Neural Data Science

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  • Author : Erik Lee Nylen
  • Publisher : Academic Press
  • Pages : 250 pages
  • ISBN : 9780128040430
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Neural Data Science

Download or Read online Neural Data Science full in PDF, ePub and kindle. this book written by Erik Lee Nylen and published by Academic Press which was released on 01 February 2017 with total page 250 pages. We cannot guarantee that Neural Data Science book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. MATLAB remains the dominant language for scientific computing and analysis in neuroscience, but a more general purpose option - Python - is emerging. 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, which allows to transcend platform tribalism and enables coding versatility. Utilizing a Rosetta stone approach, including both MATLAB and Python in parallel Introducing the canonical data analysis cascade, standardizing the data analysis flow Introducing Comment pointers, which improve the readability of code Introducing data marning Introducing levels of coding principles, which improves the organize of code strategically, tactically and algorithmically Implementing a deeply philosophical framework of 0 to 1 teaching "

Neural Data Science

Neural Data Science
  • Author : Erik Lee Nylen,Pascal Wallisch
  • Publisher : Academic Press
  • Release : 01 February 2017
GET THIS BOOK Neural Data Science

MATLAB remains the dominant language for scientific computing and analysis in neuroscience, but a more general purpose option - Python - is emerging. 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, which allows to transcend platform tribalism and enables coding versatility. Utilizing a Rosetta stone approach, including both MATLAB and Python in parallel Introducing the canonical data analysis cascade,

Neural Data Science

Neural Data Science
  • Author : Erik Lee Nylen,Pascal Wallisch
  • Publisher : Academic Press
  • Release : 24 February 2017
GET THIS BOOK Neural Data Science

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

Studies in Neural Data Science

Studies in Neural Data Science
  • Author : Antonio Canale,Daniele Durante,Lucia Paci,Bruno Scarpa
  • Publisher : Springer
  • Release : 28 December 2018
GET THIS BOOK Studies in Neural Data Science

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), the research groups focused on recent multimodality imaging datasets measuring brain function and structure, and proposed a wide variety of methods for network analysis, spatial inference, graphical modeling, multiple testing,

The Decision Maker s Handbook to Data Science

The Decision Maker s Handbook to Data Science
  • Author : Stylianos Kampakis
  • Publisher : Apress
  • Release : 26 November 2019
GET THIS BOOK The Decision Maker s Handbook to Data Science

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts,

Data Science Using Python and R

Data Science Using Python and R
  • Author : Chantal D. Larose,Daniel T. Larose
  • Publisher : John Wiley & Sons
  • Release : 20 March 2019
GET THIS BOOK Data Science Using Python and R

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 top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using

Analysis of Neural Data

Analysis of Neural Data
  • Author : Robert E. Kass,Uri T. Eden,Emery N. Brown
  • Publisher : Springer
  • Release : 08 July 2014
GET THIS BOOK Analysis of Neural Data

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 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

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 : 26 August 2020
GET THIS BOOK Advances in Data Science Methodologies and Applications

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 techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These

Fundamentals of Data Science

Fundamentals of Data Science
  • Author : Sanjeev J. Wagh,Manisha S. Bhende,Anuradha D. Thakare
  • Publisher : CRC Press
  • Release : 26 September 2021
GET THIS BOOK Fundamentals of Data Science

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights

Data Scientists at Work

Data Scientists at Work
  • Author : Sebastian Gutierrez
  • Publisher : Apress
  • Release : 12 December 2014
GET THIS BOOK Data Scientists at Work

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science

So You Want to Be a Neuroscientist

So You Want to Be a Neuroscientist
  • Author : Ashley Juavinett
  • Publisher : Columbia University Press
  • Release : 08 December 2020
GET THIS BOOK So You Want to Be a Neuroscientist

The pursuit to understand the human brain in all its intricacy is a fascinatingly complex challenge and neuroscience is one of the fastest-growing scientific fields worldwide. There is a wide range of career options open to those who wish to pursue a career in neuroscience, yet there are few resources that provide students with inside advice on how to go about it. So You Want to Be a Neuroscientist? is a contemporary and engaging guide for aspiring neuroscientists of diverse

Case Studies in Neural Data Analysis

Case Studies in Neural Data Analysis
  • Author : Mark A. Kramer,Uri T. Eden
  • Publisher : MIT Press
  • Release : 04 November 2016
GET THIS BOOK Case Studies in Neural Data Analysis

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data.

Introduction to Deep Learning and Neural Networks with PythonTM

Introduction to Deep Learning and Neural Networks with PythonTM
  • Author : Ahmed Fawzy Gad,Fatima Ezzahra Jarmouni
  • Publisher : Academic Press
  • Release : 07 December 2020
GET THIS BOOK Introduction to Deep Learning and Neural Networks with PythonTM

Introduction to Deep Learning and Neural Networks with PythonTM: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and PythonTM code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and PythonTM examples,

New Technologies and the Law in War and Peace

New Technologies and the Law in War and Peace
  • Author : William H. Boothby
  • Publisher : Cambridge University Press
  • Release : 20 December 2018
GET THIS BOOK New Technologies and the Law in War and Peace

Policymakers, legislators, scientists, thinkers, military strategists, academics, and all those interested in understanding the future want to know how twenty-first century scientific advance should be regulated in war and peace. This book tries to provide some of the answers. Part I summarises some important elements of the relevant law. In Part II, individual chapters are devoted to cyber capabilities, highly automated and autonomous systems, human enhancement technologies, human degradation techniques, the regulation of nanomaterials, novel naval technologies, outer space, synthetic

Dynamic Neuroscience

Dynamic Neuroscience
  • Author : Zhe Chen,Sridevi V. Sarma
  • Publisher : Springer
  • Release : 27 December 2017
GET THIS BOOK Dynamic Neuroscience

This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in