ML In Engineering

This class was created by Brainscape user Sam Smith. Visit their profile to learn more about the creator.

Decks in this class (13)

L1 - Introduction
Define artificial intelligence 1,
Define machine learning 2,
Define natural language processing 3
17  cards
L2 - Types Of Learning
Supervised learning can be used t...,
What is supervised learning 2,
What is unsupervised learning 3
15  cards
L3 - Classification
Give an overview of the classific...,
What is k nearest neighbours knn 2,
Describe how knn with k 3 assigns...
9  cards
L4 - Regression
What do regression models do 1,
What is a linear regression model 2,
How do regularised linear regress...
8  cards
L5 - Improving Predictive Models
What is an improved model 1,
How is simple model validation pr...,
What is cross validation 3
7  cards
L6 - Introduction to Deep Learning
What is the major benefit of deep...,
What 3 advancements have made dee...,
Explain the perceptron 3
8  cards
L7 - Convolutional Neural Networks
What is a convolution layer in nns 1,
What is a kernel 2,
How do you use a kernel 3
4  cards
L8 - Recurrent Neural Networks
What is a recurrent neural networ...,
How do rnns differ from standard ...,
Rnns use long short term memory w...
3  cards
L9 - Deep Generative Models
What is a generative model 1,
What is an autoencoder 2,
What is a variational autoencoder 3
4  cards
L10 - Reinforcement Learning
What is reinforcement learning 1,
Describe the relationship between...,
What is the rl q function 3
6  cards
L11 - Deep Learning in Intelligent Machine Condition Monitoring
0  cards
L12 - Limitations and New Frontiers
0  cards
Exam Question Notes
Will the increase of the number o...,
How can you determine the archite...,
What methods can be employed to p...
4  cards

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ML In Engineering

  • Class purpose General learning

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