| 書(shū)目名稱 | Monetizing Machine Learning | | 副標(biāo)題 | Quickly Turn Python | | 編輯 | Manuel Amunategui,Mehdi Roopaei | | 視頻video | http://file.papertrans.cn/639/638843/638843.mp4 | | 概述 | Ties together three different knowledge sets—machine learning/statistics, prototyping via web applications, and working with cloud providers.Provides a simple, cloud-brand and technology-agnostic guid | | 圖書(shū)封面 |  | | 描述 | .Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book—Amazon, Microsoft, Google, and PythonAnywhere. ..You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time...Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the b | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Machine learning; Machine Intelligence; TensorFlow; Deep learning; Google Cloud Platform; Cloud computing | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3873-8 | | isbn_softcover | 978-1-4842-3872-1 | | isbn_ebook | 978-1-4842-3873-8 | | copyright | Manuel Amunategui, Mehdi Roopaei 2018 |
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