Data-Driven Computational Neuroscience

Machine Learning and Statistical Models

; Pedro Larranaga

Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data. Les mer
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945,-

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Leveringstid: Sendes innen 7 virkedager
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Innbundet
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Innbundet
Legg i
Vår pris: 945,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 7 virkedager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.

Fakta

Innholdsfortegnelse

Part I. Introduction; Section 1. Computational Neuroscience; Part II. Statistics; Section 2. Exploratory Data Analysis; Section 3. Probability Theory and Random Variables; Section 4. Probabilistic Interference; Part III. Supervised pattern recognition; Section 5. Performance Evaluation; Section 6. Feature subset selection; Section 7. Non-probabilistic classifiers; Section 8. Probabilistic classifiers; Section 9. Metaclassifiers; Section 10. Multi-dimensional classifiers; Part IV. Unsupervised pattern recognition; Section 11. Non-probabilistic clustering; Section 12. Probabilistic clustering; Part V. Probabilistic graphical models; Section 13. Bayesian networks; Section 14. Markov networks; Part VI. Spatial statistics; Section 15. Spatial statistics.

Om forfatteren

Concha Bielza is a professor in the Department of Artificial Intelligence at Universidad Politecnica de Madrid. She has published more than 120 journal papers and coauthored the book Industrial Applications of Machine Learning (2019). She was awarded the 2014 UPM Research Prize. Pedro Larranaga is a professor in the Department of Artificial Intelligence at Universidad Politecnica de Madrid. He has published more than 150 journal papers and coauthored the book Industrial Applications of Machine Learning (2019). He is fellow of the European Association for Artificial Intelligence and of Academia Europaea.