On January 12th, 2022, the new version of PyCaret, PyCatret 2.3.6, was released with new exciting features.
Machine learning model with Boolean algebra starts with the data with a target variable and input or learner variables and using the set of rules it generates output value by considering a given configuration of input samples.
HpBandSter is a python package framework that can be used for distributed hyperparameter optimization. Using this framework we can perform a variety of cutting-edge hyperparameter algorithms including the HyperBand
Using speech data we can extract a lot of information about speakers like age, identity, language, and gender, Which can be a confidential part. federated learning environment enhances data security and data privacy.
In this article, we will discuss Python based package HyperTools in detail and how it can help in visualizing high dimensional data.
In this article, we will take a look at knowledge distillation and will discuss its context briefly.
Arauto is an open-source project for time series analysis using which we can perform various analyses on our time series data. Also, we can use various time series models from the ARIMA family using it.
In this article, we are going to discuss how neural networks are being used in the art industry and we will take a look at NN-based architecture called Paint Transformer which results in human-crafted painting images of given natural images.
In this article, we will talk about ChainerCV, a library that has a variety of models that are required for computer vision-related tasks.
In this article, we will go over tasks performed in the OCR method and python based library that centralizes all OCR-related operations.
Traditional Market Mix Models are not much eligible to equip the hard data with prior knowledge. The simple models are defined with the parameters which are independent of each other. Bayesian Market Mix Models can be eligible to deal with such hard data.
Behaviour trees are originally developed in the gaming industries that are mainly used for performing actions or sets of actions in a managerial way. We can also use this tree in reinforcement learning.
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