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Zusatztext For advanced students and professionals in data science and data analytics! this work?provides an excellent introduction to the main concepts of data analytics using tools developed in Python. The popularity and open source nature of Python makes it an excellent choice for developing analytic models using add-on tools such as SciKit-learn! Numpy! and others. The book does not assume a working knowledge of Python and provides a through introductory chapter. The other chapters can be read independently of one another! making the text a valuable resource for readers interested in a specific area of data analytics. The book's design is user-friendly as well; wide margins allow for taking notes while reading. This space also contains summary notes of the material! making it easy to scan for specific concepts. The material covered includes machine learning and pattern recognition! various regression techniques! classification algorithms! decision tree and hierarchical clustering! and dimensionality reduction. Though this text is not recommended for those just getting started with computer programming! it would make an excellent tool for readers who wish to add Python to their programming language repertoire while developing models or analyzing data.-D. B. Mason! Albright College! CHOICE! June 2018 Informationen zum Autor Dr. Jesús Rogel-Salazar is a Lead Data Scientist at IBM Data Science Studio and visiting researcher at the Department of Physics at Imperial College London, UK. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book "Essential Matlab and Octave", also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. Dr. Jesús Rogel-Salazar is a Lead Data Scientist at IBM Data Science Studio and visiting researcher at the Department of Physics at Imperial College London, UK. He is also a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant and data scientist in the financial industry since 2006. He is the author of the book "Essential Matlab and Octave", also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism and finance. Klappentext The book is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data analytics using tools developed in Python, such as SciKit Learn, Pandas, Numpy, etc. Zusammenfassung The book is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data analytics using tools developed in Python, such as SciKit Learn, Pandas, Numpy, etc. Inhaltsverzeichnis The Trials and Tribulations of a Data Scientist. Python: For Something Completely Different. The Machine that Goes "Ping": Machine Learning and Pattern Recognition. The Relationship Conundrum: Regression. Jackalopes and Hares: Clustering. Decisions, Decisions: Hierarchical Clustering, Decision Trees and Ensable Techniques. Less is More: Dimensionality Reduction. Kernel Tricks under the Sleeve: ...
