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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Optimization

• Full title: Data Driven SEO with Python
• Subtitle: Solve SEO Challenges with Data Science Using Python
• Author: Andreas Voniatis
• Language: English
• Binding: Paperback
• Number of pages: 580
• EAN: 9781484291740
• ID: 42192292
• Publisher: Springer, Berlin
• Weight: 1037 g
• Dimensions: 254 × 178 mm
• Published: 2023

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