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How to Invent and Protect Your Invention: A Guide to Patents for Scientists and Engineers
Author Elyse N. Ball , Wayne H. Watkins , Joseph P. Kennedy
A straightforward guide to inventing, patenting, and technology commercialization for scientists and engineersAlthough chemists, physicists, biologists, polymer scientists, and engineers in industry are involved in potentially patentable work, they are often under-p....
Release Date 2012/08 -
Author Kevin R. Mirabile
The most up-to-date look at how to understand, and invest in, hedge fundsHedge funds are an essential part of the alternative investing arena, and will continue to be so for the foreseeable future. It's important that those investing, or thinking about investing, w....
Release Date 2013/01 -
Author Garrett Grolemund
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own func....
Release Date 2014/07 -
Hands-On Ensemble Learning with R
Author Prabhanjan Narayanachar Tattar
Explore powerful R packages to create predictive models using ensemble methodsKey FeaturesImplement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble....
Release Date 2018/07 -
Author Ricardo Anjoleto Farias , Nataraj Dasgupta , Vitor Bianchi Lanzetta
A hands-on guide for professionals to perform various data science tasks in RKey FeaturesExplore the popular R packages for data science Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the hel....
Release Date 2018/11 -
Hands-On Data Analysis with Pandas - Second
Get to grips with pandas - a fast, versatile, and high-performance Python library for data discovery, data manipulation, data preparation, and handling data for analytical tasksKey FeaturesPerform efficient data analysis and manipulation tasks using pandas 1.xApply pandas to different real-world dom.... -
Hands-On Data Analysis with NumPy and pandas
Author Curtis Miller
Get to grips with the most popular Python packages that make data analysis possibleAbout This BookExplore the tools you need to become a data analystDiscover practical examples to help you grasp data processing conceptsWalk through hierarchical indexing and groupin....
Release Date 2018/06 -
Author John Jay Hilfiger
It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, busi....
Release Date 2015/10 -
Graphical Data Analysis with R
Author Antony Unwin
See How Graphics Reveal InformationGraphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are avail....
Release Date 2016/04 -
GNU Octave by Example: A Fast and Practical Approach to Learning GNU Octave
Author Ashwin Pajankar , Sharvani Chandu
Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.GNU Octave by Ex....
Release Date 2020/09 -
Author John Verzani
Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on....
Release Date 2011/09 -
Getting Started with Python Data Analysis
Author Martin Czygan , Phuong Vo.T.H
Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and MatplotlibCreate, manipulat....
Release Date 2015/11 -
General Theory of Algebraic Equations
Author Etienne Bézout , Eric Feron
This book provides the first English translation of Bezout's masterpiece, the General Theory of Algebraic Equations. It follows, by almost two hundred years, the English translation of his famous mathematics textbooks. Here, Bézout presents his approach to solving ....
Release Date 2009/01 -
Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
Author Thomas Mailund
Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you'll write functions that manipulate other functions, and you'll construct complex functions using simpler func....
Release Date 2017/03 -
Functional Data Structures in R: Advanced Statistical Programming in R
Author Thomas Mailund
Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-va....
Release Date 2017/11 -
Financial Risk Modelling and Portfolio Optimization with R
Author Bernhard Pfaff
Introduces the latest techniques advocated for measuring financial market risk and portfolio optimisation, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book.Financial Risk Modelling and Portfolio ....
Release Date 2013/01 -
Exploring Everyday Things with R and Ruby
Author Sau Sheong Chang
If you’re curious about how things work, this fun and intriguing guide will help you find real answers to everyday problems. By using fundamental math and doing simple programming with the Ruby and R languages, you’ll learn how to model a problem and work toward a s....
Release Date 2012/07 -
Explorations of Mathematical Models in Biology with MATLAB
Author Mazen Shahin
Explore and analyze the solutions of mathematical models from diverse disciplinesAs biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MATLAB, to focus more on building and ana....
Release Date 2014/01 -
Author Göran Broström
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete a....
Release Date 2012/04 -
Essential MATLAB for Engineers and Scientists, 6th Edition
Author Daniel Valentine , Brian Hahn
Essential MATLAB for Engineers and Scientists, Sixth Edition, provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated t....
Release Date 2016/09 -
Essential MATLAB for Engineers and Scientists, 5th Edition
Author Daniel Valentine , Brian Hahn
The fifth edition of Essential MATLAB for Engineers and Scientists provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustra....
Release Date 2013/01 -
Equitable Solutions for Retaining a Robust STEM Workforce
Author Janet B. Koster , Donna J. Dean
Equitable Solutions for Retaining a Robust STEM Workforce offers strategies and proven recommendations to accommodate work/life satisfaction for those in the STEM fields. Using real-life case studies, this book discusses universal issues such as dual careers and str....
Release Date 2013/12 -
Environmental Data Analysis with MatLab, 2nd Edition
Author Joshua Menke , William Menke
Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets ....
Release Date 2016/03 -
Author Brani Vidakovic
Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGSThrough its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages....
Release Date 2017/11 -
Author Harriet Dashnow , Stéfan van der Walt , Juan Nunez-Iglesias
Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that yo....
Release Date 2017/08 -
Electronically Scanned Arrays MATLAB® Modeling and Simulation
Author Arik D. Brown
"[Contains] more lengthy mathematical derivations than most {comparable books] … for arrays, provides for a unique, stand-alone mathematical description that can be adopted by anyone trying to communicate the theoretical foundation for their array design…has insigh....
Release Date 2017/12 -
Electronic Circuits with MATLAB, PSpice, and Smith Chart
Author Won Y. Yang , Jaekwon Kim , Kyung W. Park
Provides practical examples of circuit design and analysis using PSpice, MATLAB, and the Smith ChartThis book presents the three technologies used to deal with electronic circuits: MATLAB, PSpice, and Smith chart. It gives students, researchers, and practicing engineers t....
Release Date 2020/01 -
Author Robin Lovelace , Colin Gillespie
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—un....
Release Date 2016/12 -
Author Robin Lovelace , Colin Gillespie
What you’ll learn—and how you can apply itYou’ll learn how to optimize your tried and tested code. In this Lesson, learners will understand how to profile code to identify and prevent key bottlenecks in R performance, as well as tricks that may improve performance ....
Release Date 2016/12 -
Efficient data processing with R
Author Robin Lovelace , Colin Gillespie
What you’ll learn—and how you can apply itYou’ll learn to perform efficient data carpentry—the process of taking rough, raw, and to some extent randomly arranged input data and creating neatly organized and tidy data. Working with clean data will be beneficial for e....
Release Date 2016/12