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Practical MATLAB Deep Learning: A Project-Based Approach
Author Stephanie Thomas , Michael Paluszek
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep l....
Release Date 2020/02 -
Author Matt Harrison , Theodore Petrou
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.Key FeaturesThis is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fu....
Release Date 2020/02 -
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 -
Beginning MATLAB and Simulink: From Novice to Professional
Author Sulaymon Eshkabilov
Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulin....
Release Date 2019/11 -
Practical MATLAB: With Modeling, Simulation, and Processing Projects
Author Irfan Turk
Apply MATLAB programming to the mathematical modeling of real-life problems from a wide range of topics. This pragmatic book shows you how to solve your programming problems, starting with a brief primer on MATLAB and the fundamentals of the MATLAB programming lang....
Release Date 2019/10 -
Mastering pandas - Second Edition
Author Ashish Kumar
Perform advanced data manipulation tasks using pandas and become an expert data analyst.Key FeaturesManipulate and analyze your data expertly using the power of pandas Work with missing data and time series data and become a true pandas expert Includes expert tips ....
Release Date 2019/10 -
R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Author Thomas Mailund
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and package....
Release Date 2019/08 -
Author Paul Teetor , JD Long
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes ....
Release Date 2019/06 -
Data Analysis and Applications 2
Author James R. Bozeman , Christos H. Skiadas
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.Volume 2 begins with an introductory chapter by ....
Release Date 2019/05 -
R Quick Syntax Reference: A Pocket Guide to the Language, APIs and Library
Author Margot Tollefson
This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to....
Release Date 2019/04 -
Author Francisco Juretig
Solve real-world statistical problems using the most popular R packages and techniquesKey FeaturesLearn how to apply statistical methods to your everyday research with handy recipes Foster your analytical skills and interpret research across industries and business....
Release Date 2019/03 -
Machine Learning with R Quick Start Guide
Author Ivan Pastor Sanz
Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.Key FeaturesUse R 3.5 to implement real-world examples in machine le....
Release Date 2019/03 -
Python for Data Science For Dummies, 2nd Edition
Author Luca Massaron , John Paul Mueller
The fast and easy way to learn Python programming and statisticsPython 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 In....
Release Date 2019/02 -
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Author Joshua F. Wiley , Matt Wiley
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techni....
Release Date 2019/02 -
MATLAB Machine Learning Recipes: A Problem-Solution Approach
Author Stephanie Thomas , Michael Paluszek
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Probl....
Release Date 2019/01 -
Author Jonathan Carroll
With Beyond Spreadsheets with R you’ll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data....
Release Date 2019/01 -
Author Dr. Sunil Kumar Chinnamgari
Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and moreKey FeaturesMaster machine learning, deep learning, and predictive modeling concepts in R 3.5 Build intelligent end-to-end projects for finance, retail, ....
Release Date 2019/01 -
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Author Abhishek Singh , Karthik Ramasubramanian
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R pr....
Release Date 2018/12 -
Author Robert Johansson
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and....
Release Date 2018/12 -
Author Adrian Salceanu
A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern toolsKey FeaturesWork with powerful open-source libraries for data wrangling, analysis, and visualization Develop full-featured, full....
Release Date 2018/12 -
Bayesian Analysis with Python - Second Edition
Author Osvaldo Martin
Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ A modern, practical and computational approach to Bayesian statistical modeling A tutorial....
Release Date 2018/12 -
Author David Taieb
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.Key FeaturesBrid....
Release Date 2018/12 -
Numerical Computing with Python
Author Aldrin Yim , Claire Chung , Allen Yu , Pratap Dangeti
Understand, explore, and effectively present data using the powerful data visualization techniques of PythonKey FeaturesUse the power of Pandas and Matplotlib to easily solve data mining issues Understand the basics of statistics to build powerful predictive data m....
Release Date 2018/12 -
Author Paul Murrell
Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth re....
Release Date 2018/11 -
Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools
Author Jun Xu
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific t....
Release Date 2018/11 -
R Graphics Cookbook, 2nd Edition
Author Winston Chang
This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem w....
Release Date 2018/11 -
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 -
Solving Partial Differential Equation Applications with PDE2D
Author Granville Sewell
Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author Solving Partial Differential Equation Applications with PDE2D derives and solves a range of ordinary and partial differential equation (PDE)....
Release Date 2018/10 -
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Author Fabio Nelli
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with ....
Release Date 2018/09 -
Author Kaelen Medeiros
Study data analysis and visualization to successfully analyze data with RKey FeaturesGet to grips with data cleaning methods Explore statistical concepts and programming in R, including best practices Build a data science project with real-world examples Book Descr....
Release Date 2018/09