{"product_id":"9781789807943-r-machine-learning-projects","title":"R Machine Learning Projects","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eImplement supervised, unsupervised, and reinforcement learning techniques using R 3.5. The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches. \u003cp\u003e\u003cb\u003eMaster a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more\u003c\/b\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eMaster machine learning, deep learning, and predictive modeling concepts in R 3.5\u003c\/li\u003e\n\u003cli\u003eBuild intelligent end-to-end projects for finance, retail, social media, and a variety of domains\u003c\/li\u003e\n\u003cli\u003eImplement smart cognitive models with helpful tips and best practices\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eR is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization.\u003c\/p\u003e \u003cp\u003eThis book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you’ll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You’ll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine.\u003c\/p\u003e \u003cp\u003eBy the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eExplore deep neural networks and various frameworks that can be used in R\u003c\/li\u003e\n\u003cli\u003eDevelop a joke recommendation engine to recommend jokes that match users’ tastes\u003c\/li\u003e\n\u003cli\u003eCreate powerful ML models with ensembles to predict employee attrition\u003c\/li\u003e\n\u003cli\u003eBuild autoencoders for credit card fraud detection\u003c\/li\u003e\n\u003cli\u003eWork with image recognition and convolutional neural networks \u003c\/li\u003e\n\u003cli\u003eMake predictions for casino slot machine using reinforcement learning\u003c\/li\u003e\n\u003cli\u003eImplement NLP techniques for sentiment analysis and customer segmentation\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eIf you’re a data analyst, data scientist, or machine learning developer who wants to master machine learning concepts using R by building real-world projects, this is the book for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this book.\u003c\/p\u003e\n\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41078804283489,"sku":"9781789807943","price":39.35,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/07f90231fb0bf11b0974eed396fc60dd.png?v=1700187191","url":"https:\/\/www.rarewaves.com\/products\/9781789807943-r-machine-learning-projects","provider":"Rarewaves.com","version":"1.0","type":"link"}