Learning

Information is ephemeral. True knowledge is foundational.

There is no such thing as easy learning: learning must be effortful in order for it to happen. Digital products make it uniquely easy to trick yourself into thinking that you are learning when you are actually being entertained.

For a long time I distinguished teaching and learning as two separate categories in my digital garden. But these two are interconnected. As a teacher you need to learn not to fall behing. I believe all people should learn all their lives. On the other hand, as a student you learn a topic best when you teach it to another person.

That’s why I decided to merge these two categories.

Before, in learning category I had topics which I myself was trying to learn and in teaching category there were usually study materials I made when teaching a subject or a topic to someone.

Now everything is on one pile and hopefully useful for at least one other person.

Want to learn

Things to put into ANKI

Misc

English

Terminology

Lex Fridman Podcast

notes on and scores of episodes

2023-11-28

Practical Deep Learning

notes from the course by fast.ai

2023-10-28

Notes on A hacker's guide to Language Models

notes taken during the video by Jeremy Howard

2023-10-02

Code Review Guidelines

how to do a good code review; resources; notes

2023-08-27

English Learning

English vocabulary to learn

2023-06-26

Machine Learning Notes

Notes from studying machine learning

2022-11-24

Audio Synthesis Notes

Notes from LinkedIn Learning Course on Audio Synthesis

2022-02-05

Spanish vocabulary

a list of Spanish words I need to learn

2022-01-21

Audio Mixing Bootcamp

An audio mixing course on LinkedIn Learning

2022-01-05

Modular Synthesis

Notes on modular synthesis in VCV Rack

2021-01-30

Machine Translation: Statistical approach

A study text prepared for PLIN019 Machine translation

2020-11-14

Machine Translation: Evaluation

A study text created for PLIN019 Machine translation

2020-11-14

Machine Translation: Mindmap

A hierarchy of important terms, relevant for PLIN019 Machine translation.

2019-12-29

Machine learning and neural networks in NLP

A brief survey of important topics from machine learning and natural language processing.

2019-12-29

PLIN19 Machine translation

Materiály pro předmět PLIN019 Strojový překlad.

2019-12-26

PLIN028 2019

Study material for PLIN028

2019-12-26

HTML úkoly

Úkoly pro PLIN028

2019-12-22

CSS předloha

PLIN028 study material

2019-12-22

Pavia Python Seminar

Materials for a Python course I gave in Pavia, Italy in 2019.

2019-05-09

Text lab in Pavia

Materials for Text Lab seminar I gave in Pavia, Italy in 2019.

2019-05-08

Python3 Babitas

Podklady k soukromému workshopu základy programování v Python

2018-11-18

Text Processing Kokořín

Materiály k workshopu pro datové žurnalisty.

2018-07-27

Machine Translation – Rule-based Systems

Second chapter on Machine Translation focused on the first approach to MT; rule-based systems.

2017-03-01

Machine Translation – Introduction

The first chapter on MT. Created for PLIN019 Machine Translation course.

2017-03-01

CSS

Study material for PLIN028, CSS.

2015-11-12

PLIN028 Samostudium 2015

materiály pro samostudium PLIN028, 2015 podzim

2015-09-22

HTML

PLIN028 study material

2014-11-20

Beamer

Study material for PLIN028, Beamer class for LaTeX.

2014-11-20
published: 2023-01-15
last modified: 2024-07-19

https://vit.baisa.cz/notes/learn/