This Book Offers Practical Guidelines On Creating Value From The Application Of Data Science Based On Selected Artificial Intelligence Part I, The Author Introduces A Problem-driven Approach To Implementing Ai-based Data Science And Offers Practical Explanations Of Key Technologies: Machine Learning, Deep Learning, Decision Trees And Random Forests, Evolutionary Computation, Swarm Intelligence, And Intelligent Agents. In Part Ii, He Describes The Main Steps In Creating Ai-based Data Science Solutions For Business Problems, Including Problem Knowledge Acquisition, Data Preparation, Data Analysis, Model Development, And Model Deployment Lifecycle. Finally, In Part Iii The Author Illustrates The Power Of Ai-based Data Science With Successful Applications In Manufacturing And Business.