====== Week 1 ======

Program:
  * Organization. 
  * **Basics of Python**
    * {{:courses:ui:exercises:intro_python_description.pdf|Python introduction}}
    * Suggested Python textbook: [[http://www.diveinto.org/python3/|Dive into Python]] ([[https://github.com/downloads/diveintomark/diveintopython3/dive-into-python3.pdf|PDF]])
    * Brief introduction to Python from the labs: [[https://github.com/jirispilka/IntroductionPython/blob/master/IntroductionPython.ipynb|Introduction to python (jupyter notebook)]]
  * **Basics of ML**
    * {{:courses:ui:exercises:intro_ml_description.pdf|ML introduction}}
    * {{:courses:ui:exercises:ml_intro.zip|ML introduction codes}}

**Homework A:**
  * [[courses:ui:exercises:python_installation|Install Python and PyCharm]] on your home computer.
  * Familiarize yourself with the Python language: read the assignment description and learn the suggested parts.
  * Ask questions on the Forum.
  * **Nothing to hand in.**

**Homework B:**
  * Read the assignment of exercise B for the next week (Bayesian and Non-Bayesian tasks).
  * Do your best to understand its solution. It does not matter if you do not understand everything. Next week we shall review the solution and clarify everything.
  * Try to execute the commands yourself, try to write ''bayes.py'' script containing the commands.
  * If needed, **ask questions** on the Forum.