Closed MennaEltaras closed 11 months ago
Math Exercise 1.1: Probability example A) A product https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_a8e07acd.py B) Joint probability generally https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_aba8ef46.py C) Conditional probability https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_75b17480.py D) Marginal probability https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_b63ebf79.py
Coding Exercise 1.2: Markov chains https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_ca188ef1.py https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_84b223c9.py
Interactive Demo 2.2: Maximum Likelihood inference https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_6338abeb.py
Coding Exercise 2.2: Maximum Likelihood Estimation https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_cf9bfae6.py
Section 2.2.3: Analytical solution https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_696ddd33.py
Think 3.1: Bayesian inference with Gaussian distribution https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_f615551e.py
Think 3.2: Bayesian Brains https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_f60d4b5d.py
Bonus Coding Exercise 1: Finding the posterior computationally https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_dfe9474d.py
Bonus Coding Exercise 2: Bayes Net https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_204db048.py
Links updated
Math Exercise 1.1: Probability example A) A product https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_a8e07acd.py B) Joint probability generally https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_aba8ef46.py C) Conditional probability https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_75b17480.py D) Marginal probability https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_b63ebf79.py
Coding Exercise 1.2: Markov chains https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_ca188ef1.py https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_84b223c9.py
Interactive Demo 2.2: Maximum Likelihood inference https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_6338abeb.py
Coding Exercise 2.2: Maximum Likelihood Estimation https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_cf9bfae6.py
Section 2.2.3: Analytical solution https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_696ddd33.py
Think 3.1: Bayesian inference with Gaussian distribution https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_f615551e.py
Think 3.2: Bayesian Brains https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_f60d4b5d.py
Bonus Coding Exercise 1: Finding the posterior computationally https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_dfe9474d.py
Bonus Coding Exercise 2: Bayes Net https://github.com/NeuromatchAcademy/precourse/tree/main//tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_204db048.py