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Data visualization provides insight into the distribution and relationships between variables in a dataset.

This insight can be helpful in selecting data preparation techniques to apply prior to modeling and the types of algorithms that may be most suited…

Posted by Ming-Wei Chang and Kelvin Guu, Research Scientists, Google Research Recent advances in natural language processing have largely built upo...

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Smart agricultural machines developed by Blue River Technology leverage PyTorch to target weeds without harming crops.

Are you getting different results for your machine learning algorithm? Perhaps your results differ from a tutorial and you want to understand why. Perhaps your model is making different predictions each time it is trained, even when it is trained on the same…

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Posted by Yinfei Yang and Fangxiaoyu Feng, Software Engineers, Google Research A multilingual embedding model is a powerful tool that encodes text ...

The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.

[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors - yijingru/BBAVectors-Oriented-Object-Detection

NumPy arrays provide a fast and efficient way to store and manipulate data in Python. They are particularly useful for representing data as vectors and matrices in machine learning. Data in NumPy arrays can be accessed directly via column and row indexes…

Danfo.js is an open-source, JavaScript library that provides high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data. Danfo.js is heavily inspired by the Python Pandas library and provides a similar interface/API.…

Posted by Huiyu Wang, Student Researcher and Yukun Zhu, Software Engineer, Google Research The success of convolutional neural networks (CNNs) main...

Multi-output regression involves predicting two or more numerical variables. Unlike normal regression where a single value is predicted for each sample, multi-output regression requires specialized machine learning algorithms that support outputting multiple…