Neural Data Science

Written By Erik Lee Nylen
Neural Data Science
  • Publsiher : Academic Press
  • Release : 24 February 2017
  • ISBN : 012804098X
  • Pages : 368 pages
  • Rating : /5 from reviews
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Download or read book entitled Neural Data Science by author: Erik Lee Nylen which was release on 24 February 2017 and published by Academic Press with total page 368 pages . This book available in PDF, EPUB and Kindle Format. A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. Includes discussions of both MATLAB and Python in parallel Introduces the canonical data analysis cascade, standardizing the data analysis flow Presents tactics that strategically, tactically, and algorithmically help improve the organization of code

Neural Data Science

Neural Data Science
  • Author : Erik Lee Nylen,Pascal Wallisch
  • Publisher : Academic Press
  • Release Date : 2017-02-24
  • Total pages : 368
  • ISBN : 012804098X
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Summary : A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to ...

Exam Prep for Neural Data Science

Exam Prep for  Neural Data Science
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2021-04-20
  • Total pages : 212
  • ISBN : 012804098X
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Summary : Read online Exam Prep for Neural Data Science written by , published by which was released on . Download full Exam Prep for Neural Data Science Books now! Available in PDF, ePub and Kindle....

Studies in Neural Data Science

Studies in Neural Data Science
  • Author : Antonio Canale,Daniele Durante,Lucia Paci,Bruno Scarpa
  • Publisher : Springer
  • Release Date : 2018-12-28
  • Total pages : 156
  • ISBN : 012804098X
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Summary : This volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain imaging data. During this meeting, which was held on June 25–27, 2017 in Siena (Italy), ...

Analysis of Neural Data

Analysis of Neural Data
  • Author : Robert E. Kass,Uri T. Eden,Emery N. Brown
  • Publisher : Springer
  • Release Date : 2014-07-08
  • Total pages : 648
  • ISBN : 012804098X
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Summary : 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, Analysis of Neural Data provides a unified treatment of analytical methods that have become ...

Case Studies in Neural Data Analysis

Case Studies in Neural Data Analysis
  • Author : Mark A. Kramer,Uri T. Eden
  • Publisher : MIT Press
  • Release Date : 2016-11-04
  • Total pages : 384
  • ISBN : 012804098X
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Summary : A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data....

Data Science with Python

Data Science with Python
  • Author : Rohan Chopra,Aaron England,Mohamed Noordeen Alaudeen
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-07-19
  • Total pages : 426
  • ISBN : 012804098X
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Summary : Leverage the power of the Python data science libraries and advanced machine learning techniques to analyse large unstructured datasets and predict the occurrence of a particular future event. Key Features Explore the depths of data science, from data collection through to visualization Learn pandas, scikit-learn, and Matplotlib in detail Study ...

Data Science Programming All In One For Dummies

Data Science Programming All In One For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release Date : 2020-01-09
  • Total pages : 768
  • ISBN : 012804098X
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Summary : Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in ...

Malware Data Science

Malware Data Science
  • Author : Joshua Saxe,Hillary Sanders
  • Publisher : Unknown
  • Release Date : 2018
  • Total pages : 272
  • ISBN : 012804098X
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Summary : This title shows you how to apply machine learning, statistics and data visualization as you build your own detection and intelligence system. Following an overview of basic reverse engineering concepts like static and dynamic analysis, you'll learn to measure code similarities in malware samples and use machine learning frameworks like ...

Data Science for Beginners

Data Science for Beginners
  • Author : Andrew Park
  • Publisher : Independently Published
  • Release Date : 2020-01-26
  • Total pages : 732
  • ISBN : 012804098X
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Summary : Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle. Do you want to learn more about the amazing world of Data Science? Or are you interested in becoming a Python geek? Then keep reading. Created with the beginner in mind, this powerful ...

Data Science from Scratch

Data Science from Scratch
  • Author : G S Collins
  • Publisher : Unknown
  • Release Date : 2020-01-13
  • Total pages : 324
  • ISBN : 012804098X
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Summary : Become the master of machine learning with this powerful guide. Do you want to know more about neural networks? Have you heard of machine learning, but you're not sure where to begin? Written with the beginner in mind, this detailed guide breaks down everything you need to know about deep ...

Statistics for Data Science

Statistics for Data Science
  • Author : James D. Miller
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-11-17
  • Total pages : 286
  • ISBN : 012804098X
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Summary : Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; Implement statistics in data science tasks such as data cleaning, mining, ...

Data Science Using Python and R

Data Science Using Python and R
  • Author : Chantal D. Larose,Daniel T. Larose
  • Publisher : John Wiley & Sons
  • Release Date : 2019-03-20
  • Total pages : 256
  • ISBN : 012804098X
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Summary : Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the ...

Python for Data Science For Dummies

Python for Data Science For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release Date : 2019-02-27
  • Total pages : 496
  • ISBN : 012804098X
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Summary : The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the ...

Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science
  • Author : Minakhi Rout,Jitendra Kumar Rout,Himansu Das
  • Publisher : Springer Nature
  • Release Date : 2019-11-26
  • Total pages : 295
  • ISBN : 012804098X
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Summary : This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems ...

Advances in Data Science Methodologies and Applications

Advances in Data Science  Methodologies and Applications
  • Author : Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release Date : 2020-08-26
  • Total pages : 333
  • ISBN : 012804098X
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Summary : Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent ...