63 min listen
From Software Engineering to Machine Learning - Santiago Valdarrama
FromDataTalks.Club
ratings:
Length:
60 minutes
Released:
Jun 25, 2021
Format:
Podcast episode
Description
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
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
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
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Released:
Jun 25, 2021
Format:
Podcast episode
Titles in the series (100)
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