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Decks in this class (25)
Representing, Processing, and Preparing Data
You are looking for fast prototyp...,
What is a weakness of mean substi...,
What is standardization applied t...
10
cards
Sourcing Data in Microsoft Azure
What is defined as information th...,
What is defined as data that is c...,
What is defined as data that was ...
10
cards
Cleaning and Preparing Data in Microsoft Azure
What is discrete data with no pot...,
Which data represents characteris...,
What data is a sequence of data c...
10
cards
Combining and Shaping Data
Some of the features of transacti...,
What is the practice of combining...,
You are operating on a stream of ...
10
cards
Summarizing Data and Deducing Probabilities
Which of the following is a univa...,
Which of the following is a multi...,
Which of these is the best descri...
10
cards
Experimental Design for Data Analysis
Which of the following are valid ...,
What kind of machine learning mod...,
What is a benefit of azure machin...
10
cards
Interpreting Data with Statistical Models
A research group analyzed a sampl...,
A study made by students of proba...,
You want to understand which type...
10
cards
Interpreting Data with Advanced Statistical Models
A friend is trying to create a cl...,
In which of the following unsuper...,
For a medical trial to detect mel...
10
cards
Communicating Data Insights
Which microsoft product is a drag...,
Which chart is most appropriate f...,
Which chart is most appropriate f...
10
cards
Building Your First Data Science Project in Microsoft Azure
When does the data science proces...,
What is unique to data cycles in ...,
How can you get others to treat d...
10
cards
Building, Training, and Validating Models in Microsoft Azure
It is required that a predictions...,
Calvis hammond wants to track how...,
A _____ variable changes in respo...
10
cards
Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure
What issue you could possibly fac...,
What happens when we increase the...,
You can delete the records with m...
10
cards
Building Features from Nominal and Numeric Data in Microsoft Azure
A distrubtion of data refers to w...,
Much of the field of statistics i...,
The measure of the thickness of t...
10
cards
Feature Selection and Extraction in Microsoft Azure
Which techniques can be used to p...,
Which is the internal representat...,
What is a reason to perform featu...
10
cards
Building Features from Text Data in Microsoft Azure
Which of the following must be do...,
Which class provides a powerful b...,
What can remove words based on th...
10
cards
Reducing Complexity in Data in Microsoft Azure
A model uses three features to ma...,
Which of these common model evalu...,
You want to remove categorical fe...
10
cards
Developing Models in Microsoft Azure
What is the purpose of an early t...,
One of the exit criteria in your ...,
Which parameter is not needed to ...
10
cards
Evaluating Model Effectiveness in Microsoft Azure
What must you register in order t...,
Which of microsofts responsible a...,
Which of the following situations...
10
cards
Deploying and Managing Models in Microsoft Azure
What is the top level resource fo...,
What are training runs you use to...,
What is the last step in an azure...
10
cards
Communicating Insights from Microsoft Azure to the Business
What is the likely cause when a s...,
What is used to guide the improve...,
What is the accuracy and precisio...
10
cards
Analyzing Business Requirements for Data Science
Data science is a multidisciplina...,
What is the desired outcome of a ...,
What is a difference between soft...
10
cards
Understanding Ethical, Legal, and Security Issues in Data Science
Which feature allows for immediat...,
You want to make sure that if an ...,
Which azure sql tier uses always ...
10
cards
Communicating Expectations to the Business
You are a data scientist looking ...,
You need data input on a project ...,
What kind of barrier does persona...
10
cards
Building Features from Image Data in Microsoft Azure
How is the feature descriptor for...,
What is a common use case for the...,
What term is best described as an...
10
cards
Bias, Variance, Underfitting, Overfitting
Overfitting,
Underfitting,
Bias
4
cards
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dp-100 - ps
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