{"product_id":"9781838556334","title":"Applied Supervised Learning with R : Use machine learning libraries of R to build models that solve business problems and predict future trends","description":"\u003cp\u003eLearn the ropes of supervised machine learning with R by studying popular real-world use cases, and understand how it drives object detection in driverless cars, customer churn, and loan default prediction.\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eStudy supervised learning algorithms by using real-world datasets\n\u003cbr\u003eFine-tune optimal parameters with hyperparameter optimization\n\u003cbr\u003eSelect the best algorithm using the model evaluation framework\u003c\/p\u003e\n\n\u003cp\u003eBook DescriptionR provides excellent visualization features that are essential for exploring data before using it in automated learning.\u003c\/p\u003e\n\n\u003cp\u003eApplied Supervised Learning with R helps you cover the complete process of employing R to develop applications using supervised machine learning algorithms for your business needs. The book starts by helping you develop your analytical thinking to create a problem statement using business inputs and domain research. You will then learn different evaluation metrics that compare various algorithms, and later progress to using these metrics to select the best algorithm for your problem. After finalizing the algorithm you want to use, you will study the hyperparameter optimization technique to fine-tune your set of optimal parameters. The book demonstrates how you can add different regularization terms to avoid overfitting your model.\u003c\/p\u003e\n\n\u003cp\u003eBy the end of this book, you will have gained the advanced skills you need for modeling a supervised machine learning algorithm that precisely fulfills your business needs.What you will learn\u003c\/p\u003e\n\n\u003cp\u003eDevelop analytical thinking to precisely identify a business problem\n\u003cbr\u003eWrangle data with dplyr, tidyr, and reshape2\n\u003cbr\u003eVisualize data with ggplot2\n\u003cbr\u003eValidate your supervised machine learning model using k-fold\n\u003cbr\u003eOptimize hyperparameters with grid and random search, and Bayesian optimization\n\u003cbr\u003eDeploy your model on Amazon Web Services (AWS) Lambda with plumber\n\u003cbr\u003eImprove your model's performance with feature selection and dimensionality reduction\u003c\/p\u003e\n\n\u003cp\u003eWho this book is forThis book is specially designed for beginner and intermediate-level data analysts, data scientists, and data engineers who want to explore different methods of supervised machine learning and its use cases. Some background in statistics, probability, calculus, linear algebra, and programming will help you thoroughly understand and follow the concepts covered in this book.\u003c\/p\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":42609263476811,"sku":"00000_00000_00000_00000","price":1817.96,"currency_code":"THB","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0641\/0023\/7387\/files\/9781838556334-1.jpg?v=1783478049","url":"https:\/\/kinokuniya.co.th\/products\/9781838556334","provider":"Books Kinokuniya Thailand","version":"1.0","type":"link"}