“…Get command of your organizational Big Data using the power of data science and analytics About This Book A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Who This Book Is For The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. …”

“…R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. …”

“…What’s really cool about sets is that the Python operations on sets precisely match the mathematical concepts. This includes unions, intersections, subsets, and so on. …”

“…It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book…”

“…The book assumes high school mathematics and b..…”

“…What you will learn Build cross-platform applications for Windows, macOS, Linux, iOS, and Android Explore application development with C# 8.0 and .NET Core 3.0 Explore ASP.NET Core 3.0 and create professional web applications Learn object-oriented programming and C# multitasking Query and manipulate data using LINQ Use Entity Framework Core and work with relational databases Discover Windows app development using the Universal Windows Platform and XAML Build mobile applications for iOS and Android using Xamarin.Forms Who this book is for Readers with some prior programming experience or with a science, technology, engineering, or mathematics (STEM) background, who want to gain a solid foundation with C# 8.0 and .NET Core 3.0.…”

“…What you will learn Understand how NLP powers modern applications Explore key NLP techniques to build your natural language vocabulary Transform text data into mathematical data structures and learn how to improve text mining models Discover how various neural network architectures work with natural language data Get the hang of building sophisticated text processing models using machine learning and deep learning Check out state-of-the-art architectures that have revolutionized research in the NLP domain Who this book is for This NLP Python book is for anyone looking to learn NLP's theoretical and practical aspects alike. …”

“…Next, you will learn basic quantum physics along with the mathematical tools you need to analyze quantum systems. …”

“…Details in XGBoost are explored with a focus on speed enhancements and deriving parameters mathematically. With the help of detailed case studies, you'll practice building and fine-tuning XGBoost classifiers and regressors using scikit-learn and the original Python API. …”

“…Throughout, each concept is explained with realistic examples, and demonstrated with accessible math. No previous mathematical understanding is required beyond basic algebra, probability, and statistics: wherever more advanced math is required, the authors explain it fully. …”

“…What you will learn Brush up your vector mathematics skills Access and create namespaces in Niagara Add a Niagara system to a Blueprint actor Create a particle system with dynamic inputs Publish a custom module for your team members to use Create Niagara Scratch modules Enable your particle emitters to communicate using event handlers Control Niagara systems using Blueprint public variables Who this book is for This book is for visual effects artists transitioning to real-time virtual production workflow as well as beginners looking to learn Niagara for games and other real-time applications. …”

“…Techniques related to obtaining a health history and basic physical assessment using a body systems approach are described and include sample skills checklists and instructor demonstration videos. Mathematical calculations and conversions related to clinical skills are also included. …”

“…No prior algorithmic or advanced mathematical knowledge is required, but familiarity with basic programming concepts is recommended to get the most out of the course. …”

“…However, having a basic understanding of mathematics and readiness to learn are helpful attributes for successfully completing the course. …”

“…You'll get hands-on experience with Visual Studio Code and explore sequence control structures, manipulating numbers, and crafting complex mathematical expressions. In the final stages, the course covers advanced topics such as data structures, subprograms, and object-oriented programming. …”

“…The course emphasizes practical application, guiding you through exercises involving complex mathematical expressions, string manipulations, decision structures, and loop control structures. …”

“…Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach--even if you have no background in mathematics or data science. This book shows you how to get started. about the book Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. …”

“…A list of names linked to the Circle reads like a Who's Who of 20th century philosophy, mathematics and science. In addition to Schlick, it includes Rudolf Carnap, Otto Neurath, Phillip Frank, Hans Hahn, Olga Hahn-Neurath, Karl Menger, Friedrich Waismann, Herbert Feigl, Kurt Gödel, Carl Hempel, W.V.O. …”

“…Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. …”

“…Anderson, Columbia University, Teachers College – Chair, Mathematics, Science and Technology…”