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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.
Think about SEO challenges in a data driven way
Apply the range of data science techniques to solve SEO issues
Understand site migration and relaunches are
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.
Think about SEO challenges in a data driven way
Apply the range of data science techniques to solve SEO issues
Understand site migration and relaunches are
Andreas Voniatis is the founder of Artios [...] and a SEO consultant with over 20 year's experience working with ad agencies (PHD, Havas, Universal Mcann, Mindshare and iProspect), and brands (Amazon EU, Lyst, Trivago, GameSys). Andreas founded Artios in 2015 - to apply an advanced mathematical approach and cloud AI/Machine Learning to SEO. With a background in SEO, expertise in data science and cloud engineering, Andreas has helped companies gain an edge through data science and automation. His work has been featured in publications worldwide including The Independent, PR Week, Search Engine Watch, Search Engine Journal and Search Engine Land.
Andreas is a qualified accountant, holds a degree in Economics from Leeds University and has specialized in SEO science for over a decade. Andreas helps grow startups and trains enterprise SEO teams with data driven SEO.
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
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Importe, Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxvi
580 S. 308 s/w Illustr. 102 farbige Illustr. 580 p. 410 illus. 102 illus. in color. |
| ISBN-13: | 9781484291740 |
| ISBN-10: | 1484291743 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Voniatis, Andreas |
| Auflage: | 1st edition |
| Hersteller: | APRESS |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 254 x 178 x 33 mm |
| Von/Mit: | Andreas Voniatis |
| Erscheinungsdatum: | 25.03.2023 |
| Gewicht: | 1,127 kg |
Andreas Voniatis is the founder of Artios [...] and a SEO consultant with over 20 year's experience working with ad agencies (PHD, Havas, Universal Mcann, Mindshare and iProspect), and brands (Amazon EU, Lyst, Trivago, GameSys). Andreas founded Artios in 2015 - to apply an advanced mathematical approach and cloud AI/Machine Learning to SEO. With a background in SEO, expertise in data science and cloud engineering, Andreas has helped companies gain an edge through data science and automation. His work has been featured in publications worldwide including The Independent, PR Week, Search Engine Watch, Search Engine Journal and Search Engine Land.
Andreas is a qualified accountant, holds a degree in Economics from Leeds University and has specialized in SEO science for over a decade. Andreas helps grow startups and trains enterprise SEO teams with data driven SEO.
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
| Erscheinungsjahr: | 2023 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Importe, Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxvi
580 S. 308 s/w Illustr. 102 farbige Illustr. 580 p. 410 illus. 102 illus. in color. |
| ISBN-13: | 9781484291740 |
| ISBN-10: | 1484291743 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Voniatis, Andreas |
| Auflage: | 1st edition |
| Hersteller: | APRESS |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 254 x 178 x 33 mm |
| Von/Mit: | Andreas Voniatis |
| Erscheinungsdatum: | 25.03.2023 |
| Gewicht: | 1,127 kg |
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