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Author AnnMarie Thomas
This is a book for parents and other educators—both formal and informal, who are curious about the intersections of learning and making. Through stories, research, and data, it builds the case for why it is crucial to encourage today’s youth to be makers—to see the....
Release Date 2014/09 -
Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics
Author Thomas W. Dinsmore
Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service ....
Release Date 2016/08 -
Author Russell Jurney
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how ....
Release Date 2017/06 -
A Profile of the Electric Power Industry
Author Charles E. Clark
The electric power industry was traditionally a utility to which people gave little thought. It has stable prices, low business risk, and predictable emerging issues. But great change has shaken the industry—mergers have resulted in large and powerful companies. Nat....
Release Date 2012/09 -
Business Survival Analysis Using SAS
Author Jorge Ribeiro
Solve business problems involving time-to-event and resulting probabilities by following the modeling tutorials in Business Survival Analysis Using SAS®: An Introduction to Lifetime Probabilities, the first book to be published in the field of business survival ana....
Release Date 2017/07 -
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Author Daniel D. Gutierrez
A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data ....
Release Date 2015/10 -
Learning SciPy for Numerical and Scientific Computing
Author Francisco J. Blanco-Silva
For solving complex problems in mathematics, science, or engineering, SciPy is the solution. Building on your basic knowledge of Python, and using a wealth of examples from many scientific fields, this book is your expert tutor.Perform complex operations with large ....
Release Date 2013/02 -
Author Nataraj Dasgupta
Get command of your organizational Big Data using the power of data science and analytics About This BookA perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisionsWork with the best tools such as Ap....
Release Date 2018/01 -
Author Duncan M. McGreggor
A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex dataCustomize, configure, and handle events, and interact with figures using matplotlibCreate highly intricate and complicated graphs using matplotlibExplore matplot....
Release Date 2015/06 -
Author Yu-Wei Chiu - David Chiu
Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniquesAbout This BookGain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packagesUnders....
Release Date 2016/07 -
Author Anshul Joshi
Explore the world of data science from scratch with Julia by your sideAbout This BookAn in-depth exploration of Julia's growing ecosystem of packagesWork with the most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn ab....
Release Date 2016/09 -
Simulation for Data Science with R
Author Matthias Templ
Harness actionable insights from your data with computational statistics and simulations using RAbout This BookLearn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using ....
Release Date 2016/06 -
Meshing, Geometric Modeling and Numerical Simulation 1
Author Paul Louis George , Houman Borouchaki
Triangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena. In numerical simulations, the functional spaces of approxi....
Release Date 2017/11 -
Learning Quantitative Finance with R
Author Prashant Vats , Dr. Param Jeet
Implement machine learning, time-series analysis, algorithmic trading and moreAbout This BookUnderstand the basics of R and how they can be applied in various Quantitative Finance scenariosLearn various algorithmic trading techniques and ways to optimize them using....
Release Date 2017/03 -
Data Science Algorithms in a Week
Author Dávid Natingga
Build strong foundation of machine learning algorithms In 7 days.About This BookGet to know seven algorithms for your data science needs in this concise, insightful guideEnsure you're confident in the basics by learning when and where to use various data science a....
Release Date 2017/08 -
Codeless Time Series Analysis with KNIME
Author Corey Weisinger , Maarit Widmann , Daniele Tonini
Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methodsKey FeaturesGain a solid understanding of time series analysis and its applications using KNIMELearn how to apply popular statistical and machine learning time series anal....
Release Date 2022/08 -
Variational Methods for Engineers with Matlab
Author Eduardo Souza de Cursi
This book is issued from a 30 years’ experience on the presentation of variational methods to successive generations of students and researchers in Engineering. It gives a comprehensive, pedagogical and engineer-oriented presentation of the foundations of variation....
Release Date 2015/10 -
Author Peter Sheahan
The world is not short of ideas, but it is short of people who know how to carry them out. Making It Happen unravels the process of taking a good idea and turning it into a successful venture. Author Peter Sheahan guides the reader through the five competencies that....
Release Date 2011/04 -
Introduction to Business Analytics, Second Edition
This book presents key concepts related to quantitative analysis in business.It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative s.... -
Sustaining an Analytics Advantage
Author Peter C. Bell
The use of analytics is increasingly commonplace in business - and as a result, it's hard to gain a lasting competitive advantage from analytics. Nonetheless, there are companies that have done just that over time. Show and hide more
Release Date 2015/04 -
Author David Nettleton
Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organizatio....
Release Date 2014/01 -
Advanced Theory of Constraint and Motion Analysis for Robot Mechanisms
Author Ning Ma , Fulei Chu , Zhijing Feng , Jingshan Zhao
Advanced Theory of Constraint and Motion Analysis for Robot Mechanisms provides a complete analytical approach to the invention of new robot mechanisms and the analysis of existing designs based on a unified mathematical description of the kinematic and geometric co....
Release Date 2013/11 -
Sustainable Power Technologies and Infrastructure
Author Truman S. Storvick , Galen J. Suppes
This book presents an overview of current renewable energy sources, challenges and future trends. Drawing from their longtime expertise and deep knowledge of the field, the authors present a critic and well-structured perspective on sustainable power sources and te....
Release Date 2015/11 -
Essentials of Time Series for Financial Applications
Author Manuela Pedio , Massimo Guidolin
Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset....
Release Date 2018/05 -
Bayesian Statistics: An Introduction, 4th Edition
Author Peter M. Lee
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on ....
Release Date 2012/09 -
The Power of Consistency: Prosperity Mindset Training for Sales and Business Professionals
Author Weldon Long
How to achieve wealth, happiness, and peace of mind through personal responsibilityThe Power of Consistency is based on the fundamental premise that private declarations dictate future actions. In other words, we tend to take actions with the thoughts and beliefs we....
Release Date 2013/03 -
Author Kathy Williams Chiang , Andrew Roman Wells
Transforming data into revenue generating strategies and actionsOrganizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework ....
Release Date 2017/03 -
End-to-end Data Analytics for Product Development
Author Rosa Arboretti Giancristofaro , Mattia De Dominicis
An interactive guide to the statistical tools used to solve problems during product and process innovationEnd to End Data Analytics for Product Development is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analyti....
Release Date 2020/04 -
Principles of Managerial Statistics and Data Science
Author Roberto Rivera
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data....
Release Date 2020/02