Member-only story
Summary of the “How To ‘Ultralearn’ Data Science” Series
Summarizing all four parts of the series (for those in a hurry)
Published in
4 min readNov 28, 2019
Welcome back to the Ultralearning Data Science series!Part 1 - Introduction on Ultralearning & MetalearningPart 2 - On removing distractions and finding focusPart 3 - On optimization learningPart 4 - On deep understanding and experimentationSummary - For those in a hurry
Part 1: Metalearning
- Create a metalearning map
- Concepts
- Facts
- Procedures
2. Identify challenging aspects of learning
3. Techniques for overcoming them
4. Establish your learning methodology
Ultralearning data science begins with utilizing metalearning strategies. The first step is to create a map that suits your life. Don’t go ahead and plan out an impossible pathway that requires you to learn for 12 hours a day every week. That’s just unrealistic, and you’ll experience burn out. Be more pragmatic when you plan your journey: Take into account your personal responsibilities, hobbies, friends, and family, etc.
