Add resource "A Beginner's Guide to Getting Started in UX Research" Accepted
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Add A Beginner's Guide to Getting Started in UX Research
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- A Beginner's Guide to Getting Started in UX Research
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- This resource was put together by Lade Tawak. If you're interested in getting started in UX but don't know where to start from, this guide contains resources and articles that can help you It is primarily aimed at individuals interested in pursuing a career in Design Research. Startup teams, businesses or team members that want a starting point on how to incorporate research in their process might also find it useful.
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- https://www.notion.so/A-Beginner-s-Guide-to-Getting-Started-in-UX-Research-1e3e0567b4944c938ae8d1a4f0a21c56#2c3406084533498eb7d89bca1648abe7
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Add The Incredible Pytorch
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- The Incredible Pytorch
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- This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch.
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- https://github.com/ritchieng/the-incredible-pytorch
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Add PyTorch
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- PyTorch
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- FROM RESEARCH TO PRODUCTION An open source machine learning framework that accelerates the path from research prototyping to production deployment. Official site.
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- https://pytorch.org/
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Add UX Research
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- UX Research
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- UX (user experience) research is the systematic study of target users and their requirements, to add realistic contexts and insights to design processes. UX researchers adopt various methods to uncover problems and design opportunities. Doing so, they reveal valuable information which can be fed into the design process.
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- https://www.interaction-design.org/literature/topics/ux-research
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Add PyTorch
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- PyTorch
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- PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab (FAIR). It is free and open-source software released under the Modified BSD license. Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface.A number of pieces of Deep Learning software are built on top of PyTorch, including Tesla Autopilot, Uber's Pyro, HuggingFace's Transformers, PyTorch Lightning, and Catalyst.
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- https://en.wikipedia.org/?curid=54022970
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Add Machine learning
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- Machine learning
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- Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning.
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- https://en.wikipedia.org/?curid=233488
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Add UX Research relates to A Beginner's Guide to Getting Started in UX Research
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Add PyTorch relates to The Incredible Pytorch
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Add PyTorch used by Machine learning
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