“…Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R How to access R's thousands of functions, libraries, and data sets How to draw valid and useful conclusions from your data How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality. …”

“…This easy-to-use Excel formulas and functions survival guide shows you how to: Work with financial functions like PMT, PPMT, NPER, RATE, and PV Calculate mean, median, mode, standard deviation, and many more statistical functions Troubleshoot formulas for common errors and validate your data to avoid mistakes Work with dates, times, logic operators, conditions, and basic and advanced mathematical functions You don't need a degree in data science or advanced mathematics to take advantage of the full functionality and flexibility of Microsoft Excel. …”

“…Corrosive substances are evidenced by their capacity to reduce cell viability below the defined threshold. Several validated methods are referenced in the Test Guideline and follow the procedure described above. …”

“…Corrosive substances are evidenced by their capacity to reduce cell viability below the defined threshold. Several validated methods are referenced in the Test Guideline and follow the procedure described above. …”

“…Discover the design issues that arise when you misinterpret data—or fail to use data, period Understand the kinds of data you need to best inform your design decisions Review the best data gathering and analysis tools: Google Analytics, Optimizely, and Tableau Identify what your project team should test prior to launch Learn ways to create testable hypotheses by connecting user profiles to project goals Explore the use of opt-in betas and A/B tests during product roll-outs Figure out if and when your design tests have reached statistical significance Learn how to use analytics data to validate or modify your designs Jen Matson is a UX designer with over twenty years of experience designing and building websites for companies such as Amazon, Comedy Central, LEGO, and T-Mobile. …”

“…APIs covered include JSF, CDI, EJB 3, JPA, Bean Validation, JMS, JAX-RS, WebSocket, and Batch. Explore in detail the primary APIs that form Java EE7 Discover Cargo Tracker, a free open source application used for demonstrating Java EE APIs Review the high-level changes that were introduced with Java EE5, Java EE6, and Java EE7 Explore the API implementations, plug-ins, and extensions that may be included in the upcoming Java EE8 Learn about the “Adopt-a-JSR” program for Java EE8 Reza Rahman works for the Oracle Corporation as a Java EE/GlassFish evangelist . …”

“…This book also covers validation methods to insure that the data provided by a user is good before the data is entered into an array. …”

“…You will: Build a spectrum of supervised and unsupervised machine learning algorithms Implement machine learning algorithms with Spark MLlib libraries Develop a recommender system with Spark MLlib libraries Handle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit model…”

“…What You'll Learn: Master the XML language Create, validate, parse, and transform XML documents Apply Java’s SAX, DOM, StAX, XPath, and XSLT APIs Master the JSON format for serializing and transmitting data Code against third-party APIs such as Jackson, mJson, Gson, JsonPath Master Oracle’s JSON-P API in a Java SE context…”

“…Why do networked systems sometimes give certificate validation errors? If I need to encrypt something, how should I do that? …”

“…With the step-by-step instructions, this course will guide you in creating some validation to navigate between different pages. You'll also be able to build different modal boxes, create a sidebar, and add a dark mode. …”

“…Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. …”

“…You will also learn about proper exception handling and logging techniques, and how to cover your code with unit tests to reduce bugs and validate your design. Part III explores implementation and deployment details for each of Microsoft’s XAML UIs, along with advice on deploying and maintaining your application across different devices using version control repositori es and continuous integration. …”

“…It takes understanding and a validation of their experience and perspective. This book approaches money management from a fresh angle, beginning with the recognition that our experiences with money can often run counter to our core values. …”

“…El propòsit és verificar que aquestes premisses són vàlides al llarg de tota l’escolaritat i a les seves diferents modalitats i característiques." -- Prové de l'editor…”
Accés restringit als usuaris de la UB, UAB, UdG, URV, URL, UVic-UCC

“…Potential and current customers want to be listened to, validated, and have a platform to be heard-especially online. …”

“…The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers).The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. …”

“…Miller walks you through model construction, explanatory variable subset selection, and validation, demonstrating best practices for improving out-of-sample predictive performance. …”

“…The book's example scripts include one that sorts a data table according to the user's search queries, a form validation script, a script that shows form fields only when the user needs them, a drop-down menu, and a data retrieval script that uses simple Ajax and shows the data in an animation. …”

“…It explains from the customer’s point of view how to plan and then design a multilingual solution with the IBM-recommended globalization application architecture, how it works throughout the application development cycle, and how the working example validates the soundness of this architecture…”