Apply your models to the MNIST dataset for handwriting classification. There are various ways to get this dataset, but perhaps the easiest is to pull it in through the keras package. Besides having keras is useful anyway. You may need to reduce the dimension of the data and\/or the number of samples to get this to work in a re<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"Problem Set 5 This is to be completed by November 23rd, 2017. Exercises Datacamp Complete the lesson: a. Machine Learning Toolbox R Lab: Write a function in R that will take in a vector of discrete variables and will produce the corresponding one hot encodings. Write a function in R that will take in a … Continue reading “Problem Set 5”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"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":[1],"tags":[],"class_list":["post-531","post","type-post","status-publish","format-standard","hentry","category-general"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p9dIpN-8z","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":508,"url":"http:\/\/www.nullplug.org\/ML-Blog\/2017\/11\/09\/problem-set-4\/","url_meta":{"origin":531,"position":0},"title":"Problem Set 4","author":"Justin Noel","date":"November 9, 2017","format":false,"excerpt":"Problem Set 4 This is to be completed by November 16th, 2017. Exercises Datacamp Complete the lessons: a. Supervised Learning in R: Regression b. Supervised Learning in R: Classification c. Exploratory Data Analysis (If you did not already do so) Let $\\lambda\\geq 0$, $X\\in \\Bbb R^n\\otimes \\Bbb R^m$, $Y\\in \\Bbb\u2026","rel":"","context":"In "General"","block_context":{"text":"General","link":"http:\/\/www.nullplug.org\/ML-Blog\/category\/general\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":214,"url":"http:\/\/www.nullplug.org\/ML-Blog\/2017\/10\/04\/linear-regression\/","url_meta":{"origin":531,"position":1},"title":"Linear Regression","author":"Justin Noel","date":"October 4, 2017","format":false,"excerpt":"Prediction is very difficult, especially about the future. - Niels Bohr The problem Suppose we have a list of vectors (which we can think of as samples) $x_1, \\cdots, x_m\\in \\Bbb R^n$ and a corresponding list of output scalars $y_1, \\cdots, y_m \\in \\Bbb R$ (which we can regard as\u2026","rel":"","context":"In "Regression"","block_context":{"text":"Regression","link":"http:\/\/www.nullplug.org\/ML-Blog\/category\/regression\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.nullplug.org\/ML-Blog\/wp-content\/uploads\/2017\/10\/trace.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.nullplug.org\/ML-Blog\/wp-content\/uploads\/2017\/10\/trace.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/www.nullplug.org\/ML-Blog\/wp-content\/uploads\/2017\/10\/trace.png?resize=525%2C300 1.5x"},"classes":[]},{"id":563,"url":"http:\/\/www.nullplug.org\/ML-Blog\/2018\/01\/13\/problem-set-11\/","url_meta":{"origin":531,"position":2},"title":"Problem Set 11","author":"Justin Noel","date":"January 13, 2018","format":false,"excerpt":"Problem Set 11 This is to be completed by January 18th, 2018. Exercises Datacamp Complete the lesson: a. Intermediate Python for Data Science What is the maximum depth of a decision tree trained on $N$ samples? If we train a decision tree to an arbitrary depth, what will be the\u2026","rel":"","context":"In "General"","block_context":{"text":"General","link":"http:\/\/www.nullplug.org\/ML-Blog\/category\/general\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":35,"url":"http:\/\/www.nullplug.org\/ML-Blog\/2017\/09\/26\/supervised-learning\/","url_meta":{"origin":531,"position":3},"title":"Supervised Learning","author":"Justin Noel","date":"September 26, 2017","format":false,"excerpt":"A big computer, a complex algorithm, and a long time does not equal science. - Robert Gentleman Examples Before getting into what supervised learning precisely is, let's look at some examples of supervised learning tasks: Identifying breast cancer. A sample study. Image classification. List of last year's ILSVRC Winners Threat\u2026","rel":"","context":"In "Supervised Learning"","block_context":{"text":"Supervised Learning","link":"http:\/\/www.nullplug.org\/ML-Blog\/category\/supervised-learning\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":33,"url":"http:\/\/www.nullplug.org\/ML-Blog\/2017\/09\/26\/machine-learning-overview\/","url_meta":{"origin":531,"position":4},"title":"Machine Learning Overview","author":"Justin Noel","date":"September 26, 2017","format":false,"excerpt":"Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it. 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