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Which of the Following Is One of the Ways in Which Training Can Be Evaluated?

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@nmnjn @AlessandroCorradini

Quiz 3 - Data Scientific discipline 101

1. Which of the following are parts of the five P'due south of data science and what is the additional P introduced in the slides?

  • People
  • Purpose
  • Product
  • Perception
  • Process
  • Programmability
  • Platforms

2. Which of the post-obit are part of the four main categories to acquire, admission, and remember information?

  • NoSQL Storage
  • Remote Data
  • Traditional Databases
  • Web Services
  • Text Files

3. What are the steps required for data assay?

  • Investigate, Build Model, Evaluate
  • Classification, Regression, Analysis
  • Regression, Evaluate, Classification
  • Select Technique, Build Model, Evaluate

four. Of the post-obit, which is a technique mentioned in the videos for edifice a model?

  • Investigation
  • Validation
  • Evaluation
  • Analysis

v. What is the first step in finding a right problem to tackle in data science?

  • Assess the Situation
  • Inquire the Correct Questions
  • Define the Trouble
  • Define Goals

half dozen. What is the outset step in determining a large data strategy?

  • Business concern Objectives
  • Collect Data
  • Build In-Business firm Expertise
  • Organizational Buy-In

7. According to Ilkay, why is exploring data crucial to amend modeling?

Data exploration...

  • leads to data understanding which allows an informed analysis of the information.
  • enables a description of data which allows visualization.
  • enables agreement of general trends, correlations, and outliers.
  • enables histograms and others graphs every bit data visualization.

viii. Why is data scientific discipline mainly about teamwork?

  • Analytic solutions are required.
  • Technology solutions are preferred.
  • Data scientific discipline requires a variety of expertise in dissimilar fields.
  • Exhibition of marvel is required.

9. What are the ways to address data quality issues?

  • Remove outliers.
  • Generate best estimates for invalid values.
  • Remove data with missing values.
  • Information Wrangling
  • Merge indistinguishable records.

10. What is done to the information in the preparation phase?

  • Retrieve Information
  • Select Belittling Techniques
  • Build Models
  • Identify Information Sets and Query Data
  • Understanding Nature of Data and Preliminary Assay

buckleyfliatich.blogspot.com

Source: https://github.com/AlessandroCorradini/University-of-California-San-Diego-Big-Data-Specialization/blob/master/01%20-%20Introduction%20to%20Big%20Data/Quiz%203%20-%20Data%20Science%20101.md

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