“…Miller’s modeling techniques draw on methods from economics, accounting, finance, classical and Bayesian statistics, machine learning, simulation, and mathematical programming. Miller illustrates them through realistic case studies, with fully worked examples in both R and Python. …”

“…If any errors are found that have an effect on the understanding of a subject or mathematical equation, we have published them at: http://www.maskell.com/lean_accounting/subpages/free_stuff/PLA2%20Errors%20_Corrections_20130130.pdf…”

“…While the current assessment landscape is replete with assessments that measure knowledge of core content areas such as mathematics, law, languages, science and social studies, there is a lack of assessments and research that focus on holistic competencies. …”

“…The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics. …”

“…Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. …”

“…The book begins by teaching you how to use TDD to tackle various problems, from simple mathematical functions to web apps. You'll then learn how to structure and run your unit tests using Go's standard testing library, and explore two popular testing frameworks, Testify and Ginkgo. …”

“…He is a fellow of the American Statistical Association and the Institute for Mathematical Statistics, was designated a National Associate of the National Academies, was awarded for his career contributions by the National Council on Measurement in Education, and was elected to the National Academy of Education…”

“…The Rasch model's elegant mathematical form is suitable for extensions that allow for greater flexibility in handling complex samples of examinees and collections of tasks from different domains. …”

“…Prerequisites include knowledge of the theory and methods of mathematical statistics and graduate coursework in survey statistics. …”

“…What you will learn Develop simple to advanced data visualizations in Matplotlib Use the pyplot API to quickly develop and deploy different plots Use object-oriented APIs for maximum flexibility with the customization of figures Develop interactive plots with animation and widgets Use maps for geographical plotting Enrich your visualizations using embedded texts and mathematical expressions Embed Matplotlib plots into other GUIs used for developing applications Use toolkits such as axisartist, axes_grid1, and cartopy to extend the base functionality of Matplotlib Who this book is for The Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. …”

“…It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. …”

“…What You Will Learn Know how to build your own smart contracts and cryptocurrencies Understand the Solidity language Find out about data types, control structure, functions, inheritance, mathematical operations, and much more See the various types of forks and discover how they are related to Ethereum Get to know the various concepts of web3.js and its APIs so you can build client-side apps Build a DAO from scratch and acquire basic knowledge of DApps on Ethercast Be guided through the project so you can optimize EVM for smart contracts Build your own decentralized applications (DApps) by taking a practical approach In Detail Ethereum is a public, blockchain-based distributed computing platform featuring smart contract functionality. …”

“…It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors.At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected…”

“…Rather than testing the content of learning, standards could relate to cognitive skills such as problem-solving, communicating and reasoning – with test/examination developers adapting those skills to subjects such as mathematics, science or literary analysis. Similarly, more use might be made of innovative assessment methods based on information and communication technologies, inasmuch as these may feature simulation or interactivity, for instance, at a reasonable cost. …”

“…Secondly, all engineering work has a basis in the application of science and mathematics to real-world problems. And so does software development! …”

“…What You Will Learn Utilize the power of R to handle data extraction, manipulation, and exploration techniques Use R to visualize data spread across multiple dimensions and extract useful features Explore the underlying mathematical and logical concepts that drive machine learning algorithms Dive deep into the world of analytics to predict situations correctly Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Write reusable code and build complete machine learning systems from the ground up Solve interesting real-world problems using machine learning and R as the journey unfolds Harness the power of robust and optimized R packages to work on projects that solve real-world problems in machine learning and data science In Detail Data science and machine learning are some of the top buzzwords in the technical world today. …”

“…What You Will Learn Collect GIS data for your needs Store the data in a PostGIS database Exploit the data using the power of the GIS queries Analyze the data with basic and more advanced GIS tools Publish your data and share it with others Build a web map with your published data In Detail The most commonly used GIS tools automate tasks that were historically done manually - compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operations. This book is an easy-to-follow guide to use the most matured open source GIS tools for these tasks. …”

“…Style and approach This book gives you a detailed and step-by-step explanation of each mathematical concept, which will help you build an..…”

“…What You Will Learn Build Google Cardboard virtual reality applications Explore the ins and outs of the Cardboard SDK Java classes and interfaces, and apply them to practical VR projects Employ Android Studio, Android SDK, and the Java language in a straightforward manner Discover and use software development and Android best practices for mobile and Cardboard applications, including considerations for memory management and battery life Implement user interface techniques for menus and gaze-based selection within VR Utilize the science, psychology, mathematics, and technology behind virtual reality, especially those pertinent to mobile Cardboard VR experiences Understand Cardboard VR best practices including those promoted by Google Design Lab. …”