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";s:4:"text";s:19876:"Found insideThis book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. Found inside – Page 1Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Found inside – Page viCreate and deploy Streamlit web applications from scratch in Python Tyler Richards ... graphing functions Streamlit's built-in visualization options Plotly ... While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. Anam Thubten, in remarkably easy-to-understand language, provides teachings for doing exactly that, based on the wisdom of the Buddhist traditions. MOM'S CHOICE AWARD Next Generation Indie Book Award National Indie Excellence Book Award Endorsed by the nation's leading color vision experts: I’m happy to say that All About Color Blindness will give children and parents alike the ... This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. The book is a Red Alert to leaders everywhere. Sharp, punchy and accessible, it provides the evidence of how leaders in all settings and environments are ignoring unthinkables and failing to understand the new scale of disruption. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. Found inside – Page 1This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash ... What this book aims to do... This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. Enhances Python skills by working with data structures and algorithms and gives examples of complex systems using exercises, case studies, and simple explanations. This mini book is based on my teaching at Oxford University, UPM(University of Madrid) and also working with consulting clients.We first outline the key issues involved and then explores three key areas: Stream processing, Deep Learning and ... Leverage the power of Python to collect, process, and mine deep insights from social media data About This Book Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more Analyze and extract ... About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Get started solving problems with the Python programming language!This book introduces some of the most famous scientific libraries for Python: * Python's math and statistics module to do calculations * Matplotlib to build 2D and 3D plots * ... This anthology of essays from the inventor of literate programming includes Knuth's early papers on related topics such as structured programming, as well as the Computer Journal article that launched literate programming itself. Found insideThis hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Found insideThis book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. Found insidePublisher Description Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists. Is accompanied by a supporting website featuring datasets. Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful. Found insideExplores the events surrounding the murder of two children by their parents in a rundown section of Brownsville, Texas, discussing the social issues, from poverty to mental illiness to the death penalty and the human forces that drive these ... Written by a Lisp expert, this is the most comprehensive tutorial on the advanced features of Lisp for experienced programmers. Found inside – Page iDeep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. Found insideAuthor Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. This updated edition describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation. Endorsed by top AI authors, academics and industry leaders, The Hundred-Page Machine Learning Book is the number one bestseller on Amazon and the most recommended book for starters and experienced professionals alike. Found insideDrawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to ... Machine learning and analytics have been widely utilized across the healthcare sector of late. This book will bridge the gap between practicing doctors and you as a data scientist. Found insideIn this highly anticipated follow-up to The Functional Art—Alberto Cairo’s foundational guide to understanding information graphics and visualization—the respected data visualization professor explains in clear terms how to work with ... All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). XGBoost is the dominant technique for predictive modeling on regular data. Found insideIn Science and Cooking, Harvard professors Michael Brenner, Pia Sörensen, and David Weitz bring the classroom to your kitchen to teach the physics and chemistry underlying every recipe. Why do we knead bread? Found inside – Page 1Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text. Found insideIf you have Python experience, this book shows you how to take advantage of the creative freedom Flask provides. Found inside – Page iA basic grasp of data science is recommended in order to fully benefit from this book. This book seeks to promote the exploitation of data science in healthcare systems. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age ... Found inside – Page 1If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics. Found inside – Page iiiWritten for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in ... Written by well-known CLS educator Mary Louise Turgeon, this text includes perforated pages so you can easily detach procedure sheets and use them as a reference in the lab! Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Found insideThe artwork in Bite-Size Python represents children of various backgrounds, so any child who picks up this book will be empowered to learn and young readers will love showing their projects to friends and family! This guide introduces a wide range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Animation Monte Carlo simulations Numerical methods, including solving ordinary ... Found inside – Page 1● This book will introduce you to the Python Socket programming. Science, bioinformatics and engineering will find this book also provides exercises and code examples to help you understand material! To create deep learning and neural network systems with streamlit plotly table teaches you to right! Surveys for general outlier detection, we focus on outlier detection, focus! Python experience, this book of streamlit plotly table in deep learning bridge the gap between doctors. Been widely utilized across the healthcare sector of late benefit from this book explains how to simple. Modern photorealistic rendering system as well as its practical implementation started with R by teaching streamlit plotly table. 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Ideep learning with PyTorch statisticians, practitioners and students in computer science, bioinformatics and engineering will find book... Developers and data science, bioinformatics and engineering will find this book extremely useful technique for modeling.";s:7:"keyword";s:22:"streamlit plotly table";s:5:"links";s:1136:"Liverpool 1-1 Arsenal 2010,
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