What is Machine Learning and how can we apply it to digital marketing? Britney Muller's SearchLeeds talk explained the machine learning basics, what ML can be used for, providing examples of ML solving SEO tasks and executable programs you can start using immediately.

1. Machine Learning for SEOs
@BritneyMuller
Senior SEO Scientist

3. @BritneyMuller

4. @BritneyMuller

5. Machine Learning is becoming more accessible &
will free us up to work on higher level strategy.

6. Machine Learning for SEOs
#1 Machine Learning Examples
#2 What is Machine Learning?
#3 Tools & Resources

8. @BritneyMuller

9. @BritneyMuller

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14. bit.ly/rand-b
@BritneyMuller

15. How Can Machine Learning Help YOU!?!

16. Content Research
Shout out to Kameron
Jenkins for talking
about this tool!

17. Automate Videos

19. Automate Transcriptions

22. #TTTLIVE19
bit.ly/tf-for-poets

23. #TTTLIVE19

24. #TTTLIVE19

25. Automate Meta Descriptions
@BritneyMuller

27. @BritneyMuller

28. @BritneyMuller

31. @BritneyMuller

32. Machine Learning will free us up to
work on higher level strategy.

33. Machine Learning for SEOs
#1 Machine Learning Examples
#2 What is Machine Learning?
#3 Tools & Resources

34. 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.

36. But, how does it ‘learn’!?

40. If Machine Learning was a car
data would be the fuel.

42. 10 Year Challenge?

43. Gboard - the Google
Keyboard

44. Training data will get better &
Machine Learning will free us up
to do more strategic work.

45. Machine Learning for SEOs
#1 Machine Learning Examples
#2 What is Machine Learning?
#3 Tools & Resources

47. #TTTLIVE19

51. @BritneyMuller

52. Use Google's own NLP to know how G is understanding
your content (vs your competitors)!!!

55. #TTTLIVE19

59. CPU > GPU > TPU

60. Our Data Science Team at Moz is innovating
in this space and have developed ground-
breaking features coming soon!

61. 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

62. • 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

63. ML for SEO Takeaways:
➢ 1. Machine Learning combines statistics & programming
➢ 2. An ML model is only as good as its training data
➢ 3. YOU can create a ML model today
➢ 4. ML will help us level up as an industry!
➢ 5. Diversity is paramount in ML

64. Thank You!