In the last < build a machine learning skills system >, I mentioned that the original intention of this project is to buckle machine learning theory will process into a principle -> Intuition -> application process, intuition is derived from the correct understanding of the principles, and then summarize in your own words come, applications vary in order to facilitate learning, I looked around to collect some items into your own study materials, current, these projects are derived from the network class, these examples guarantee can run on your PC up. mastered these, come back to see about the principle of the equation, there is a more intuitive understanding of the formula, instead of when it comes to the algorithm, we can only turn courseware BB formula, the principle of \ a little arithmetic processes, etc. cognition are not, not to mention the error correction and applied.
Himself summed up the return of \ Category \ cluster \ association rules \ reinforcement learning \ dimensionality reduction a few examples of model optimization \ Thank net class teachers wonderful explanation.