Essential Math for Data Science

Python Data Science Handbook provides a reference to the solutions of commonly seen computational problems for both traditional and data scientists who use Python to enable their research. These scie

Ngorongoro Conservation Area in the heart of Maasailand is one of the world's most important conservation heritage areas. This book centres on a field study of the Ngorongoro Maasai and their herds, a

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for bot

Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science princip

PRACTICAL PROBLEMS IN MATHEMATICS FOR HEALTH SCIENCE CAREERS, 3RD EDITION familiarizes readers in Allied Health programs with essential math processes using real-life examples and straightforward inst

Discover the fundamental principles of biomedical measurement design and performance evaluation with this hands-on guide. Whether you develop measurement instruments or use them in novel ways, this practical text will prepare you to be an effective generator and consumer of biomedical data. Designed for both classroom instruction and self-study, it explains how information is encoded into recorded data and can be extracted and displayed in an accessible manner. Describes and integrates experimental design, performance assessment, classification, and system modelling. Combines mathematical concepts with computational models, providing the tools needed to answer advanced biomedical questions. Includes MATLAB® scripts throughout to help readers model all types of biomedical systems, and contains numerous homework problems, with a solutions manual available online. This is an essential text for advanced undergraduate and graduate students in bioengineering, electrical and computer engineer

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine le

An essential guide to healthcare data problems, sources, and solutionsStrategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing delu

Get to grips with the essential topics in maths today through 100 key ideas, each one explained clearly in 100 words. Math: 100 Ideas in 100 Words offers the essential facts at your fingertips, satisfying your mathematical curiosity and helping you to understand the biggest concepts in math in concise, 100-word summaries. One of the first titles in a cutting-edge new series created in partnership with The Science Museum, this book introduces 100 key areas of math such as geometry, algebra, probability and pure math, and explains each topic in just 100 words. Perfect for getting your head around big ideas clearly and quickly, or refreshing your memory of the fundamentals of math, this book covers the most up-to-date terms and theories and inspires a heightened level of understanding and enjoyment to the core areas of math.

Each book in this unique Math Mastery collection developed by experts covers all the essential skills for children in the first stages of their math journey. Each topic is supported by clear examples and helpful hints to encourage proficiency.Aimed at children aged 8-9, topics include numbers, counting, addition and subtraction, time and shape, measuring, and math practice. This collection is attractively illustrated and led by appealing characters who offer helpful tips to children (and parents) that make learning accessible and interesting. Every child can learn Math with Math Mastery.

Each book in this unique Math Mastery collection developed by experts covers all the essential skills for children in the first stages of their math journey. Each topic is supported by clear examples and helpful hints to encourage proficiency.Aimed at children aged 10-11, topics include numbers, counting, addition and subtraction, time and shape, measuring, and math practice. This collection is attractively illustrated and led by appealing characters who offer helpful tips to children (and parents) that make learning accessible and interesting. Every child can learn Math with Math Mastery.

Each book in this unique Math Mastery collection developed by experts covers all the essential skills for children in the first stages of their math journey. Each topic is supported by clear examples and helpful hints to encourage proficiency.Aimed at children aged 9-10, topics include numbers, counting, addition and subtraction, time and shape, measuring, and math practice. This collection is attractively illustrated and led by appealing characters who offer helpful tips to children (and parents) that make learning accessible and interesting. Every child can learn Math with Math Mastery.

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

Essential Skills for Health Career Success strengthens the basic academic skills?such as reading, writing, science, and math?that students need for a successful career in healthcare. Used for a stand-

A unique introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The textbook gives an overview of the main methods used in scientific research, including hypothesis testing, the measurement of functional relationships, and observational research. It describes important features of experimental design, such as the control of errors, instrument calibration, data analysis, laboratory safety, and the treatment of human subjects. Important concepts in statistics are discussed, focusing on standard error, the meaning of p values, and use of elementary statistical tests. The textbook introduces some of the main ideas in mathematical modeling, including order-of-magnitude analysis, function fitting, Fourier transforms, recursion relations, and difference approximations to differential equations. It also provides guidelines on accessing scientific literature, and preparing scientific paper

An essential collection of essays for librarians looking to provide E-science programs and capabilities to their institutions.

使用基本的線性代數、機率和統計來掌控您的資料「在當前資料科學教育環境的嘈雜聲中，這本書脫穎而出，包含許多清晰、實用的範例，說明理解和建構資料所需的基礎知識。」―Vicki BoykisTumblr高級機器學習工程師讓您掌握在資料科學、機器學習和統計學等方面所需具備的數學知識。作者Thomas Nield將引導您了解微積分、機率、線性代數和統計等領域，以及它們是如何應用在線性迴歸、邏輯迴歸和神經網路等技術。在此過程中，您還將獲得對資料科學的實用見解，以及如何利用這些見解幫助提升您的職業生涯。您將了解如何：‧使用Python程式碼和SymPy、NumPy和scikit-learn等程式庫來探索基本的數學概念，例如微積分、線性代數、統計和機器學習‧用簡單的語言並使用最少的數學符號和行話來理解線性迴歸、邏輯迴歸和神經網路等技術‧對資料集執行描述性統計和假說檢定，以解釋p值和統計顯著性‧操作向量和矩陣並執行矩陣分解‧對微積分、機率、統計和線性代數的知識進行整合和建構，並應用於包括神經網路在內的迴歸模型‧在資料科學職業生涯中進行實際導航，避免常見的陷阱、假設和偏見，同時調整您的技能以在就業市場中脫穎而出

Learn from home or on-the-go and navigate the wilderness of middle school level Math in this hands-on study guide that gives 6th-8th graders all the tools for success!Learning is an adventure inside or outside of the classroom with this highly illustrated, handy field guide that will help kids master the essential skills and lessons of middle school Math. With expert knowledge presented in a bold and fun format that’s easy to read and understand, students will learn, explore, and practice the techniques and tools behind geometry, algebra, and more!The How to Survive Middle School study guides tackle all the essential middle school subjects. Each book trains readers in critical thinking and problem-solving skills to help them become independent learners. The interactive text, full of helpful tips and techniques, and engaging illustrations makes this so much more than just a textbook!Series Overview: This new series will launch in Summer 2022 with five titles including Math, Science, US

Learn and play with Dr. Seuss in this ultimate 3rd Grade workbook, with over 300 curriculum-based activities ranging from English, math, social emotional learning, to science! This multi-subject, curriculum-based workbook is developed by education experts, designed to give little learners in 3rd grade a well-balanced education. With perforated pages for easy on-the-go use, your child will learn essential skills for school and life--while having fun! Each playful exercise features familiar Dr. Seuss characters that reinforce school lessons and ensure success in and out of the classroom.This workbook also comes with reward stickers to mark the end of every activity, plus completion certificates for each subject to help build your child's confidence!Your child will learn about: - The writing process- Reading comprehension- Counting from 1-10- Multiplication and division- Fractions and decimals- Laws of energy, force, and motion- Open-mindednessAlso available: Dr. Seuss Workbook: Preschool

Learn and play with Dr. Seuss in this ultimate 1st Grade workbook, with over 300 curriculum-based activities ranging from English, math, social emotional learning, to science! This multi-subject, curriculum-based workbook is developed by education experts, designed to give little learners in 1st grade a well-balanced education. With perforated pages for easy on-the-go use, your child will learn essential skills for school and life--while having fun! Each playful exercise features familiar Dr. Seuss characters that reinforce school lessons and ensure success in and out of the classroom. This workbook also comes with reward stickers to mark the end of every activity, plus completion certificates for each subject to help build your child's confidence! Your child will learn about: - Vowels and consonants- Sounding out words- Counting to 100- Measurement units- Body parts- Kindness Also available: Dr. Seuss Workbook: Preschool, Dr. Seuss Workbook: Kindergarten, Dr. Seuss Workbook: Grade 2,