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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Dataset HF card, and project's GitHub repository. [393] Diggelmann et al. Climate News dataset A dataset for NLP and climate change media researchers The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [394] ADGEfficiency Climatext

  3. Gerald Friedland - Wikipedia

    en.wikipedia.org/wiki/Gerald_Friedland

    Gerald Friedland is a German-American computer scientist and author specializing in multimedia computing, machine learning, and artificial intelligence.He is a principal scientist at Amazon Web Services and a professor at the Electrical Engineering and Computer Science Department of the University of California, Berkeley.

  4. Kavita Ganesan - Wikipedia

    en.wikipedia.org/wiki/Kavita_Ganesan

    Ganesan worked as a scientist for the software development platform GitHub. [5] [4] In 2017, she brought the first machine learning (ML) pipeline to GitHub with the launch of GitHub Topics. [6] [7] While working at GitHub, Ganesan founded the Utah-based AI and machine learning company Opinosis Analytics. [4] [8] [9]

  5. Kaiming He - Wikipedia

    en.wikipedia.org/wiki/Kaiming_He

    kaiminghe.github.io Kaiming He ( Chinese : 何恺明 ; pinyin : Hé Kǎimíng ) is a Chinese computer scientist who primarily researches computer vision and deep learning . [ 2 ] He is an associate professor at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet).

  6. Gensim - Wikipedia

    en.wikipedia.org/wiki/Gensim

    Gensim is an open-source library for unsupervised topic modeling, document indexing, retrieval by similarity, and other natural language processing functionalities, using modern statistical machine learning. Gensim is implemented in Python and Cython for performance. Gensim is designed to handle large text collections using data streaming and ...

  7. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    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 ...

  8. Symbolic regression - Wikipedia

    en.wikipedia.org/wiki/Symbolic_regression

    QLattice is a quantum-inspired simulation and machine learning technology that helps search through an infinite list of potential mathematical models to solve a problem. [ 13 ] [ 14 ] Evolutionary Forest is a Genetic Programming-based automated feature construction algorithm for symbolic regression.

  9. Wojciech Zaremba - Wikipedia

    en.wikipedia.org/wiki/Wojciech_Zaremba

    The aim of the project is to create safe artificial intelligence. In OpenAl, Zaremba works as robotics research manager. Zaremba sits on the advisory board of Growbots, [ 19 ] a Silicon Valley startup company aiming to automate sales processes with the use of machine learning and artificial intelligence.