| 书目名称 | Data-Driven SEO with Python | | 副标题 | Solve SEO Challenges | | 编辑 | Andreas Voniatis | | 视频video | | | 概述 | Covers the data science techniques behind data driven SEO.Covers Machine learning and NLP techniques to solve SEO issues.Shows how to scale and automate SEO across SEO workstreams | | 图书封面 |  | | 描述 | .Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload. .This book is a practical, modern introduction to data science in the SEO context using Python. With social media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, .Data-Driven SEO. .with Python. provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems..This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both. .What You‘ll Learn.See how data science works in the SEO context.Think about SEO challenges i | | 出版日期 | Book 2023 | | 关键词 | SEO; Python; Data Science; Machine Learning; API; Data Strategy; Google | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-9175-7 | | isbn_softcover | 978-1-4842-9174-0 | | isbn_ebook | 978-1-4842-9175-7 | | copyright | Andreas Voniatis 2023 |
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发表于 2025-3-21 16:33:08
