{"product_id":"introduction-to-data-science-a-python-approach-to-concepts-techniques-and-applications-paperback","title":"Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications - Paperback","description":"\u003cp\u003eby \u003cb\u003eLaura Igual\u003c\/b\u003e (Author), \u003cb\u003eSanti Seguí\u003c\/b\u003e (Author), \u003cb\u003eJordi Vitrià\u003c\/b\u003e (Contribution by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis accessible and classroom-tested textbook\/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine\/deep 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides numerous practical case studies using real-world data throughout the book \u003c\/li\u003e\n\u003cli\u003eSupports understanding through hands-on experience of solving data science problems using Python \u003c\/li\u003e\n\u003cli\u003eDescribes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science\u003c\/li\u003e\n\u003cli\u003eReviews a range of applications of data science, including recommender systems and sentiment analysis of text data \u003c\/li\u003e\n\u003cli\u003eProvides supplementary code resources and data at an associated website \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis 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. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis textbook presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine\/deep 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. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides numerous practical case studies using real-world data throughout the book \u003c\/li\u003e\n\u003cli\u003eSupports understanding through hands-on experience of solving data science problems using Python \u003c\/li\u003e\n\u003cli\u003eDescribes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science\u003c\/li\u003e\n\u003cli\u003eReviews a range of applications of data science, including recommender systems and sentiment analysis of text data\u003c\/li\u003e\n\u003cli\u003eProvides supplementary code resources and data at an associated website \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThis 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. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Laura Igual\u003c\/b\u003e is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. \u003cb\u003eDr. Santi Seguí\u003c\/b\u003e is an Associate Professor at the same institution.\u003c\/p\u003e\u003cp\u003eThe authors wish to mention that some chapters were co-written by Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Laura Igual\u003c\/b\u003e is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. \u003cb\u003eDr. Santi Seguí\u003c\/b\u003e is an Associate Professor at the same institution.\u003c\/p\u003e \u003cp\u003eThe authors wish to mention that some chapters were co-written by Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 246\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.55 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 13, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51749558026528,"sku":"9783031489556","price":89.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/7a55af06e4cc62514b1b1356218573e1.webp?v=1779933787","url":"https:\/\/ebocreations.com\/products\/introduction-to-data-science-a-python-approach-to-concepts-techniques-and-applications-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}