{"id":154,"date":"2019-04-14T14:46:08","date_gmt":"2019-04-14T21:46:08","guid":{"rendered":"http:\/\/codingrestart.com\/home\/?p=154"},"modified":"2019-05-26T17:32:25","modified_gmt":"2019-05-27T00:32:25","slug":"anki-introduction","status":"publish","type":"post","link":"https:\/\/codingrestart.com\/home\/anki-introduction\/","title":{"rendered":"Anki: Introduction"},"content":{"rendered":"\n

This is the first article in a series of posts about Anki<\/a>, a spaced learning system to improve users’ long term memory. The next article in this series will cover the theoretical background<\/a> of spaced learning, and the final article will concentrate on best practices using Anki.<\/p>\n\n\n\n

I have been using Anki software for years to learn information that is important for me to remember for a long time. Such information can be defined very broadly and can include almost anything, from a penny test<\/a> to random forest<\/a> and The Starry Night<\/a>.<\/p>\n\n\n\n

I have almost ten thousand individual pieces of information in Anki and review them daily in about half an hour. I often hear comments like “There is no way you can review this amount of information daily!”, so let me explain.<\/p>\n\n\n\n

Anki is a system to store flashcards, where individual cards are scheduled for review at various intervals determined by an algorithm. The user reads a question on one side of the flash card and answers to herself. She then compares her answer to the correct answer displayed on the back of the card. If she answers the card correctly, the card will be offered for review in ever-increasing intervals. If she misses the question, the card is scheduled the next day to restart the learning cycle. Cards that the user has answered correctly many times are called mature cards and can be scheduled again after a year or more. Because each day the user reviews just a subset of the information contained on all her flashcards, all scheduled<\/em> cards can be reviewed daily in 30 minutes or so.<\/p>\n\n\n\n

Let’s look at how one card might look. Let’s assume I want to remember how The Starry Night painting by Vincent van Gogh looks. Here are screenshots of both sides of the card.<\/p>\n\n\n\n

\"\"
Flashcard front asking the user to visualize the painting.<\/figcaption><\/figure><\/div>\n\n\n\n
\"\"
And the answer provided on the back of the card.<\/figcaption><\/figure><\/div>\n\n\n\n

Similar questions can be created to inquire about the painter and the title of the painting. Indeed, questions can be created about anything.<\/p>\n\n\n\n

To recap what I covered today. If you want to remember something, no longer do you need to rely just on your memory. You can selectively choose what to remember. For a modest investment of 30 minutes or so daily, you can remember it for decades.<\/p>\n","protected":false},"excerpt":{"rendered":"

This is the first article in a series of posts about Anki, a spaced learning system to improve users’ long term memory. The next article in this series will cover the theoretical background of spaced learning, and the final article will concentrate on best practices using Anki. I have been using Anki software for years … Continue reading “Anki: Introduction”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[7],"tags":[],"class_list":["post-154","post","type-post","status-publish","format-standard","hentry","category-anki"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paAAlH-2u","jetpack-related-posts":[{"id":171,"url":"https:\/\/codingrestart.com\/home\/theory-behind-anki\/","url_meta":{"origin":154,"position":0},"title":"Theory Behind Anki","author":"Viktor Sanek","date":"April 23, 2019","format":false,"excerpt":"This post covers the theory behind Anki and follows the previous post introducing Anki. The last post in this series describes best practices for using Anki. One of the best meta-analyses reviewing best approaches to learning is Improving Students\u2019 Learning With Effective Learning Techniques by Dunlosky et al. If I\u2026","rel":"","context":"In "Anki"","block_context":{"text":"Anki","link":"https:\/\/codingrestart.com\/home\/category\/anki\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":180,"url":"https:\/\/codingrestart.com\/home\/anki-best-practices\/","url_meta":{"origin":154,"position":1},"title":"Anki: Best Practices","author":"Viktor Sanek","date":"April 28, 2019","format":false,"excerpt":"This post concludes the series of posts on Anki and follows the post introducing Anki and another one about the theory behind Anki. I have been using Anki for five years and achieved high consistency in completing daily reviews. Here are my best practices: Be selective about cards you create\u2026","rel":"","context":"In "Anki"","block_context":{"text":"Anki","link":"https:\/\/codingrestart.com\/home\/category\/anki\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":69,"url":"https:\/\/codingrestart.com\/home\/ml-msdn-and-xavier\/","url_meta":{"origin":154,"position":2},"title":"ML: MSDN and Xavier","author":"Viktor Sanek","date":"January 19, 2019","format":false,"excerpt":"Microsoft\u2019s MSDN magazine for its development community has been publishing quite a few introductory articles to Machine Learning (ML) over the past few months. January's issue emphasizes ML with another series of articles, albeit with differing qualities. 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A group of AI researchers published a paper titled \"Few-Shot Adversarial Learning of Realistic Neural Talking Head Models\", where they describe a new algorithm to generate videos of peoples' heads (talking\u2026","rel":"","context":"In "Machine Learning"","block_context":{"text":"Machine Learning","link":"https:\/\/codingrestart.com\/home\/category\/machine-learning\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/codingrestart.com\/wp-content\/uploads\/2019\/06\/Gans.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/codingrestart.com\/wp-content\/uploads\/2019\/06\/Gans.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/codingrestart.com\/wp-content\/uploads\/2019\/06\/Gans.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/codingrestart.com\/wp-content\/uploads\/2019\/06\/Gans.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":65,"url":"https:\/\/codingrestart.com\/home\/okrs\/","url_meta":{"origin":154,"position":5},"title":"OKRs","author":"Viktor Sanek","date":"January 13, 2019","format":false,"excerpt":"Recently I read several articles on OKRs\u00a0(Objectives and Key Results), a method for setting and tracking the goals leading to better alignment of goals in an organization. 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