About Cassie Kozyrkov

Chief Decision Engineer, Google Cloud. Love Stats, AI, data, puns, art, sci-fi, theatre, decision science. Twitter: @quaesita.

Cassie Kozyrkov Posts (8)

  • Were 21% of New York City residents really infected with the novel coronavirus? - 06 May 2020
    Understanding the types of statistical bias that pop up in popular media and reporting is especially important during this pandemic where the data -- and our global response to the data -- directly impact peoples' lives.
  • What’s the difference between analytics and statistics? - 06 Sep 2019
    From asking the best questions about data to answering those questions with certainty, understanding the value of these two seemingly different professions is clarified when you see how they should work together.
  • The ultimate guide to starting AI - 13 Nov 2018
    A step-by-step overview of how to begin your project, including advice on how to craft a wise performance metric, setting up testing criteria to overcome human bias, and more.
  • Machine learning — Is the emperor wearing clothes? - 12 Oct 2018
    We take a look at the core concepts of Machine Learning, including the data, algorithm and optimization needed to get you started, with links to additional resources to help enhance your knowledge.
  • What on earth is data science? - 04 Sep 2018
    An overview and discussion around data science, covering the history behind the term, data mining, statistical inference, machine learning, data engineering and more.
  • 9 Things You Should Know About TensorFlow - 22 Aug 2018
    A summary of the key points from the Google Cloud Next in San Francisco, "What’s New with TensorFlow?", including neural networks, TensorFlow Lite, data pipelines and more.
  • Unsupervised Learning Demystified - 13 Aug 2018
    Unsupervised learning is a pattern-finding technique for mining inspiration from your data. Let's demystify!
  • Silver BlogTop 10 roles in AI and data science - 09 Aug 2018
    When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? We hope not!