Study of AI (ML and DL)

  Base on statistical data (stat data about tourist and hotel room occupation) which can be downloaded from related web site of Hong Kong, use  Polynomial Regression  (algorithm of Machine Learning) to predict monthly total meter consumption of fresh water in Hong Kong.   1.       DataSet Below is part of dataset to be used for analysis Columns are label as below: l     A1 to A11         (Raw value) l     X1 to X11          (Normalized Value) l     Y2 (Normalized Value of total water consumption) 2.       Result of correlation Use API of Python to check correlation among columns, below is the result of correlation among different columns (An, Xn, Y2) Figure 1 : Result of correlation (“Ax” w.r.t. Y1, Y2) Figure 2 : Result of correlation (“Xx” w.r.t. Y1, Y2) Based of result indicated above, X3,X8, X11 (or A...

Traditional approach of KM mainly base on a “KM Web Site” which use traditional approach to search and browse information, and with content of “KM café” and “Hubs” from different operation units, this approach has limitation of “information collection”, “maintenance”, and “knowledge sharing”. This proposal is to build an “Agent based intelligent KM (Knowledge Management) Chatbot”, with a simple Q&A web UI which is similar to search engine or traditional chatbot.   Objective To supplement existing KM (Knowledge Management) Portal by an “Agent based intelligent KM Chatbot”, with a simple UI of Q&A, and with below major characteristics: l    Front end agent l    Back-end tools which connect to ChatGPT through OpenAPI (or similar subscription service such as 百度 ) l    Usage of LLM (Large Language Model)   Current business Exiting approach of KM Portal mainl y base on a Web Site which: l    Use traditional approach to organize, brow...