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Autoregressive Integrated Moving Average – ARIMA

Autoregression, often abbreviated as AR, is a fundamental concept in time series analysis and forecasting. It's a model that relates a variable to its own past values. Autoregressive models are used to capture and represent temporal dependencies within a time series data.

AR, AutoRegression, Autoregressive Integrated Moving Average, Machine Learning, Time Series

AutoRegression in Time Series

Artificial Intelligence, Data Science, Deep Learning, Machine Learning, PyTorch

PyTorch’s Applications

PyTorch is a versatile deep learning framework with a wide range of applications across various domains. Some of its notable applications include: Computer Vision: Image Classification: PyTorch is commonly used for building and training…

Artificial Intelligence, Data Science, Deep Learning, Machine Learning, PyTorch

What is PyTorch?

PyTorch is an open-source machine learning framework developed by Facebook's AI Research lab (FAIR). It is widely used for various machine learning and deep learning tasks, including neural networks, natural language processing, computer vision,…

Artificial Intelligence, Data Science, Deep Learning, Machine Learning

Three Different Types of Machine Learning

Machine learning can be broadly categorized into three main types: supervised learning, unsupervised learning, and reinforcement learning. Each type serves different purposes and is used in various applications: Supervised Learning: In…