principal component analysis (pca)
2 episodes mention this concept
lexfridmanFeb 21, 2020Andrew Ng's Expert Advice on Getting Started and Building a Career in Deep Learning and AI
TechnologyDeep LearningMachine LearningNeural NetworksGradient Descent- lexfridmanSep 27, 2016
Foundations of Unsupervised Deep Learning: Sparse Coding, Autoencoders, and Generative Models
TechnologyUnsupervised LearningSupervised LearningDeep LearningHierarchical Representations
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Related concepts
Concepts that appear alongside principal component analysis (pca) across episodes.
- supervised learning
- deep learning
- generative models
- python programming
- neural networks
- habit formation
- debugging machine learning algorithms
- variational autoencoders (vaes)
- feature detectors
- backpropagation
- reinforcement learning (deep rl)
- knowledge graphs
- model architecture modification
- convolutional neural networks (cnns)
- dimensionality reduction
- self-taught programmers
- data collection strategy
- practical know-how
- optimization algorithms
- sequence models (rnn, lstm)