Mastering business parameters all areas included, is really a big challenge, especially for studying the evolution of KPIs and metrics through time. The Time series methods have been used to clarify, monitor and predict some causality behaviors, it allows to find answers to questions like "how did the past influence the future?". Time Series is a sequence of time-ordered observations (data points collected at constant time intervals) of a given phenomenon that is changing over time. Time series analysis is used to identify the time-based patterns existing in the Data so as to determine a good model that can be used to forecast the future behavior of business metrics (stock market price, budget, sales, Turnover, …). Non-stationary Data must be transformed into stationary data, in order to have consistent and reliable.

Nigel Ford's book purports to be both an introduction to AI and an examination of whether machines are cognizant entities.With this pairing, Ford intends to begin at the beginning, answering the question "what is AI?" and to proceed to his main thesis about whether machines can think. Unfortunately, Ford is unable to move on to the higher plane of his main thesis.

Nigel Ford's book purports to be both an introduction to AI and an examination of whether machines are cognizant entities.With this pairing, Ford intends to begin at the beginning, answering the question "what is AI?" and to proceed to his main thesis about whether machines can think. Unfortunately, Ford is unable to move on to the higher plane of his main thesis.