In this article, I introduce various libraries to work with probabilistic models.
These libraries provide different levels of complexity, ranging from those that focus on providing simple and intuitive ...
Hill Climbing is an optimization technique used in Artificial Intelligence.
Can be easily parallelized Hill Climb Search to speed up the search process ...
How to Estimate DAG (Directed Acyclic Graph) with Hill Climb Search
Hill Climbing is a simple optimization algorithm that tries to find the global optimum of a given objective function by making iterative moves towards better solutions. The algorithm starts ...
EfficientNet is a family of convolutional neural network (CNN).
EfficientNet was first introduced by a team of researchers at Google in a paper published in 2019. The paper, “EfficientNet: Re...
Markov chain is a mathematical model that describes a sequence of possible event.
The concept of a Markov chain was first introduced by Andrei Andreyevich Markov in his 1906 paper “Extension of the law of large numbers.” In the paper ...
Computer science
Machine learning
Posting about some interesting tips in coding, developing machine learning models, and statistical analysis. I also try to solve some of the common issues in the python and R environment and share them.
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