Data driven science and engineering

Main
Computers - Organization and Data Processing
Data driven science and engineering

Data driven science and engineering

Steven Brunton, J Nathan Kutz

0 / 4.0

كم أعجبك هذا الكتاب؟

ما هي جودة الملف الذي تم تنزيله؟

قم بتنزيل الكتاب لتقييم الجودة

ما هي جودة الملفات التي تم تنزيلها؟

الفئات:

Computers - Organization and Data Processing

عام:

2021

الإصدار:

2

الناشر:

Cambridge University Press

اللغة:

english

ملف:

PDF, 102.47 MB

IPFS:

,

english, 2021

إقرأ علي الإنترنت

تحميل (pdf, 102.47 MB)

جاري التحويل إلى

التحويل إلى باء بالفشل

قد تكون في قائمة إهتماماتك

it-ebooks — Overcoming Intractability in Machine Learning Lecture Notes (Princeton COS598D)

Nelson, Hala; — Essential Math for AI

Nelson H. — Essential Math for AI. Next-Level Mathematics...AI Systems 2023

Ido Cohen & Guy Gilboa — LATENT MODES OF NONLINEAR FLOWS

A. El-Amawy, K. R. Dharmarajan (auth.), William A. Porter, Subhash C. Kak, Jorge L. Aravena (eds.) — Advances in Computing and Control

Steven L. Brunton, J. Nathan Kutz — Data Driven Science & Engineering

Cornelius T. Leondes — Control and Dynamic Systems (Neural Network Systems Techniques and Applications)

Cornelius T. Leondes — Neural Network Systems Techniques and Applications, Volume 7: Control and Dynamic Systems

Sergios Theodoridis — Machine Learning: A Bayesian and Optimization Perspective

Jose Manuel Vega, Soledad Le Clainche — Higher Order Dynamic Mode Decomposition and Its Applications

J. Nathan Kutz — Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

Paul Smolensky & Michael C. Mozer & David E. Rumelhart — Mathematical Perspectives on Neural Networks

Simon Haykin, JosÃ© C. PrÃncipe, Terrence J. Sejnowski, John McWhirter — New Directions in Statistical Signal Processing: From Systems to Brains

Vojislav Kecman — Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Haykin S. — Kalman filtering and neural networks

Simon Haykin — Kalman filtering and neural networks

STEVEN L. BRUNTON — Machine Learning, Dynamical Systems, and Control

Steven L. Brunton; J. Nathan Kutz — Data-Driven Science and Engineering

Hala Nelson — Essential Math for AI: Next-Level Mathematics for Developing Efficient and Successful AI Systems

Hala Nelson — Essential Math for AI (Final Version)

Holmes P., Lumley J.L., Berkooz G., Rowley C.W. — Turbulence, Coherent Structures, Dynamical Systems and Symmetry

J. Nathan Kutz, Steven L. Brunton — Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Steven L. Brunton, J. Nathan Kutz — Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Miguel A. Mendez, Andrea Ianiro, Bernd R. Noack, Steven L. Brunton — Data-Driven Fluid Mechanics

Miguel A. Mendez, Andrea Ianiro, Bernd R. Noack, Steven L. Brunton — Data-Driven Fluid Mechanics

Du Ke-Lin, Swamy M.N.S — Neural networks and statistical learning

J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor — Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

Alexandre Mauroy, Igor Mezić, Yoshihiko Susuki — The Koopman Operator in Systems and Control

Bernhard Schmidt — Machine Learning in Modeling and Simulation

Nathan Gaw, Panos M. Pardalos, Mostafa Reisi Gahrooei — Multimodal and Tensor Data Analytics for Industrial Systems Improvement

Y. C. Lee (ed.) — Evolution, Learning and Cognition

أكثر المصطلحات والعبارات المستخدمة