Today, by chance got a very good machine learning platform for End-to-End Machine Learning Library , the platform is Brandon Rohrer created, which by way of video introduces the principles and applications of machine learning. His philosophy is:
The best way to learn new concepts is to use them to build something. These courses are structured to build foundational knowledge (100 series), provide in-depth applied machine learning case studies (200 series), and embark on project-driven deep-dives (300 series). Come have a look around and try one out today.
Translated into Chinese, that is:
The best way to learn new concept is to build something with them. The structure of these courses is to establish the basics (100 series), provides in-depth case studies of the application of machine learning (200 series), and conduct diving project-driven (300 series). Today's look, try it.
For machine learning path, he gives information about the neural network, application of machine learning, data visualization, data science and other aspects of the recommended course sequence, is worth learning from.
Neural networks
193. How neural networks work
194. Build a neural network framework
195. Advanced neural network methods
196. Neural network optimization
Applied machine learning
197. How to choose a model
198. How optimization works
199. How selected models and methods work
200. Decision trees with Python an Pandas
201. Time-series analysis
202. Nonlinear modeling and optimization
Visualization
203. Navigating Matplotlib
204. Neural network visualization
Introduction to data science
206. Foundational skills
207. Data science concepts
208. Navigating a data science career
