{"product_id":"automated-machine-learning-in-action-9781617298059","title":"Automated Machine Learning in Action","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eAutomated Machine Learning in Action provides hands-on examples and accessible explanations to help beginners and non-data scientists understand and apply AutoML. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 300 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 May 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Manning Publications\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eAutomated machine learning (AutoML) is a powerful tool that automates complex and time-consuming stages in a machine learning pipeline. It provides pre-packaged optimal solutions for data scientists, allowing them to focus on data analysis and model development. AutoML simplifies the process of selecting the best machine learning models and data preparation methods, enabling pipelines to tune themselves without constant input. This technology is particularly useful for non-data scientists who want to leverage machine learning for image classification, supervised learning, and other tasks.\u003cbr\u003e\u003cbr\u003eThe book \"Automated Machine Learning in Action\" is a comprehensive guide that teaches readers how to automate machine learning tasks using AutoML. It is written in an accessible style, with hands-on examples and step-by-step instructions. The book begins by covering machine learning basics, such as supervised and unsupervised learning, and then introduces AutoML.\u003cbr\u003e\u003cbr\u003eChapter 1: Introduction to AutoML\u003cbr\u003eChapter 2: Selecting the Best Machine Learning Models\u003cbr\u003eChapter 3: Data Preparation Methods\u003cbr\u003eChapter 4: Putting AutoML into Practice\u003cbr\u003eChapter 5: Image Classification\u003cbr\u003eChapter 6: Supervised Learning\u003cbr\u003eChapter 7: Other Applications\u003cbr\u003e\u003cbr\u003eIn conclusion, automated machine learning (AutoML) is a game-changer for data scientists and domain experts. It automates complex and time-consuming stages in a machine learning pipeline, freeing up data scientists from manual tuning and enabling them to focus on data analysis and model development. The book \"Automated Machine Learning in Action\" is a comprehensive guide that teaches readers how to leverage AutoML for image classification, supervised learning, and other tasks. With hands-on examples and step-by-step instructions, it is an essential resource for anyone looking to optimize their machine learning pipelines.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 616g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 188 x 235 x 24 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781617298059\u003c\/p\u003e","brand":"Qingquan Song,Haifeng Jin,Xia Hu","offers":[{"title":"Paperback \/ softback","offer_id":44100787994874,"sku":"9781617298059","price":35.67,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1654866889168_book.jpg?v=1655209127","url":"https:\/\/shulphink.com\/products\/automated-machine-learning-in-action-9781617298059","provider":"Shulph Ink","version":"1.0","type":"link"}