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short intro to ml

Sparisoma Viridi
4 mins read ·

A very short intro to Machine Learning mostly with illustrations.

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There some available references 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25.

Refs:

  1. ypd4x Ethem Alpaydin, “Introduction to Machine Learning”, Adaptive Computation and Machine Learning series, The MIT Press, 3rd edition, 22 Aug 2024, url https://isbnsearch.org/isbn/9780262028189 [20241110]. ↩︎

  2. aub9f Christopher M. Bishop, “Pattern Recognition and Machine Learning”, Information Science and Statistics series, Springer, 1st edition, 17 Aug 2006, url https://isbnsearch.org/isbn/9780387310732 [20241110]. ↩︎

  3. mbx8d Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, “Mathematics for Machine Learning”, Cambridge University Press, 1st edition, 23 Apr 2020, url https://isbnsearch.org/isbn/9781108455145 [20241110]. ↩︎

  4. 67cz3 Genesis Elhussein, Elselot Hasselaar, Ostap Lutsyshyn, Tanya Milberg, Saadia Zahidi, “Shaping the Future of Learning: The Role of AI in Education 4.0”, World Economic Forum, Insight Report, Apr 2024, url https://www3.weforum.org/docs/WEF_Shaping_the_Future_of_Learning_2024.pdf [20241110]. ↩︎

  5. zqe52 François Fleuret, “The Little Book of Deep Learning”, Université de Genève, version 1.2, 19 May 2024, url https://isbnsearch.org/isbn/9789732346495 [20241110]. ↩︎

  6. xj285 Ian Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning”, MIT Press, 1st edition, 2016, url https://www.deeplearningbook.org/ [20241110]. ↩︎

  7. eapb3 Zbigniew Gajewski, “How artificial intelligence will change our lives in 5 years”, THINKbook, Centre for International Relations & Konrad Adenauer Stiftung, 2020, url https://www.kas.de/documents/279510/11259918/How+AI+will+change+our+lives+in+5+years%2C+Raport+by+Zbigniew+Gajewski.pdf/99d89c47-0233-67a7-c706-55e5275da4b3?version=1.1&t=1611849488440 [20241110]. ↩︎

  8. ygt8r Arran Hamilton, Dylan Wiliam, John Hattie, “The Future of AI in Education: 13 things we can do to minimize the damage”, OSF, Aug 2023, url https://dx.doi.org/10.35542/osf.io/372vr . ↩︎

  9. v92cu Peter Harrington, “Machine Learning in Action”, Manning Publications, 1st edition, 2012, url https://isbnsearch.org/isbn/9781617290183 [20241110]. ↩︎

  10. s8auq Christian Janiesch, Patrick Zschech, Kai Heinrich, “Machine learning and deep learning”, Electronic Markets, vol 31, pp 685–695, Sep 2021, url https://doi.org/10.1007/s12525-021-00475-2 . ↩︎

  11. 723eh Bernd Klein, “Machine Learning with Python Tutorial”, bodenseo, 2021, url https://python-course.eu/books/bernd_klein_python_and_machine_learning_a4.pdf [20241110]. ↩︎

  12. xwgnr Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman, “Data Science and Machine Learning: Mathematical and Statistical Methods”, Chapman and Hall/CRC, 1st edition, 22 Nov 2019, url https://isbnsearch.org/isbn/9781138492530 [20241110]. ↩︎

  13. mfw6j Miroslav Kubat, “An Introduction to Machine Learning”, Springer, 2nd edition, 1 Jan 2017, url https://isbnsearch.org/isbn/9783319639123 [20241110]. ↩︎

  14. e6kj5 Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han, “Tiny Machine Learning: Progress and Futures”, arXiv:2403.19076v2 [cs.LG], 29 Mar 2024, url https://doi.org/10.48550/arXiv.2403.19076 . ↩︎

  15. xsnz9 Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, Thomas B. Schön, “Machine Learning: A First Course for Engineers and Scientists”, Cambridge University Press, 1st edition, 2 Jun 2022, url https://isbnsearch.org/isbn/9781108843607 [20241110]. ↩︎

  16. 2uy3n Tom M. Mitchell, “Machine Learning”, McGraw-Hill Education, 1st edition, 1 Mar 1997, url https://isbnsearch.org/isbn/9780070428072 [20241110]. ↩︎

  17. wz2gt Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, “Foundations of Machine Learning”, Adaptive Computation and Machine Learning series), The MIT Press, 1st edition, 17 Aug 2018, url https://isbnsearch.org/isbn/9780262018258 [20241110]. ↩︎

  18. f68ty Andreas Müller, Sarah Guido, “Introduction to Machine Learning with Python: A Guide for Data Scientists”, O’Reilly Media, 1st edition, 15 Nov 2016, url https://isbnsearch.org/isbn/9781449369415 [20241110]. ↩︎

  19. 3m7rw Kevin P. Murphy, “Machine Learning: A Probabilistic Perspective”, The MIT Press, 1st edition, 24 Aug 2012, url https://isbnsearch.org/isbn/9780262018029 [20241110]. ↩︎

  20. vd4tu Sebastian Raschka, Yuxi Liu (Hayden), Vahid Mirjalili, “Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python”, Packt Publishing, 1st edition, 25 Feb 2022, url https://isbnsearch.org/isbn/9781801819312 [20241110]. ↩︎

  21. kzt9g Iqbal H. Sarker, “Machine Learning: Algorithms, Real‑World Applications and Research Directions”, SN Computer Science, vo 2, p 160, 2021, url https://doi.org/10.1007/s42979-021-00592-x . ↩︎

  22. jehc3 Pramila P. Shinde, Seema Shah, “A Review of Machine Learning and Deep Learning Applications”, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), Pune, India, 2018, pp. 1-6, url https://doi.org/10.1109/ICCUBEA.2018.8697857 . ↩︎

  23. vg6h7 Jonathan Richard Shewchuk, “Concise Machine Learning”, CS 189/289A, Machine Learning, Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, 25 Apr 2024, url https://people.eecs.berkeley.edu/~jrs/papers/machlearn.pdf [20241110]. ↩︎

  24. 84syk -, “Reflecting the Past, Shaping the Future: Making AI Work for International Development”, USAID from the American People, 5 Sep 2018, url https://www.usaid.gov/sites/default/files/2022-05/AI-ML-in-Development.pdf [20241110]. ↩︎

  25. pxeg7 Ian H. Witten, Eibe Frank, Mark A. Hall, “Data Mining: Practical Machine Learning Tools and Techniques”, The Morgan Kaufmann Series in Data Management Systems, Morgan Kaufmann, 3rd edition, 20 Jan 2011, url https://isbnsearch.org/isbn/9780123748560 [20241110]. ↩︎

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