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This paper discusses modern Auto Machine Learning (AutoML) tools from the perspective of a person with little prior experience in Machine Learning (ML).
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Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining . 847–855
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Hyperparameter Optimization, See Hutter et al. (2019) , 3–38
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Auto-sklearn: efficient and robust automated machine learning
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An open source AutoML benchmark
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Which log level should developers choose for a new logging statement?
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Benchmarking automatic machine learning frameworks
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What is the Difference Between a Batch and an Epoch in a Neural Network?
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Big Data Visualization: Allotting by R and Python with GUI Tools. In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) . IEEE, 1–8
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Predicting the computational cost of deep learning models. In 2018 IEEE International Conference on Big Data (Big Data) . IEEE, 3873–3882
Daniel Justus, John Brennan, Stephen Bonner, and Andrew Stephen McGough. 2018 · 2018
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Automatic Machine Learning: Methods, Systems, Challenges
Frank Hutter, Lars Kotthoff, and Joaquin Vanschoren (Eds.). 2019 · 2019
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TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning, See Hutter et al. (2019) , 163–173
Randal S. Olson and Jason H. Moore. 2019b · 2019
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Democratizing data science through interactive curation of ml pipelines. In Proceedings of the 2019 International Conference on Management of Data . 1171–1188
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, and Tim Kraska. 2019 · 2019
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An overview and comparison of free Python libraries for data mining and big data analysis. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) . IEEE, 977–982
Igor Stančin and Alan Jović. 2019 · 2019
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AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, and Alexander Smola. 2020 · 2020
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Vizdom: interactive analytics through pen and touch
Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, and Tim Kraska. 2015 · 2027
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