Category: MACHINE LEARNING
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2019.11.03(pm): How to install Anaconda and Jupyter Notebook
Anaconda Anaconda is a development platform that gathers open source for Python-based data analysis. Anaconda’s advanced package manager allows you to get the most out of Python. Another advantage of Anaconda is that the virtual environment manager can efficiently configure the development environment for each project. Download https://www.anaconda.com/download/ If you have anaconda installed, check the…
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2019.11.02(pm): Bayes’s Theorem and MLE vs MAP
Bayes’s Theorem Called Bayes’s theorem or Bayes’s rule or Bayes’ law, this is a conditional probability equation (X2: model, X1: observation) Bayesian probabilities are probability transforms that allow the posterior probability to be calculated using prior and likelihoods. Bayesian probabilities mostly occur when classification and detection problems occur in image processing. In other words, Bayesian…
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2019.10.09(pm): The concept of Perceptron
Let’s study artificial intelligence today ! Perceptron First, perceptron is a type of artificial neural network proposed by Frank Rosenblatt in 1957. It is an algorithm that produces one result from multiple inputs. Perceptron can easily be compared to neurons, the nerve cells that actually make up the brain. Neurons receive signals from the dendritic…