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Data Science Final Exam |246 Questions with 100% Verified Answers

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Data Science Final Exam |246 Questions with 100% Verified Answers

Institución
Data Science
Grado
Data Science

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Data Science Final Exam |246
Questions with 100% Verified Answers

ICLR - ✔ ✔ which stands for the International Conference on
Learning Representation , ...


AI or machine learning - ✔ ✔ the main conferences are NIPS and ICML, and also
conferences like AI Stats, UAI, and KDD, which is more data scienceâ€"oriented ,
...


Stochastic gradient descent - ✔ ✔ ...


Algorithm - ✔ ✔ A series of repeatable steps for carrying out a certain type of
task with data




Angular JS - ✔ ✔ An open-source javascript library maintained by google and
the community. Lets you create single web page applications to display results


Artificial intelligence - ✔ ✔ The ability to have machines act with apparent
intelligence. Can be through symbolic logic or statistical analysis



Backpropagation - ✔ ✔ An algorithm for iteratively adjusting the weights used in
a neural network system. Often used to implement gradient descent.

,Bayes' Theorem - ✔ ✔ An equation for calculating the probability that something
is true if something potentially related is true. P(A|B) = P(B|A) * P(A) / P(B)


Good for situations where you need to know the amount of false
positives (diseases) - ✔ ✔


Bayesian network - ✔ ✔ Graphs that compactly represent the
relationship between random variables for a given problem


Bias - ✔ ✔ In machine learning when a learner consistently learns the same
thing wrong


Big data - ✔ ✔ Working with large datasets that usually require distributed storage



Binomial distribution - ✔ ✔ A distribution of independent events with two
mutually exclusive possible outcomes a fixed number of trials and a
constant probability of success. Discrete probability distribution. Graphed
using histograms.

,Centroid - ✔ ✔ Center of a cluster


Chi-square test - ✔ ✔ Statistical test of whether two categorical variables
are independent


Classification - ✔ ✔ The identification of two or more discrete categories for items
classic machine learning task. Spam or ham. Movie genres. Supervised learning.



Clustering - ✔ ✔ Unsupervised learning technique for dividing data into
groups based on an algorithm


Coefficient - ✔ ✔ A number or algebraic symbol prefixed as a multiplier to
a variable or unknown quantity (slope in line equation)


Computational linguistics - ✔ ✔ Also called natural language processing
(NLP) converting text of spoken languages into structured data to extract
valuable information


Confidence interval - ✔ ✔ A range specified around an estimate to indicate
margin of error combined with a probability that a value will fall in that range


Continuous variable - ✔ ✔ A variable whose value can be any of infinite values


Correlation coefficient - ✔ ✔ Measure of how closely two variables
correlate. Ranges from -1 to 1

, Correlation - ✔ ✔ The degree of relative correspondence between two variables


Covariance - ✔ ✔ A measure of the relationship between two variables
whose values are observed at the same time


Cross-validation - ✔ ✔ Set of techniques that divide up data into training sets
and test sets usually 80-20. Training sets are given the correct categorization
and an algorithm is created


CSV - ✔ ✔ Comma separated values common data file type


D3 - ✔ ✔ Data Driven Documents a JavaScript library that eases the creation
of interactive visualizations embedded in web pages


Data engineer - ✔ ✔ A specialist in data wrangling they build infrastructure for
real tangible analysis. Run ETL


Data Mining - ✔ ✔ The use of computers to analyze large data sets to look
for patterns that let people make business decisions


Data science - ✔ ✔ The ability to extract knowledge and insights from large
and complex data sets


Data structure - ✔ ✔ A particular arrangement of units of data such as an array
or a tree

Escuela, estudio y materia

Institución
Data Science
Grado
Data Science

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Subido en
30 de octubre de 2024
Número de páginas
31
Escrito en
2024/2025
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