teaching:methcalchim:start

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teaching:methcalchim:start [2018/10/18 10:01] – villersdteaching:methcalchim:start [2019/05/13 11:45] – [Miscellaneous] villersd
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 === Linear and non-linear least squares approximations === === Linear and non-linear least squares approximations ===
-Application to deconvolution (Levenberg–Marquardt algorithm)+  * Application to deconvolution (Levenberg–Marquardt algorithm) 
 +  * Reférences : 
 +    * [[https://pubs.acs.org/doi/abs/10.1021/acs.jchemed.8b00649|An Open-Source, Cross-Platform Resource for Nonlinear Least-Squares Curve Fitting]] Andreas Möglich, J. Chem. Educ., 2018, 95 (12), pp 2273–2278 DOI: 10.1021/acs.jchemed.8b00649 
  
 === Chebyshev approximation === === Chebyshev approximation ===
 ++ discussion of some approximations like [[wp>Bhaskara_I's_sine_approximation_formula|Bhaskara I's sine approximation formula]]
  
 === Molecules modelisation and visualization === === Molecules modelisation and visualization ===
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   * Machine Learning   * Machine Learning
     * Scikit-learn     * Scikit-learn
 +      * [[https://towardsdatascience.com/linear-regression-in-6-lines-of-python-5e1d0cd05b8d|Linear Regression in 6 lines of Python]] (using scikit-learn)
     * [[https://datafloq.com/read/12-algorithms-every-data-scientist-should-know/2024|12 Algorithms Every Data Scientist Should Know]]     * [[https://datafloq.com/read/12-algorithms-every-data-scientist-should-know/2024|12 Algorithms Every Data Scientist Should Know]]
   * Deep Learning   * Deep Learning
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   * Published applications   * Published applications
     * [[http://pubs.acs.org/doi/10.1021/acs.jchemed.7b00395|Introduction to Stochastic Simulations for Chemical and Physical Processes: Principles and Applications]] Charles J. Weiss, Journal of Chemical Education 2017 94 (12), 1904-1910 DOI: 10.1021/acs.jchemed.7b00395     * [[http://pubs.acs.org/doi/10.1021/acs.jchemed.7b00395|Introduction to Stochastic Simulations for Chemical and Physical Processes: Principles and Applications]] Charles J. Weiss, Journal of Chemical Education 2017 94 (12), 1904-1910 DOI: 10.1021/acs.jchemed.7b00395
 +  * [[https://medium.freecodecamp.org/an-overview-of-the-gradient-descent-algorithm-8645c9e4de1e|An overview of the Gradient Descent algorithm]]
  
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  • teaching/methcalchim/start.txt
  • Dernière modification : 2023/04/12 10:08
  • de villersd