Learning SEO through Books

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A Path through the Batiquitos Lagoon

There are a few books and courses on the internet that are free and really helpful when it comes to learning a few of the things which will make you a better SEO. Knowledge can make a difference, and with an idea of how search engines work can possibly give you a competitive advantage over others who have not had a opportunity to learn about such resources. I’ve come across a few books which are online and free, and worth spending time with, and thought it might not be a bad idea to share them.

The first two volumes I found are ones which focus on one of the important ways that search engines understand the content of web pages, rating them based upon information retrieval scores. With an idea of how a search engine might rank a page, based on more than simply something of an understanding of how PageRank works can be really beneficial.

Introduction to Information Retrieval by Christopher D. Manning, Prabhakar Raghavan and Hinrich Sch├╝tze

Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto

In the last couple of years, we have seen significant changes to how search results look at search engines. It doesn’t include knowledge panels or featured snippets or ordered snippets or sitelinks, but this book does leave a lot to think about when it comes to how search results are organized:

Search User Interfaces by Marti Hearst

With a sense of how HTML and CSS and java script works can be helpful to anyone involved in SEO. This book covers the latest version of HTML that hasn’t been adopted everywhere on the Net yet, but is still worth digging into:

Dive into HTML5 by Mark Pilgrim

Online Courses and Presentations

Google has been going through a number of transformations in the past five years or so, and Andrew Hogue was involved in lots of the changes that happened. His presentation on these is insightful:

The Structured Search Engine by Andrew Hogue:

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Last September, Jeff Dean introduced us to a Google that was going to be integrating Machine Learning into what they do — hearing some of the details behind this motion is like peeking behind the curtain:

Jeff Dean Talks Google Brain and Brain Residency:

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These tutorials have been pointed out to me on Twitter a couple of days ago. I started watching them, and decided quickly that they were worth sharing:

Dan Jurafsky & Chris Manning: Natural Language Processing and Lecture Slides (h/t to Victor Gras)

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