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Britney Muller - Machine learning for marketers (Turing Fest 2019)

Britney Muller - Machine learning for marketers (Turing Fest 2019)

Machine Learning is becoming more and more accessible to non-technical individuals & will free you up to work on more strategic efforts.

The biggest bottleneck in Machine Learning/AI is people like YOU with domain expertise and great ideas! Help your industry innovate by attending this Machine Learning crash course. You'll walk away with a foundational understanding of ML, the tools necessary to implement ML models and the confidence to consider ways in which it can be applied to help you with everyday work.

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August 29, 2019
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  1. Machine Learning for Marketers @BritneyMuller Senior SEO Scientist

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  3. @BritneyMuller

  4. @BritneyMuller

  5. Machine Learning is becoming more accessible & will free you

    up to work on higher level strategy
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  11. @BritneyMuller

  12. @BritneyMuller

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  16. @BritneyMuller

  17. 
 bit.ly/rand-b
 @BritneyMuller

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

  19. #TTTLIVE19

  20. #TTTLIVE19

  21. Machine Learning will free us up to work on higher

    level strategy.
  22. #1 Machine Learning Examples #2 What ML Can/Can’t Solve #3

    Tools & Resources Machine Learning for Marketers
  23. 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.
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  25. But, how does it ‘learn’!?

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  28. If Machine Learning was a car data would be the

    fuel.
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  30. 10 Year Challenge?

  31. ML doesn’t solve well for soft/people skills.

  32. Driving Surgery Construction Teachers Nurses Childcare ML ✅ ML ❌

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  35. You don’t have to be a Data Scientist to think

    of the next brilliant ML application!
  36. Machine Learning is becoming more accessible & will free you

    up to do more strategic work.
  37. #1 Machine Learning Examples #2 What ML Can/Can’t Solve #3

    Tools & Resources Machine Learning for Marketers
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  41. Automate Videos

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  43. Automate Transcriptions

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  45. Automate Meta Descriptions @BritneyMuller

  46. @BritneyMuller

  47. @BritneyMuller

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  49. #TTTLIVE19

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  55. @BritneyMuller

  56. Use Google's own NLP to know how G is understanding

    your content (vs your competitors)!!!
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  58. #TTTLIVE19

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  60. Our Data Science Team at Moz is innovating in this

    space & creating ground-breaking solutions 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 Takeaways: ➢ 1. Machine Learning is statistics + programming

    ➢ 2. ML models are only as good as their training data ➢ 3. YOU can create a ML model today!!! ➢ “You aren’t trying hard enough unless you’re breaking stuff!” – B.Muller ➢ 4. ML will help Marketers/Everyone level up ➢ 5. Diversity is paramount in ML
  64. What Will You Solve For?

  65. Thank You!

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