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Suppose on performing reduced error pruning, we collapsed a node and observed an improvement in the prediction accuracy on the validation set. Which among the following statements are possible in light of the performance improvement observed? (a) The collapsed node helped overcome the effect of one or more noise affected data points in the training set (b) The validation set had one or more noise affected data points in the region corresponding to the collapsed node (c) The validation set did not have any data points along at least one of the collapsed branches (d) The validation set did have data points adversely affected by the collapsed node
In cross-validation, what is the main drawback of Leave-One-Out Cross-Validation (LOOCV) compared to k-fold cross-validation?
In the question below, are given a statement followed by three courses of actions numbered I, II and III. On the basis of the information given, you have to assume everything in the statement to be true, and then decide which of the suggested course of action logically follow (s) for pursuing. Statement: The India Risk Survey 2017 report ranks 'Information & Cyber Insecurity' as the biggest risk facing Indian companies. Indian organizations, both public and private, had witnessed over 27,000 incidents of security threat, from January 2017 till June 2017 alone. Phishing, scanning/probing, website intrusions and defacements, virus/malicious code, ransomware, Denial of Service attacks, and data breaches are some ways in which hackers attack business websites, which can cause operational disruptions and potentially steal sensitive information. Small and medium businesses (SMBs), unfortunately, have been seeing rising incidences of cybercrime. In fact, 70 percent of cyberattacks occur at organizations with lesser than 100 employees  Courses of action: I. Mandate basic security practices and policies for all employees, such as 2-factor authentication, internet use guidelines and create and enforce rules on handling and protecting sensitive data. Conduct frequent training to sensitize employees about opening suspicious emails, encrypting their data, using strong passwords on their devices, installing security apps, and limiting activity over public Wi-Fi. Implement and enforce incident reporting to help ensure that even the smallest breach is report to management as well as the IT teams. II. Basics still matter and are some of the best defenses against viruses, malware, and other online threats. Assess the assets that are most at risk - data, servers, network - and ensure that the systems are updated with the latest security software, web browser, and operating system. Implement firewall security and run antivirus software after each update.  III. Ensure regular backup of all critical data - whether stored in-house or on the cloud. Run scheduled attack drills and stress tests to identify vulnerabilities and ensure that data restoration and business continuity are executed as planned.
What is the primary goal of "data mining" in data visualization and reporting?
What does the term "data-driven storytelling" mean in the context of data visualization and reporting?
What does "data granularity" refer to in data visualization and reporting?
What does "data storytelling" aim to achieve in data visualization and reporting?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
Banks are required to monitor transactions of suspicious nature for reporting to the authorities under anti- money laundering measures. The purpose of reporting is:
What is the primary purpose of data visualization in data science?