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Ryan Orban

Ryan Orban

Subject
5 entries

Roadmap

Bookmarks

  1. How to Evaluate a Product Roadmap, for Engineers

    A guide for engineers on how to evaluate whether a product leader knows what they're doing — what signals in a roadmap indicate good product thinking vs. cargo-culted process. Useful for engineers interviewing or assessing a new team's product culture.

  2. Machine Learning Roadmap

    Daniel Bourke's visual roadmap connecting the core concepts of machine learning, what to learn first, and what tools to use — built as a community-oriented guide for self-learners entering the field in 2020.

  3. Your Ultimate Learning Path to Become a Data Scientist in 2020

    Analytics Vidhya's structured learning path to become a data scientist in 2020 — a step-by-step curriculum covering statistics, Python, ML algorithms, and tools, with specific resource recommendations at each stage.

  4. Self-Study Guide to Machine Learning

    Machine Learning Mastery's self-study guide to machine learning — Jason Brownlee's staged curriculum for practitioners who want to learn ML without a formal background. Prescriptive and pragmatic: pick an algorithm, implement it, run it on data, iterate.

  5. Metacademy — Bayesian Machine Learning Roadmap

    Roger Grosse's curated Metacademy roadmap for learning Bayesian machine learning from scratch — a sequenced path through Bayesian inference, probabilistic graphical models, approximate inference, and nonparametric methods. The systematic route through a complex prerequisite landscape.

All bookmarks