure data integrity and protection against cyber threats. Additionally, propose a machine learning approach to detect and mitigate potential security breaches. Describe your approach, the technologies you would use, and the steps involved in the implementation.
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Design a secure database system for a cybersecurity team, focusing on a Linux environment hosted on AWS. The system must ensure data integrity and protection against cyber threats. Additionally, propose a machine learning solution to detect and mitigate potential security breaches. Detail your approach, the technologies you would use, and the steps involved in the implementation.
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Explain the concept of overfitting in machine learning. What are activation functions and what role do they play in neural networks? Additionally, describe batch normalization and its purpose in training deep learning models.
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Create an Apache Pig script to solve a Longest Common Subsequence (LCS) problem using data stored in Hadoop HDFS. Additionally, describe how you would integrate this data processing with a machine learning model to predict the likelihood of sequences being similar in future data streams.
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What is the difference between Tableau, Power BI, and other BI tools? Do you have any knowledge of Machine Learning?
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What factors should be used in generating a forecast for an item, and what should be the process of generation?
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How would you identify and address potentially under-performing predictive models in a production environment?
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How would you handle skewed distributions and imbalanced classes in a dataset intended for machine learning? Provide specific techniques and tools you would use.
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Explain what machine learning is and how it helps us to train data. Include examples of different types of machine learning and their typical applications.
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