BUAL 5650 Final Exam || with A+ Guaranteed Solutions.
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Machine learning correct answers AI that learns predictive models from data; automates analytical model building
Machine learning correct answers Uses algorithms that iteratively learn from data to allow computers to find hidden insight without being explicitly programmed
Machine learning cor...
BUAL 5650 Final Exam || with A+ Guaranteed Solutions.
Machine learning correct answers AI that learns predictive models from data; automates
analytical model building
Machine learning correct answers Uses algorithms that iteratively learn from data to allow
computers to find hidden insight without being explicitly programmed
Machine learning correct answers A computer program is said to learn from experience E with
respect to some task T and some performance measure P. if its performance on T, as measured
by P, improves with experience E
Supervised learning correct answers Labeled data, direct feedback; used to predict
outcome/future
Unsupervised learning correct answers No labels or feedback; used to "find hidden structures"
Supervised: Regression correct answers Linear or polynomial; y is the regressand and x is a
vector of the regressors
Neural networks correct answers Based on how we think the human brain works; collection of
software "neurons" are created and connected and the network is asked to solve a problem over
and over to strengthen connections leading to success
Support vector machines (SVM) correct answers Maximize the width of the decision boundary
Naive-Bayes correct answers Family of simple probabilistic classifiers based on Bayes' theorem;
commonly used for spam detection, baseline technique
Unsupervised: Clustering correct answers K-means, principal component analysis (PCA),
singular value decomposition (SVD), hierarchical clustering, time-series clustering
K-means correct answers Iterative, 2 steps; cluster assignment based on Voronoi diagram, mean
distance boundaries; new centroid stepm calculate the new centroid based on assigned points
Deep learning correct answers Type of machine learning that allows computers to learn complex
concepts by learning simpler concepts and combining them; uses layers
Deep neural network (DNN) correct answers Neural network with more than one hidden layer
Convolutional neural network (CNN) correct answers Type of deep neural network; used for
image and video classification, image captioning, and natural language processing (NLP);
utilizes kernels
Recurrent neural network (RNN) correct answers Type of deep neural network; used for NLP
and sequential data; advanced RNNs include recursive neural networks, GRUs, and LSTMs
Combining RNNs and CNNs correct answers Image captioning, video classification, and video
generation
Hadoop correct answers HDFS and MapReduce; invented by Google and first used by Yahoo
MapReduce correct answers Programming paradigm for big data; divides data into smaller
chunks for simultaneous analysis
Map -> Sort -> Reduce
Apache Spark correct answers Hadoop based solution for high-speed big data analytics; runs on
top of HDFS
Expensive but up to 100x faster than Hadoop; runs in memory using Python, Scala, Jave, and R
Key feature of Spark correct answers Resilient distributed dataset: fundamental data structure
- Immutable distributed collections of objects
- Fault-tolerant
- Works well for unstructured data
ETL correct answers Extract. Transform, Load; traditionally tied to integration of organizational
data, not appropriate for real-time integration
ELT correct answers Extract, Load, Transform; can involve unstructured data and supports near
real-time integration across platforms and sources
Volume correct answers The scale of data
Velocity correct answers The speed of data that arrives
Variety correct answers Different forms of data
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