{"id":5444,"date":"2021-04-26T22:24:04","date_gmt":"2021-04-26T20:24:04","guid":{"rendered":"https:\/\/joapen.com\/blog\/?p=5444"},"modified":"2021-05-12T19:35:25","modified_gmt":"2021-05-12T17:35:25","slug":"learning-while-reading-kaggle-posts","status":"publish","type":"post","link":"http:\/\/joapen.com\/blog\/2021\/04\/26\/learning-while-reading-kaggle-posts\/","title":{"rendered":"Increasing my knowledge on Machine Learning"},"content":{"rendered":"\n<p>This post covers different readings and learnings I&#8217;m working to gain knowledge on Machine Learning.<\/p>\n\n\n\n<p>At this moment, to me, there are 4 pillars of knowledge that I should gain when talking about Machine Learning. These are:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Models &amp; math&#8217;s knowledge.<\/li><li>Software Programing: python (it&#8217;s the one I will use).<\/li><li>How the machine learning initiatives are organized: lifecycle, and other things.<\/li><li>Computer systems: hardware and computer configuration<\/li><\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">1. Models &amp; math&#8217;s knowledge<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Different types of classifications to explore<\/h3>\n\n\n\n<p>1.1 Different classifiers could be exploited here from the scikit-learn library:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>DecisionTreeClassifier<\/li><li>LogisticRegression<\/li><li>KNeighborsClassifier<\/li><li>RandomForestClassifier<\/li><li>AdaBoostClassifier<\/li><li>GradientBoostingClassifier<\/li><li>Support Vector Machines<\/li><li>MLPClassifier<\/li><li>GaussianNB etc.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">1.1.1 What is Regression in Machine Learning?<\/h3>\n\n\n\n<p>Regression is a technique used to predict values across a certain range. Example: consider the salaries of employees and their experience in years; then a regression model on this data can help in predicting the salary of an employee even if that year is not having a corresponding salary in the dataset.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1.2 What is an ensemble technique?<\/h3>\n\n\n\n<p>In ensemble learning, you take multiple algorithms or same algorithm multiple times and put together a model that\u2019s more powerful than the original.<\/p>\n\n\n\n<p>Random forest regression is an ensemble learning technique.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1.3 What is Random Forest Regression?<\/h3>\n\n\n\n<p>This is a four step process and our steps are as follows:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Pick a random K data points from the training set.<\/li><li>Build the decision tree associated to these K data points.<\/li><li>Choose the number N tree of trees you want to build and repeat steps 1 and 2.<\/li><li>For a new data point, make each one of your N tree trees predict the value of Y for the data point in the question, and assign the new data point the average across all of the predicted Y values.<\/li><\/ol>\n\n\n\n<p>Source: <a href=\"https:\/\/www.askpython.com\/python\/examples\/random-forest-regression#what-is-random-forest-regression\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a> .<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1.4 One hot encoding<\/h3>\n\n\n\n<p>One-hot encoding is used in machine learning as a method to <strong>quantify categorical data<\/strong>. In short, this method produces a vector with length equal to the number of categories in the data set. If a data point belongs to the category then components of this vector are assigned the value 0 except for the first component, which is assigned a value of 1. In this way one can keep track of the categories in a numerically meaningful way.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>[0,1,0,0] \/\/ female<\/li><li>[0,1,0,0]<\/li><li>[0,1,0,0]<\/li><li>[0,1,0,0]<\/li><li>[1,0,0,0] \/\/ male<\/li><li>[1,0,0,0]<\/li><li>[1,0,0,0]<\/li><li>[0,0,1,0] \/\/ gender-neutral<\/li><li>[0,0,0,1] \/\/ other<\/li><li>[0,0,0,1]<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">1.5 What is a transformer neural network?<\/h3>\n\n\n\n<p>Types of neural networks:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Vector to sequence model: image identification to text.<\/li><li>Sequence to vector model: sentiment analysis<\/li><li>Sequence to sequence model: language translation.<\/li><\/ul>\n\n\n\n<p>This architecture appeared in 2017.<\/p>\n\n\n\n<p>This video explains it really well: <a href=\"https:\/\/www.youtube.com\/watch?v=TQQlZhbC5ps\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.youtube.com\/watch?v=TQQlZhbC5ps<\/a>.<\/p>\n\n\n\n<p>Parts of a transformer<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Embedding: one instance of some mathematical structure contained within another instance.<\/li><li>Positional encoder: vector that gives context based on position of word in sentence.<\/li><li>Encoder block, Attention: what part of the input should we focus?<\/li><li>Decoder: linear layers and attention layers.<\/li><li>Linear layer: feed forward layer.<\/li><li>Softmax: probability distribution.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1600\/1*hrv57vKFuepEKIjXbZz0OA.png\" alt=\"The Transformer Architecture\"\/><figcaption>The Transformer Architecture<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">2. Software Programing<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">2.1 A basic notebook running sequential model with Keras<\/h3>\n\n\n\n<p>This notebook was very useful to review it and understand how to run Keras sequential model.<\/p>\n\n\n\n<p>This video explains really well how it works with a picture: <a href=\"https:\/\/www.youtube.com\/watch?v=EvGS3VAsG4Y\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.youtube.com\/watch?v=EvGS3VAsG4Y<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"941\" height=\"521\" src=\"https:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1.png\" alt=\"\" class=\"wp-image-5539\" srcset=\"http:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1.png 941w, http:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1-300x166.png 300w, http:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1-768x425.png 768w, http:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1-24x13.png 24w, http:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1-36x20.png 36w, http:\/\/joapen.com\/blog\/wp-content\/uploads\/2021\/05\/image-1-48x27.png 48w\" sizes=\"auto, (max-width: 941px) 100vw, 941px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">2.2 What is &#8220;Epochs&#8221;?<\/h3>\n\n\n\n<p>It can be described as one <strong>complete cycle<\/strong> through the <strong>entire training<\/strong> dataset and indicates the number of <strong>passes<\/strong> that the machine learning algorithm has completed during that training.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. How the machine learning initiatives are organized<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">3.1 Steps for a complete rich code<\/h3>\n\n\n\n<p>This <a href=\"https:\/\/www.kaggle.com\/ioanniskaragiannis87\/titanic-ml-to-the-rescue\" target=\"_blank\" rel=\"noreferrer noopener\">post<\/a> contains the whole list on a notebook:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Exploratory Data Analysis (EDA)<\/li><li>Data Cleaning and further EDA<\/li><li>Feature Engineering (FA)<\/li><li>Train\/test split of data<\/li><li>Classification and model<\/li><li>Make Predictions on True Test Dataset<\/li><li>Submit solution<\/li><li>Analyze and evaluate predictions<\/li><li>Room for improvement<\/li><\/ol>\n\n\n\n<p><a href=\"https:\/\/www.kaggle.com\/gunesevitan\/titanic-advanced-feature-engineering-tutorial\">https:\/\/www.kaggle.com\/gunesevitan\/titanic-advanced-feature-engineering-tutorial<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3.2 How to solve <a href=\"https:\/\/joapen.com\/blog\/2021\/05\/12\/how-to-solve-time-series-problems-with-machine-learning\/\" target=\"_blank\" rel=\"noreferrer noopener\">Time Series problems<\/a>.<\/h3>\n\n\n\n<h2 class=\"wp-block-heading\">4. Computer systems<\/h2>\n\n\n\n<p>Here a bunch of things related to GPUs and other computer&#8217;s stuff.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>GPUs benchmark: <a href=\"https:\/\/gpu.userbenchmark.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/gpu.userbenchmark.com\/<\/a><\/li><li>Jetson Nano, a competitor of Raspberry: <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-nano\/education-projects\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-nano\/education-projects\/<\/a><\/li><\/ul>\n\n\n\n<p>Tunneling project: a machine learning project can be seen as a mining project in a way that you do not know where the result is going to be, so you have to dig several tunnels to find it. <\/p>\n\n\n\n<p>In machine learning, the infrastructure project that has the objective of enable the required infrastructure and be able to keep the cost under control.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This post covers different readings and learnings I&#8217;m working to gain knowledge on Machine Learning. At this moment, to me, there are 4 pillars of knowledge that I should gain when talking about Machine Learning. These are: Models &amp; math&#8217;s knowledge. Software Programing: python (it&#8217;s the one I will use). How the machine learning initiatives &#8230; <a title=\"Increasing my knowledge on Machine Learning\" class=\"read-more\" href=\"http:\/\/joapen.com\/blog\/2021\/04\/26\/learning-while-reading-kaggle-posts\/\" aria-label=\"Read more about Increasing my knowledge on Machine Learning\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":5446,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[151,197],"tags":[213],"class_list":["post-5444","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","category-to-do-list","tag-kaggle"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Increasing my knowledge on Machine Learning -<\/title>\n<meta name=\"description\" content=\"This post covers different readings and learnings I&#039;m working to gain knowledge on Machine Learning. 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