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analysis of neural data

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Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks

Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis

Neural Network Data Analysis Using SimulnetTM

Case Studies in Neural Data Analysis: A Guide for the Practicing Neuroscientist (Computational Neuroscience Series)

洋書 Paperback, Statistics for Data Science: Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

Analysis of Neural Data【電子書籍】 Robert E. Kass

Analysis and Visualization of Discrete Data Using Neural Networks (English Edition)

Analysis of Neural Data (Springer Series in Statistics) (English Edition)

Analysis and Visualization of Discrete Data Using Neural Networks【電子書籍】 Koji Koyamada

Bayesian Data Analysis for the Behavioral and Neural Sciences: Non-Calculus Fundamentals (English Edition)

Neural Data Analysis: Programming Techniques for Signal Processing in Neuroscience With Python (Genesis Protocol: Next Generation Technology for Biological and Life Sciences) (English Edition)

Neural Oscillations (Brainwaves) Analysis: A Step-by-Step Guide to Collecting and Analyzing EEG Data with Emotiv EPOC Neuroheadset Series EEGLAB MATLAB

Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks

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価格￥11,163

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Deep Learning: A Comprehensive Guide to Python Coding and Programming Machine Learning and Neural Networks for Data Analysis

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価格￥8,428

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Neural Network Data Analysis Using SimulnetTM

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価格￥9,348

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Case Studies in Neural Data Analysis: A Guide for the Practicing Neuroscientist (Computational Neuroscience Series)

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価格￥8,499

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洋書 Paperback, Statistics for Data Science: Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

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価格￥13,043

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Analysis of Neural Data【電子書籍】[ Robert E. Kass ]

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価格￥20,662

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＜p＞Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, ＜em＞Analysis of Neural Data＜/em＞ provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, ＜em＞Analysis of Neural Data＜/em＞ serves as both a self-contained introduction and a reference work.＜/p＞画面が切り替わ...

Analysis and Visualization of Discrete Data Using Neural Networks (English Edition)

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価格￥11,754

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Analysis of Neural Data (Springer Series in Statistics) (English Edition)

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価格￥20,700

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Analysis and Visualization of Discrete Data Using Neural Networks【電子書籍】[ Koji Koyamada ]

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価格￥9,593

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＜p＞This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Google Colab, including code and text cells, and explores visualization and deep learning applications.＜/p＞＜p＞Key features of the book include topics like statistical analysis, regression analysis, optimization, correlation analysis, and neural networks. It adopts a practical approach by providing examples and step-by-step instructions for learners to apply the techniques to real-world problems.＜/p＞＜p＞The book also highlights the strengths and features of both Excel and Google Colab, allowing learners to leverage the capabilities of each platform. The clear explanations of concepts, visual aids, and code snippets aid comprehension help learners understand the principles of data...