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useful_links [2018/05/08 08:45]
anderson [Recent News]
useful_links [2021/10/14 12:26]
anderson [Python]
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 This page will contain links to helpful on-line material. This page will contain links to helpful on-line material.
 +
 +===== Software Installed on CS Network =====
 +
 +[[https://sna.cs.colostate.edu/software/jupyter/|Systems and Network Administration]]
  
 ===== Jobs in Machine Learning ===== ===== Jobs in Machine Learning =====
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 ===== Recent News ===== ===== Recent News =====
 +
 +[[https://distill.pub/|Distill]], useful explanations of machine learning concepts.
 +
 +[[https://groups.google.com/g/ml-news?pli=1|ML News Google Group]]
 +
 +[[https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists|Connectionists Mailing List]]
 +
 +[[https://towardsdatascience.com/|Towards Data Science, introductions and tutorials related to machine learning]]
 +
 +[[https://aitopics.org/class/AI-Alerts|AAAI AI-Alerts]]
 +
 +[[https://www.deeplearningweekly.com/|Deep Learning Weekly]]
 +
 +[[https://medium.com/topic/machine-learning|Medium: Machine Learning]]
 +
 +[[https://thegradient.pub/|The Gradient]]
 +
 +
 +[[https://videos.neurips.cc/|NeurIPS Conference Videos]]
 +
 +[[https://www.exponentialview.co/Exponential View Newsletter]] has cool visualizations of data related to many current and future issues, such as environment and energy.
  
 [[https://www.theverge.com/2018/5/7/17316010/fast-ai-speed-test-stanford-dawnbench-google-intel|An AI speed test shows clever coders can still beat tech giants like Google and Intel]], by James Vincent, May 7, 2018 [[https://www.theverge.com/2018/5/7/17316010/fast-ai-speed-test-stanford-dawnbench-google-intel|An AI speed test shows clever coders can still beat tech giants like Google and Intel]], by James Vincent, May 7, 2018
  
  
-[[http://www.deeplearningweekly.com|Deep Learning Weekly]] newsletter+[[http://www.deeplearningweekly.com|Deep Learning Weekly]] newsletter: Check out [[https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdeeplearningweekly.us16.list-manage.com%2Ftrack%2Fclick%3Fu%3Dde53bead690affb8e9a21de8f%26id%3Dd826406963%26e%3Dd3d9a16e4c&data=02%7C01%7Cchuck.anderson%40colostate.edu%7C00f48b8f22284fee6d3808d76858d23b%7Cafb58802ff7a4bb1ab21367ff2ecfc8b%7C0%7C0%7C637092603010658440&sdata=c9K39Cd5Z94jfmRaX5wpweTcJncBiqliCz7QBywv8KE%3D&reserved=0|this Nov, 2019 video by Andrej Karpathy]], Head of AI at Tesla, summarizing Tesla's deep learning approach to self-driving cars.
  
  
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 [[https://www.kaggle.com/benhamner/2016-us-election/|2016 US Elections]] [[https://www.kaggle.com/benhamner/2016-us-election/|2016 US Elections]]
  
-[[https://groups.google.com/forum/#!forum/ml-news|Machine Learning News google group]] 
  
 [[https://groups.google.com/forum/?utm_source=digest&utm_medium=email/#!forum/jupyter|Ipython Notebook (Jupyter) google group]] [[https://groups.google.com/forum/?utm_source=digest&utm_medium=email/#!forum/jupyter|Ipython Notebook (Jupyter) google group]]
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 [[http://www.dataquest.io/blog/images/cheat-sheets/numpy-cheat-sheet.pdf|Numpy Cheat Sheet]] [[http://www.dataquest.io/blog/images/cheat-sheets/numpy-cheat-sheet.pdf|Numpy Cheat Sheet]]
 +
 +[[https://www.tutorialspoint.com/python_pandas/python_pandas_groupby.htm|Tutorial on using groupby and other functions in pandas.]]
 +
 +[[https://adventuresinmachinelearning.com/neural-networks-tutorial/|Neural Networks Tutorial]] (excellent introduction to neural nets with python and numpy)
 +
 +[[https://github.com/tirthajyoti/Machine-Learning-with-Python|Machine Learning with Numpy]] (very thorough set of jupyter notebooks as tutorials to numpy, pandas, neural networks, and other topics)
 +
 +
 +[[https://mlfromscratch.com/neural-network-tutorial/#/|Neural Network Tutorial with Numpy]]
  
 [[https://realpython.com/blog/python/emacs-the-best-python-editor/|Emacs - the Best Python Editor?]] [[https://realpython.com/blog/python/emacs-the-best-python-editor/|Emacs - the Best Python Editor?]]
 +
 +[[https://www.youtube.com/watch?v=5mDYijMfSzs|Installing and running python and jupyter notebook on Windows 10]]
 +
 +===== IDEs =====
 +
 +[[https://medium.com/dsights/visual-studio-code-for-data-science-the-more-i-use-more-i-like-ac668731dbb5|Visual Studio Code for Data Science]]
 +
 +[[https://www.jetbrains.com/pycharm/|Pycharm]]
 +
 +[[https://realpython.com/vim-and-python-a-match-made-in-heaven/|Vim]]
 +
 +[[https://realpython.com/emacs-the-best-python-editor/|Emacs]]
 +
 +===== Visualizations in Python =====
 +
 +[[https://pyviz.org/|PyVis]] A nice overview of visualization packages available in python.
 +
 +===== Math =====
 +
 +[[https://mml-book.github.io/|Mathematics for Machine Learning]], by  Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.
 +
 ===== Notebook ===== ===== Notebook =====
 +
 +[[https://ljvmiranda921.github.io/notebook/2018/01/31/running-a-jupyter-notebook//|Running your jupyter notebook on a remote machine]]
  
 [[https://github.com/Calysto/notebook-extensions|Spell checking and other extensions]] [[https://github.com/Calysto/notebook-extensions|Spell checking and other extensions]]
useful_links.txt ยท Last modified: 2021/10/14 12:26 by anderson