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Full feature PDF editor. Poppler-utils: GNU GPL: Yes Yes Unix Yes Converts PDF to other file format (text, images, html). pstoedit: GNU GPL: Yes Yes Unix Yes Converts PostScript to (other) vector graphics file format. QPDF: Apache License 2.0: Yes Yes Yes Structural, content-preserving transformations from PDF to PDF. Scribus: GNU GPL: Yes Yes Yes
PDF24 Creator offers a suite of tools for PC users to download so they can read, save, convert and edit PDFs. Because you download the software, files are not stored on the cloud , adding another ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
FileHippo is a software downloading website that offers computer software for Windows. The website has sections listing most recently updated programs and most popular downloads, organised by category, with program information and link. Registration is not required in this website. FileHippo does not accept software submissions from publishers. [1]
Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]
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 ...
MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]