Lazarina Stoy – Introduction to Machine Learning Course

Beginner-friendly course, perfect for SEOs and digital marketers, who are interested in practical machine learning. It is designed to walk you through not only the theory of different machine learning models but also equip you with the tools to implement everything you learn and the knowledge of applying the insights for improving your SEO.

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.

What You’ll Learn In Introduction to Machine Learning Course

The ‘Why’ behind using machine learning in SEO work

• Course Introduction
• Advantages and Scenarios
• Skills you’ll gain (hard and soft)
• The Psychological mindset I want you to develop to succeed: Overcoming limiting beliefs

Machine Learning Basics

• The difference between AI and ML
• Task Characteristics
• Data Characteristics
• Solution Characteristics
• How to find ML-enabled automation for any project you are working on

Introduction to Classification

• What is classification?
• In which SEO and digital marketing projects can classification be implemented in, and why?
• Practical: Text Classification of page content with Google Natural Language API

Introduction to Clustering

• What is clustering?
• In which SEO and digital marketing projects can clustering be implemented in, and why?
• Practical: Clustering of page content with LDA
• Practical: Clustering of page content with BERTopic
• Practical: Keyword Clustering with KeyBERT

Introduction to Entity Extraction and Analysis

• What is entity extraction?
• In which SEO and digital marketing projects can entity extraction be implemented in, and why?
• Analysing different entity extraction APIs versus generative AI
• Practical: Query Entity Extraction with Google NLP and Entity ML-enabled data analysis

Introduction to Fuzzy Matching

• What is fuzzy matching?
• In which SEO and digital marketing projects can fuzzy matching be implemented in, and why?
• Practical: 404 and Redirect mapping with fuzzy matching
• Practical: Competitor or Internal Metadata Opportunity Analysis using fuzzy matching
• Introduction to Content Transformation (March release)
• What is content transformation (different types)?
• In which SEO and digital marketing projects can content transformation be implemented in, and why?
• Practical: Transform blog posts to social posts with OpenAI’s GPT
• Practical: Summarise content to write titles and meta descriptions with BERT

Key Takeaways and What’s Next (March release)

• Course Outro
• Where to go from here

Sale Page: Lazarina Stoy – Introduction to Machine Learning Course

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