Introduction To Data Science A Python Approach To Concepts Techniques And App - Laura Igual

This Accessible And Classroom-tested Textbookreference Presents An Introduction To The Fundamentals Of The Interdisciplinary Field Of Data Science. The Coverage Spans Key Concepts From Statistics, Machinedeep Learning And Responsible Data Science, Useful Techniques For Network Analysis And Natural Language Processing, And Practical Applications Of Data Science Such As Recommender Systems Or Sentiment Analysis. Topics And Features: Provides Numerous Practical Case Studies Using Real-world Data Throughout The Book Supports Understanding Through Hands-on Experience Of Solving Data Science Problems Using Python Describes Concepts, Techniques And Tools For Statistical Analysis, Machine Learning, Graph Analysis, Natural Language Processing, Deep Learning And Responsible Data Sciencereviews A Range Of Applications Of Data Science, Including Recommender Systems And Sentiment Analysis Of Text Data Provides Supplementary Code Resources And Data At An Associated Website This Practically-focused Textbook Provides An Ideal Introduction To The Field For Upper-tier Undergraduate And Beginning Graduate Students From Computer Science, Mathematics, Statistics, And Other Technical Disciplines.