Best of Machine Learning
Comprehensive library, courses, webinars, workshops, and expert support for learning ML fundamentals and receiving guidance.
What is Best of Machine Learning?
Best of Machine Learning is a learning platform designed to help people understand machine learning fundamentals through multiple formats. It provides a library of resources, structured courses, webinars, and workshops alongside access to expert guidance. The platform caters to beginners and intermediate learners who want to build foundational knowledge in machine learning without necessarily diving into specialised advanced topics. The freemium model means you can access some resources at no cost, with paid options available for more thorough learning paths and direct expert support.
Key Features
Learning library
pick collection of machine learning articles, tutorials, and reference materials
Structured courses
Organised curriculum covering ML fundamentals from basics through to applied concepts
Webinars and workshops
Live and recorded sessions with practising professionals and instructors
Expert support
Access to guidance from experienced practitioners for questions and direction
Freemium access
Core content available free with premium options for deeper learning
Pros & Cons
Advantages
- Multiple learning formats suit different preferences, whether you prefer self-paced reading, structured courses, or interactive sessions
- Expert support helps clarify difficult concepts and provides practical guidance beyond typical tutorials
- Free tier lets you try the platform and access basic resources without paying upfront
- Focuses on fundamentals rather than advanced specialisation, making it accessible for newcomers
Limitations
- As a freemium platform, the most valuable features and thorough content likely sit behind a paywall
- Quality and depth of expert support may vary depending on the plan level you choose
Use Cases
Students building foundational ML knowledge before specialising in a particular area
Career changers exploring whether machine learning roles suit their interests
Professionals in adjacent fields looking to understand ML applications relevant to their work
Self-taught learners who benefit from structured guidance and expert feedback
Teams upskilling staff on machine learning basics for projects or departmental needs