One that's narrowing the gap between machines and humans...
Machine learning a really large and quickly evolving field. It will be overwhelming just to get started. You’ve most likely been jumping in at the point where you want to use machine learning to build models
With the benefit of hindsight, the key is to start way further upstream. You need to understand what’s happening “under the hood” of all the various machine learning algorithms before you can be ready to really apply them to ‘real’ data. So let’s dive into that.
Here is a road-map for you...
Here are some resources for you ...
Basics of machine learning for beginners
- Google’s machine learning crash course
- ML and Big Data analytics course
- Machine learning course from Stanford
- Machine learning with Python
Best advanced courses in machine learning
- Advanced Machine Learning
- Introduction to Computational Thinking and Data Science from MIT
- HarwardX’s Data Science
Focusing on a particular field
- Data Science
- Deep learning
- Computer vision
- Natural language processing
- Recommendation systems
- Investment management with Data Science
- Machine learning for healthcare
Bonus: ML training platforms