“…This book is aimed at senior undergraduate students, postgraduate students, professionals, practitioners, and researchers in applied mathematics, computational science, operational research, management science and finance, who are interested in the formulation and computation of queueing networks, Markov chain models and related topics. …”

“…And you don't have to be a mathematics expert or a senior data scientist to grasp what's going on inside a deep learning system. …”

“…You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java…”

“…By the end of the book, you will be familiar with the latest advanced techniques implemented with the Vulkan API, which can be used on a wide range of platforms.What you will learn[*] Work with Swapchain to present images on screen[*] Create, submit, and synchronize operations processed by the hardware[*] Create buffers and images, manage their memory, and upload data to them from CPU[*] Explore descriptor sets and set up an interface between application and shaders[*] Organize drawing operations into a set of render passes and subpasses[*] Prepare graphics pipelines to draw 3D scenes and compute pipelines to perform mathematical calculations[*] Implement geometry projection and tessellation, texturing, lighting, and post-processing techniques[*] Write shaders in GLSL and convert them into SPIR-V assemblies[*] Find out about and implement a collection of popular, advanced rendering techniques found in games and benchmarksWho this book is forThis book is ideal for developers who know C/C++ languages, have some basic familiarity with graphics programming, and now want to take advantage of the new Vulkan API in the process of building next generation computer graphics. …”

“…No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required. …”

“…No prior knowledge of chatbots, ML, DL, Amazon Lex, data analysis, or mathematics is required. Prior basic- to intermediate-level Python knowledge is required. …”

“…What Yoy Will Learn Explore AI-integrated recommender systems basics Look at the basic taxonomy of recommender systems Study the impact of overfitting, underfitting, bias, and variance Build content-based recommender systems with ML and Python Build item-based recommender systems using ML techniques and Python Learn to model KNN-based recommender engine for applications Audience No prior knowledge of recommender systems, machine learning, data analysis, or mathematics is needed. Only the working knowledge of basics of Python is required. …”

“…He holds a Ph.D. and First-Class Honors degree in Applied Mathematics from Scotland’s St. Andrew’s University. …”

“…Lau is a senior lecturer in computing in the School of Mathematics at Kingston University. He has much experience in teaching program..…”

“…Students and professionals with a science, technology, engineering, or mathematics (STEM) background can certainly benefit from this book…”

“…What you will learn Understand the TikZ language and how to use its libraries and packages Draw geometric shapes with text and add arrows, labels, and decorations Apply transformations and use transparency, shading, fading, and filling features Define styles and program with loops to streamline your code Build trees, graphs, and mind maps and draw easy curves with smooth transitions Produce block diagrams and flow charts to visualize process steps Generate line charts and bar charts to showcase your data Plot data sets and mathematical functions in two and three dimensions Who this book is for This book is for LaTeX users, including students and academic authors, seeking to incorporate figures such as diagrams, plots, and graphics to their theses, articles, and books. …”

“…Perry has built upon the works of mathematicians such as Bertrand Meyer, Leslie Lamport, and Donald Knuth to develop a mathematical system for software development. He has captured this system in a set of open source projects. …”

“…Basic programming knowledge is assumed -- but the book will introduce you to Julia's important features. Familiarity with mathematical and statistical concepts will help you make the most of some of the chapters…”

“…The book, however, is not recommended for readers aiming to get an in-depth theoretical understanding of the mathematics behind NLP. Beginner-level knowledge of Python programming is required to get the most out of this book…”

“…Erez is also an experienced teacher, teaching mathematics, computer science, and English literature from middle school to university level courses. …”

“…About The Author Arkadiusz Włodarczyk: Arkadiusz Włodarczyk, a distinguished educator and programming expert, is renowned for his highly acclaimed video courses on programming, web development, and mathematics in Poland. With a commitment to simplifying complex concepts, his courses are invaluable assets for those embarking on programming and web development journeys. …”

“…About The Author Yiqiao Yin: Yiqiao Yin was a Ph.D. student in statistics at Columbia University from September of 2020 to December 2021. He has a B.A. in mathematics and an M.S. in finance from the University of Rochester. …”

“…About The Author Yiqiao Yin: Yiqiao Yin was a Ph.D. student in statistics at Columbia University from September of 2020 to December 2021. He has a B.A. in mathematics and an M.S. in finance from the University of Rochester. …”

“…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. …”

“…Millad Dagdoni, Norwegian Labour and Welfare Administration A nicely written guided introduction, especially for those who want to code but feel shaky in their mathematics. Erik D. Sapper, California Polytechnic State University The most approachable introduction to machine learning I've had the pleasure to read in recent years. …”