8 Microsoft free Github Courses
In this article, we are going to explore 8 different Microsoft Github hosted courses for machine learning and AI. You
Read MoreThe concepts of a specific academic topic is discussed.
In this article, we are going to explore 8 different Microsoft Github hosted courses for machine learning and AI. You
Read MoreFeature engineering plays a vital role in creating precise and efficient machine learning models. A crucial component of this process
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
Read MoreIn this post, we are trying to go over the probability and naive Bayes approach. In. the following slides which
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