DataTalks.Club

From Software Engineering to Machine Learning - Santiago Valdarrama

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We talked about:

  • Santiago’s background
  • “Transitioning to ML” vs “Adding ML as a skill”
  • Getting over the fear of math for software developers
  • Learning by explaining
  • Seven lessons I learned about starting a career in machine learning
  • Lesson 1 – Take the first step
  • Lesson 2 – Learning is a marathon, not a sprint
  • Lesson 3 – If you want to go quickly, go alone. If you want to go far, go together.
  • Lesson 4 – Do something with the knowledge you gain
  • Lesson 5 – ML is not just math. Math is not scary.
  • Lesson 6 – Your ability to analyze a problem is the most important skill. Coding is secondary.
  • Lesson 7 – You don’t need to know every detail
  • Tools and frameworks needed to transition to machine learning
  • Problem-based learning vs Top-down learning
  • Learning resources
  • Santiago’s favorite books
  • Santiago’s course on transitioning to machine learning
  • Improving coding skills
  • Building solutions without machine learning
  • Becoming a better engineer
  • What is the difference between machine learning and data science?
  • Getting into machine learning - Reiteration
  • Getting past the math


    • Links:

    • Santiago's Twitter: https://twitter.com/svpino
    • Santiago's course: https://gumroad.com/svpino#kBjbC
    • Pinned tweet with a roadmap: https://twitter.com/svpino/status/1400798154732212230


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