From Software Engineering to Machine Learning - Santiago Valdarrama

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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