Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Summary
In this chapter, the basic concepts of the Monte Carlo method have been explored. The Monte Carlo method consists of looking for the solution of a problem, representing it as a parameter of a hypothetical population, and of estimating this parameter by examining a sample of the population obtained through sequences of random numbers. To understand the basic concepts, a numerical integration using the Monte Carlo method was performed. Then, Monte Carlo techniques for prediction and control were explored.
Subsequently, a practical case was addressed: Amazon stock price prediction using Python. To analyze the performance of Amazon stock prices, we used data relating to the stock prices in the time interval from 2000-06-05 to 2018-06-05 ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access