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Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

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Sebastian Raschka: Super excited to share a preprint of a relatively comprehensive review "Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence" @datametrician, @cjnolet and I have been working on! https://arxiv.org/abs/2002.04803 https://t.co/G1aWm4QrgE

15 replies, 777 likes


Joshua Patterson: This might be the first academic paper of @dask_dev with @RAPIDSai acceleration, along with many other #Python machine learning libraries. Thank you @cjnolet and @rasbt for all your hard work, and of course, the RAPIDS powered community for giving us things to write about.

1 replies, 104 likes


Tom Schwaller: Very nice overview of "Machine Learning in Python" from @rasbt, @datametrician and @cjnolet. https://arxiv.org/abs/2002.04803 https://t.co/FFHzu9cpO2

1 replies, 77 likes


Carl Anderson: For journal club today, we read @rasbt's new article: "Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence" Broad, well-articulated, and really useful review of the space https://arxiv.org/abs/2002.04803

1 replies, 38 likes


OGAWA, Tadashi: => "Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence", .., NVIDIA, arXIv, Feb 12, 2020 https://arxiv.org/abs/2002.04803 223 references http://pages.stat.wisc.edu/~sraschka/publications/ GPUDirect Storage https://twitter.com/ogawa_tter/status/1205310718196633600 RAPIDS https://t.co/tX1yq9IHa5

1 replies, 30 likes


Will Koehrsen: Preprint of a new paper on "Machine Learning in Python" https://arxiv.org/abs/2002.04803

0 replies, 16 likes


Statistics Papers: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. http://arxiv.org/abs/2002.04803

0 replies, 14 likes


Peter Wang: This looks pretty darn good

0 replies, 13 likes


OGAWA, Tadashi: => "GPUDirect Storage: Transfer Data Directly to GPU Memory, Alleviating IO Bottlenecks", NVIDIA SC19, Nov 20, 2019 Video https://on-demand.gputechconf.com/supercomputing/2019/video/sc1922-gpudirect-storage-transfer-data-directly-to-gpu-memory-alleviating-io-bottlenecks/ Slides https://on-demand.gputechconf.com/supercomputing/2019/pdf/sc1922-gpudirect-storage-transfer-data-directly-to-gpu-memory-alleviating-io-bottlenecks.pdf RAPIDS, Sep 2019 https://twitter.com/ogawa_tter/status/1176605978227142656 GPUDirect Storage, Blog, Aug 2019 https://twitter.com/ogawa_tter/status/1159401097200459776 https://t.co/5bXrJKQuJl

1 replies, 12 likes


Remy: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence https://arxiv.org/abs/2002.04803 This recent article covers a lot of tools & trends in ML. Also includes a section on explainability and interpretability.

1 replies, 9 likes


José A. Alonso: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. ~ Sebastian Raschka, Joshua Patterson, Corey Nolet. https://arxiv.org/abs/2002.04803 #MachineLearning #AI #Python

0 replies, 7 likes


Theophano Mitsa: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence https://arxiv.org/pdf/2002.04803.pdf #MachineLearning

0 replies, 5 likes


Andrew Palumbo: Thanks very much @rabst et al. this is a great write-up. Captures the past several years perfectly #python #mkl @ApacheSpark #CuPy #spark #mpi #cuda @PyTorch @TensorFlow @numba_jit @rapidsai @dask_dev #CuDf #CuMl @cusignal @ApacheMXNet @caffe2ai #jit, viz. ibs, algos, more.

0 replies, 4 likes


BIcortex: Interesting read for #ML engineers and #DataScience practitioner...'Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence' @ https://arxiv.org/abs/2002.04803 #MachineLearning #Python #AI #ArtificialInteligence

2 replies, 4 likes


Danylo Baibak: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence #Python #DataScience #MachineLearning #DeepLearing https://arxiv.org/abs/2002.04803 https://t.co/BYLNyY14sO

0 replies, 1 likes


Darvish Lee Shadravan: Excellent article by @rasbt and team. If you're interested in the Python-based data science / ML world, it's definitely worth the time to read this. https://arxiv.org/abs/2002.04803 #MachineLearning #Python

0 replies, 1 likes


Brundage Bot: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. Sebastian Raschka, Joshua Patterson, and Corey Nolet http://arxiv.org/abs/2002.04803

1 replies, 0 likes


esmaeel.eskandari: https://arxiv.org/abs/2002.04803 💠Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence by: Nvidia & University of Wisconsin-Madison Researchers https://t.co/2F71o0hisG

1 replies, 0 likes


Content

Found on Feb 13 2020 at https://arxiv.org/pdf/2002.04803.pdf

PDF content of a computer science paper: Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence