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 Conceptsnbsp;from Statistics, Machinedeepnbsp;learningnbsp;and Responsible Data Science, Useful Techniques Fornbsp;networknbsp;analysis Andnbsp;natural Language Processing, And Practical Applicationsnbsp;of Data Science Such As Recommender Systems Or Sentiment Analysis. Topics And Features: Provides Numerous Practical Case Studies Using Real-world Data Throughout The Booknbsp;supports Understanding Through Hands-on Experience Of Solving Data Science Problems Using Pythonnbsp;describesnbsp;concepts, Techniques And Tools For Statistical Analysis, Machine Learning, Graph Analysis, Natural Language Processing, Deep Learning Andnbsp;responsible Data Sciencereviews A Range Of Applications Of Data Science, Including Recommender Systems And Sentiment Analysis Of Text Datanbsp;provides Supplementary Code Resources And Data At An Associated Websitenbsp;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.