Intro To Machine Learning with PyTorch

BOOKS - Intro To Machine Learning with PyTorch

Intro To Machine Learning with PyTorch - Stefan Weiss November 10, 2023 PDF Independently published BOOKS

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Intro To Machine Learning with PyTorch

Author: Stefan Weiss
Year: November 10, 2023
Format: PDF
File size: 10.1 MB
Language: ENG

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INTRO TO MACHINE LEARNING WITH PYTHON Introduction The world we live in today is vastly different from the one our parents or grandparents grew up in. Technology has advanced at an incredible pace over the past few decades, and it continues to evolve at an exponential rate. As a result, the job market has shifted dramatically, and many traditional careers are no longer viable. However, this does not mean that all hope is lost. With the rise of machine learning, there has never been a better time to learn how to code and develop software. In this article, we will explore the basics of machine learning using Python, specifically focusing on PyTorch. Machine Learning Machine learning is a subset of artificial intelligence that involves training algorithms to make predictions based on data. It is used in various industries such as healthcare, finance, marketing, and more. The goal of machine learning is to enable computers to learn without being explicitly programmed. This technology has revolutionized the way we approach problems and has opened up new opportunities for businesses and individuals alike. PyTorch PyTorch is an open-source machine learning library developed by Facebook's AI Research Lab (FAIR). It provides a dynamic computational graph and makes it easy to build and train neural networks. PyTorch allows developers to quickly experiment with different ideas and iterate on their models. Additionally, it has a large community of users who contribute to its development and provide support.

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