“…Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore Semantic AI and Knowledge Graphs. …”

“…DeJong and Dave detail methods available for solving dynamic structural models and casting solutions in the form of statistical models with empirical implications that may be analyzed either analytically or numerically. …”
Sumario

“…Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering"--…”

“…Analytics--sophisticated quantitative and statistical analysis and predictive modeling supported by data-savvy leaders and powerful information technology. …”

“…Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering"--…”

“…This book draws upon economic theory, statistical evidence, and case studies to frame an explanation. …”
Sumario

“…The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. …”

“…The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. …”

“…Exposure to working with statistical methods and language processing would be helpful. …”

“…You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. …”

“…Previous experience with statistics or machine learning is not necessary. Course Requirements Some experience with any of the following are an asset, but none are essential: Object-oriented programming, specifically Python Simple shell commands; e.g., in Bash Machine learning or statistics Lesson Descriptions Lesson 1: Introduction to Deep Learning and Artifi..…”

“…Previous experience with statistics or machine learning is not necessary. Course Requirements Some experience with any of the following are an asset, but none are essential: Object-oriented programming, specifically Python Simple shell commands, e.g., in Bash Machine learning or statistics First-year college calculus About the Instructor Jon Krohn is the chief data scientist at untapt, a machine learning startup in New York. …”

“…It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. …”

“…Fundamental knowledge of Python programming and statistical concepts is all you need to ..…”

“…Ruggiero reveals how "incorporating elements of statistical analysis, spectral analysis, neural networks, genetic algorithms, fuzzy logic, and other high-tech concepts into a traditional technical trading system can greatly improve the performance of standard trading systems." …”

“…You will get the hang of linear algebra along with probability and statistics. Our goal for the linear algebra part is to introduce all necessary concepts and intuition for an in-depth understanding of an often-utilized technique for data fitting called least squares. …”

“…We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. …”