Machine learning: a quick review (part 7)
7- Bayesian Learning Bayesian statistics provides us the tools to update our beliefs (represented as probability distributions) based on new
Read More7- Bayesian Learning Bayesian statistics provides us the tools to update our beliefs (represented as probability distributions) based on new
Read More6- Ensemble techniques 6-1- What are ensemble techniques In ensemble learning, you take multiple algorithms or same algorithm multiple times
Read More5- Not supervised learning 5-1- Unsupervised learning unsupervised learning is a technique that determines patterns and associations in unlabeled data.
Read More4- Supervised learning 4-1- Decision tree models partition the feature space into rectangles and learn a simple (e.g. constant) model
Read More3- Data preparation 3-1- Imbalanced dataset An imbalanced dataset is when you have, for example, a classification test and 90%
Read More2 – Fundamental of learning 2-1- Bias vs variance Bias is error due to erroneous or overly simplistic assumptions in
Read More1 – Introduction 1-1- What is machine learning Machine learning is using computers to automatically detect patterns in data and
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