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Machine Learning for Marketers
@BritneyMuller
Senior SEO Scientist
Our journey from data to insights has traditionally
looked like this:
To do better, we must think differently
Machine learning & data science tools can be
your laser beam!
All ML solutions have one thing in common…data
Adequate training data fuels ML models
Finance
Driving
Surgery
Teachers
Nurses
Childcare
ML doesn’t solve well for
soft/people skills
You don’t have to be a Data Scientist to think of
the next brilliant ML application!
bit.ly/rand-b
@BritneyMuller
codelabs.developers.google.com
What is Machine Learning?
Intelligence IQ + ML
Tools & Resources
What We’ll Cover:
What is Machine Learning?
Machine Learning is a subset of AI that combines
statistics & programming
to give computers the ability to “learn” without
explicitly being programmed.
10 Year Challenge?
Training data will get better &
Machine Learning will free us up
to do more strategic work.
What is Machine Learning?
Intelligence IQ + ML
Tools & Resources
What We’ll Cover:
@BritneyMuller
Uncover the ONE keyword/topic with the
highest ROI potential
(rolling analysis)
pair-code.github.io/facets
pair-code.github.io/facets
Navigate via rolling business & market data
Source: news.efinancialcareers.com/ca-en/285249/machine-learning-and-big-data-j-p-morgan
“Machines have the ability to quickly analyze news feeds
and tweets, process earnings statements, scrape websites,
and trade on these instantaneously.”
Add deep insights to your current processes
Rich customer understanding.
+ +
Amazon’s Review API
Use NLP to parse out pain points and areas of opportunity
@BritneyMuller
Automate meaningful content
@BritneyMuller
@BritneyMuller
Automate Meta Descriptions
searchwilderness.com/mozcon-2019
Automate visual content and image understanding
Video Generation
Automate Image Understanding
@BritneyMuller
Machine Learning is becoming more accessible &
will free us up to work on higher level strategy.
@BritneyMuller
What is Machine Learning?
Intelligence IQ + ML
Tools & Resources
What We’ll Cover:
@BritneyMuller
Use Google's own NLP to know how G is understanding your
content (vs your competitors)!!!
Automate Transcriptions
Automatic 301 Redirects
searchwilderness.com/mozcon-2019
CPU > GPU > TPU
We have only scratched the surface
title tag optimization
deduping questions (Quora, Stack Overflow)
log file analysis
parsing text into entities (ex. insurance forms)
traffic predictions
deeper user engagement insights
website audit insights
automatic website fixes
Getting Started
• Search ‘Harvard CS109’ in GitHub
• Google CodeLabs – Break things!!!
• MNist --The “Hello World!” of Machine Learning
• Colab Notebooks OR Jupyter Notebooks
• Learn With Google AI
• Image-net.org
• Kaggle
• MonkeyLearn
• Yearning Learning (free book preview by Andre Ng)
• Neural Networks & Deep Learning
• Correlation vs Causation (by Dr. Pete!)
• Exploring Word2Vec
• The Zipf Mystery
• BigML
• Targeting Broad Queries in Search
• Project Mosaic Books
• Algorithmia
• How to eliminate bias in data driven marketing
• TensorFlow Dev Summit 2018 [videos]
• NLP Sentiment Analysis
• Talk 2 Books
• The Shallowness of Google Translate
• TF-IDF
• LSI
• LDA
• Learn Python
• Massive Open Online Courses
• Coursera Machine Learning
• RAY by Professors at UC Berkeley
Advanced Resources
ML for Marketers Takeaways:
1. ML can shorten the path between data -- insights
2. An ML model is only as good as its training data
3. Consider the data you have & what you could do with it
4. YOU can create an ML model today
5. ML will help us level up as an industry
The Data Science Team at Moz is innovating in this space to make
your journey from data to insights more efficient
think differently
What will you solve for?
Thank You!
Uncovering highest ROI keywords, links
& social platforms
Navigation via predictive business &
market insights
Understanding customer’s
needs & pain points
Crafting desired / helpful copy
Decreasing friction to optimize customer
satisfaction & conversions
Amplification
Promoting content & engaging with
customers on highest ROI platforms.

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