“…Microsoft Data Platform MVP Itzik Ben-Gan shows you how to: Review core SQL concepts and its mathematical roots Create tables and enforce data integrity Perform effective single-table queries by using the SELECT statement Query multiple tables by using joins, subqueries, table expressions, and set operators Use advanced query techniques such as window functions, pivoting, and grouping sets Insert, update, delete, and merge data Use transactions in a concurrent environment Get started with programmable objects–from variables and batches to user-defined functions, stored procedures, triggers, and dynamic SQL…”

“…He holds a bachelor's degree in mathematics, a master's degree in statistical computing, and a PhD in statistics…”

“…Ideal as a primer and daily reference for anyone creating both the culture and tooling necessary for SLO-based approaches to reliability, this guide provides detailed analysis of advanced SLO and service-level indicator (SLI) techniques. Armed with mathematical models and statistical knowledge to help you get the most out of an SLO-based approach, you’ll learn how to build systems capable of measuring meaningful SLIs with buy-in across all departments of your organization. …”

“…earn to run your own simulation by working with model analysis, mathematical background, simulation output data, and most importantly, a network simulator for wireless technology. …”

“…As you progress, the course will provide insights into different functions such as collection, conditional, Hive string functions, Hive date functions, and mathematical functions. In addition to this, you'll learn to work with different file formats and compressions. …”

“…Considering these facts, this book could present itself as a useful literature for introducing some basic principles of digital communications and its mathematical formalization and also for staying updated with the recent developments in the performance analysis of space diversity reception over fading channels in the presence of CCI. …”

“…Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar.. …”

“…In Part I, the overall wireless communication theories are introduced, a mathematical model is defined, and several physical layer techniques for mitigating wireless channel impairments are explained. …”

“…Ben explores the intersections of convex optimization, mathematical statistics, and randomized algorithms…”

“…Its application mostly relies on the existence of solutions to mathematical problems that are formulated from economics and engineering. …”

“…Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as well as downloadble, ready to use data sets and templates. …”

“…Presents a timely update on malicious software (malware), a serious concern for all types of network users, from laymen to experienced administrators Systematically introduces malware diffusion processes, providing the relevant mathematical background Discusses malware modeling frameworks and how to apply them to complex wireless networks Provides guidelines and directions for extending the corresponding theories in other application domains, demonstrating such possibility by using application models in information dissemination scenarios…”

“…Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. …”

“…Control and Measurement of Unintentional Electromagnetic Radiation provides a thorough examination of the basic principles underlying the problem, enabling readers to design solutions and applications to combat it effectively. Using a simple mathematical approach limited to algebra and trigonometry, this timely book meets the growing need for a more complete understanding of electromagnetic phenomena. …”

“…Saurav Dutta explains their mathematical underpinnings, shows how to use them properly, and guides you in communicating your findings to other interested and knowledgeable parties, or assessing others' analyses. …”

“…This pioneering work describes the fundamental principles of OTH radar design and operation, and then delves into the mathematical modeling of HF signals received by actual OTH radar systems based on experimental data analysis. …”

“…Carlson reveals why George Lindsay’s techniques are especially valuable right now, demonstrates their power visually, simply, and intuitively – and shows how to make the most of them without strong mathematical expertise. Next, Mastering Market Timing combines the powerful, long-proven technical analysis methods of Richard D. …”

“…It begins with a discussion of basic mathematical and statistical concepts including how much data to use, how to create an index, probabilities, and other tools necessary to an understanding of trading systems and methods. …”

“…You’ll also learn how to: •Work with word vectors to mathematically find words with similar meanings (Chapter 5) •Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7) •Automatically extract keywords from user input and store them in a relational database (Chapter 9) •Deploy a chatbot app to interact with users over the internet (Chapter 11) “Try This” sections in each chapter encourage you to practice what you’ve learned by expanding the book’s example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications. …”

“…It has a variety of classes and features that perform complex mathematical analyses and provide solutions in just a few lines of code, making it easier for you to get up to speed with data science and machine learning. …”