Introduction to Machine Learning Course by Lazarina Stoy.

Description

NOTE: ACCEPTING PREORDERS – COURSE MATERIALS WILL GO LIVE ON 31st OF OCTOBER

Introduction to Machine Learning for SEOs

Our beginner-friendly course is perfectly tailored for SEOs and digital marketers looking to delve into practical machine learning applications. This course combines essential theoretical knowledge with hands-on tools to enhance your skill set.

Throughout this course, you will explore different machine learning models, gaining insights that are directly applicable to your SEO strategies. Each session is designed to be interactive, ensuring that you not only learn but also apply the concepts effectively.

By the end of the course, you’ll have a comprehensive understanding of machine learning techniques to improve your SEO performance. Join us to enhance your marketing strategy, making data-driven decisions that propel your business forward.

Modules & Lessons

1. The ‘Why’ behind using machine learning in SEO work 
   1. Course Introduction
   2. Advantages and Scenarios
   3. Skills you’ll gain (hard and soft)
   4. The Psychological mindset I want you to develop to succeed: Overcoming limiting beliefs
2. Machine Learning Basics
   1. Task Characteristics
   2. Data Characteristics
   3. Solution Characteristics
   4. How to find ML-enabled automation for any project you are working on
3. Introduction to Clustering
   1. What is clustering?
   2. In which SEO and digital marketing projects can clustering be implemented in, and why?
   3. Practical: Clustering of page content with LDA
   4. Practical: Clustering of page content with BERTopic
   5. Practical: Keyword Clustering with KeyBERT
4. Introduction to Classification
   1. What is classification?
   2. In which SEO and digital marketing projects can classification be implemented in, and why?
   3. Practical: Text Classification of page content with Google Natural Language API
5. Introduction to Entity Extraction and Analysis
   1. What is entity extraction?
   2. In which SEO and digital marketing projects can entity extraction be implemented in, and why?
   3. Analysing different entity extraction APIs versus OpenAI’s GPT
   4. Practical: Entity Extraction of page content with Google Natural Language API
   5. Practical: Entity Analysis work in Keyword Research and Internal Linking
6. Introduction to Fuzzy Matching
   1. What is fuzzy matching?
   2. In which SEO and digital marketing projects can fuzzy matching be implemented in, and why?
   3. Practical: Redirect mapping with fuzzy matching
   4. Practical: Content gap analysis with fuzzy matching (mapping competitors’ versus own URLs)
7. Introduction to Content Transformation
   1. What is content transformation (different types)?
   2. In which SEO and digital marketing projects can content transformation be implemented in, and why?
   3. Practical: Transform blog posts to social posts with OpenAI’s GPT
   4. Practical: Summarise content to write titles and meta descriptions with BERT
8. Key Takeaways and What’s Next
   1. Course Outro
   2. Where to go from here

About the course instructor

Lazarina Stoy is a recognized expert in the intersection of SEO, data science, and machine learning, making her an ideal course author for “Introduction to ML for SEOs.”. With a background in digital marketing and technology, Lazarina has worked with top-tier enterprise-level companies like AWS, Skyscanner, and Extreme Networks, leveraging machine learning to enhance SEO strategies, implement process automation, and drive organic growth. She is known for her ability to simplify complex technical concepts, making them accessible and exciting for both beginners and professionals.

Her expertise spans a range of areas, including technical SEO, content strategy, data visualisation, and ML-enabled automation. Lazarina has led numerous projects implementing machine learning for SEO tasks, before turning her passion for technology into the training platform MLforSEO, where she helps organic search marketers get onboarded into the world of AI. Additionally, she has developed training resources, contributed to major industry publications like Search Engine Land and Moz, and spoken at leading digital marketing conferences worldwide.

In this course, Lazarina will blend her passion for automation and process improvement with practical knowledge, helping SEOs leverage machine learning to enhance their work in a highly efficient, data-driven way​.