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How is Linear Algebra Applied in Machine Learning
1. Linear Algebra Application in Linear Equation System. Suppose that we have the linear equation system below, a typical way to compute the value of a and b is to eliminate one element at a time — which can take 3 to 4 …
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(PDF) DNA Microarray: Basic Principle and It's Applications
DNA microarray is most powerful technology which can provide a high throughput and detailed view of the entire genome and transcriptome which allows scientists to understand the molecular ...
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APPLICATIONS OF DNA MICROARRAYS IN BIOLOGY
Keywords. Abstract DNA microarrays have enabled biology researchers to conduct large-scale quantitative experiments. This capacity has produced qualitative changes in the breadth of hypotheses that can be explored. In what has become the dominant mode of use, changes in the transcription rate of nearly all the genes in a genome, taking place in ...
Linear Algebra for Machine Learning Examples, Uses and …
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3 Reasons Data Scientists Need Linear Algebra | Built In
Linear Algebra Applications for Data Scientists. Machine learning: loss functions and recommender systems. Natural language processing: word embedding. Computer vision: image convolution. More From Our Experts Artificial Intelligence vs. Machine Learning vs. Deep Learning. 1. Machine Learning. Machine learning is, without a …
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DNA Microarray: Basic Principle and It's Applications
All the data is collected and a profile is generated for gene expression in the cell. DNA microarray (also commonly known as gene chip, DNA chip, or biochip) is a collection of microscopic DNA spots attached to a solid surface. In DNA chip technology, single stranded DNA molecule is immobilized on solid surface by biochemical analysis.