Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications - Paperback
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Hands-on Python case studies: Enables readers to solve real-world data science problems for deeper understanding
Comprehensive coverage of data science concepts: Explores statistics, machine learning, deep learning, and responsible data science
Practical applications: Reviews recommender systems and sentiment analysis to illustrate real-world impact
Supplementary code resources and data: Supports self-paced learning and further exploration
Classroom-tested content: Ensures pedagogical effectiveness for educators and students
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Report copyright infringement by Laura Igual (Author), Santi Seguí (Author), Jordi Vitrià (Contribution by)
This 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 responsibl