Data Science and Analytics with Python - Rogel-Salazar, Jesus
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Présentation Data Science And Analytics With Python Format Relié
- Livre Informatique
Résumé : 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: Support Vector Machines. Pipelines in Scikit-learn.
Sommaire: Dr. Jes?s 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. Jes?s 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.
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