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TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [ 41] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Originally, PANGOLIN used a maximum-likelihood-based assignment algorithm to assign query SARS-CoV-2 the most likely lineage sequence. Since the release of Version 2.0 in July 2020, however, it has used the 'pangoLEARN' machine-learning-based assignment algorithm to assign lineages to new SARS-CoV-2 genomes. [12]
e. Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, [ 1] including genomics, proteomics, microarrays, systems biology, evolution, and text mining. [ 2][ 3] Prior to the emergence of machine learning, bioinformatics algorithms had to be programmed by hand; for problems such as protein ...
v. t. e. In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, variance. [1] It is used in supervised learning and a family of machine learning algorithms that convert weak learners to strong ones. [2]
AWS today announced that CodeGuru, a set of tools that use machine learning to automatically review code for bugs and suggest potential optimizations, is now generally available. The tool launched ...
Caffe: Created by the Berkeley Vision and Learning Center (BVLC). It supports both CPU and GPU. Developed in C++, and has Python and MATLAB wrappers. Chainer: Fully in Python, production support for CPU, GPU, distributed training. Deeplearning4j: Deep learning in Java and Scala on multi-GPU-enabled Spark.
Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...