There's a popular misconception that breaking into the modeling business requires expensive head shots and other costly investments. Judy Goss, a former Ford model and professional with twenty years in the business, has set out to dispel that myth once and for all, and tell you how you can actually launch your career for $20 or less. Judy breaks the process down into four simple steps: Preparation, Pictures, Promotion, and Presentation. She gives countless suggestions and tells all sorts of industry secrets, such as how to: * Determine what type of model you are * Take your own pictures at home in the right poses and clothes * Prepare what to say and do at casting calls * Avoid costly scams * And much more. Judy's expert advice will guide aspiring models of any age through the process of finding representation with a reputable agency or manager, and it provides a valuable resource to fall back on even after models start working. This comprehensive, step-by-step guide is the only book you'll need to launch the career of your dreams.
Models make the work of designers come to life. They get paid to wear cutting-edge clothes and jet-set around the globe. But there's more to modeling than looking amazing. Make sure this fabulous job is on your radar! Inside you'll find these features: Top Five: Meet the most successful models in the business. Big Debate: Dig into the industry argument of whether size-zero models should rule the catwalk. Zone In: Learn how pros work their looks and what it takes to make it as a model. Are you On the Radar?
Be a more effective teacher by using this simple, yet transformative, technique for teaching essential academic and social skills, routines, and behaviors. Through Interactive Modeling, your students actively observe, model, and practice skills that can lead to higher, lasting achievements and kinder classrooms. You'll save time; they'll gain mastery!, You can use Interactive Modeling to help your students achieve success in: math, reading, writing, social studies, science, working in groups, making smooth transitions, using supplies carefully, test-taking, and more! Book jacket.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Enables you to: get started; find agents and photographers; practice in front of a still camera; create powerful head shots and composites; market yourself and get work on your own; manage and understand the business of modelling; and impress agents, photographers and art directors and get them to cast you again and again.
Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent-based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location-specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost-effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease-related projects. The book is also ideal for graduate-level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology.
Have you ever dreamed about becoming an actor or commercial model but had no idea how to get started? Or, how to take your current career to the next level? Do you live in a small market and think there is no work available, can't find an agent or afraid of being scammed? Actors and commercial models of all ages and sizes, beautiful and real looking, are cast for magazine, newspaper and billboard ads and in TV commercials, films and TV shows. From getting discovered to landing your dream audition and role, How to Become a Successful Actor and Model is the ultimate step-by-step, no luck required guide to becoming a successful actor and model. For over 34 years, Aaron Marcus has worked as a full-time actor and commercial model, booking over 1,250 jobs. Some of his many bookings includes: Gotham, House of Cards, Heart of Life, Irresistible, Thespian, Philomena, Halt and Catch Fire, Project Almanac, The Wire and Do No Harm. He has taken all of the strategies, techniques and lessons he has learned over his career and boiled them down into a simple, sensible, engaging, and fun approach to how actors and models can book the job! This book explains how he did it, and how you can too. Aaron teaches you, in a practical, honest, and economical way, his secrets and strategies for getting started and succeeding no matter where you live. Aaron has written this book to not only help those wanting to break into the industry, but also to help those actors and models who want to take their career to the next level. The chapters in How to Become a Successful Actor and Model are: 1. What is Commercial Modeling? 2. Preparation for Commercial Modeling 3. Head Shots 4. Resumes 5. Composite Sheets 6. Makeup 7. Finding a Good Agent 8. How to Get Work 9. How to Work as a Professional Model 10. Auditioning (Including – How to Shoot Home Auditions) 11. The Realities of Being a Full-time Actor and Model 12. Now What Do You Do? 13. Resources **Bonus** Free list of over 500 agents (agents from every state in the U.S.) and in other countries as well
Sociologist Ashley Mears takes us behind the brightly lit runways and glossy advertisements of the fashion industry in this insider’s study of the world of modeling. Mears, who worked as a model in New York and London, draws on observations as well as extensive interviews with male and female models, agents, clients, photographers, stylists, and others, to explore the economics and politics—and the arbitrariness— behind the business of glamour. Exploring a largely hidden arena of cultural production, she shows how the right "look" is discovered, developed, and packaged to become a prized commodity. She examines how models sell themselves, how agents promote them, and how clients decide to hire them. An original contribution to the sociology of work in the new cultural economy, Pricing Beauty offers rich, accessible analysis of the invisible ways in which gender, race, and class shape worth in the marketplace.
Every year, hundreds of the most beautiful people in the world come to New York to become models. At age fourteen, Cheryl Diamond was one of them. Living on her own in a run-down apartment, Cheryl spent her days on go-sees, runways, and shoots, surviving hand-to-mouth, while taking in everything she could about the tough and sleazy modeling industry. She watched other girls make mistakes, and swore she wouldn't be a victim...until a career-altering event changed her life and nearly ruined her shot at her dream. This is the riveting, true account of Cheryl's triumphant rise, disastrous fall, and phoenix-like comeback in one of the hottest and most demanding industries in the world.
Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
