Learn To Model
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I Want To Model
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Author : Nia Burnett
language : en
Publisher:
Release Date : 2018-10-08
I Want To Model written by Nia Burnett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with categories.
If you want to learn how to be a professional model, but are new to the modeling industry, and you are looking for help building your modeling career, then this ebook was created for you in mind. There is always someone who wants to be the next Tyra Banks ,Kendall Jenner, or Ashley Graham but despite what the movies tell us, becoming a model isn't just about having really good looks. It's about having the uniqueness, talent and drive to back up those assets. Let this book guide you and teach you the do's and don't of this industry and how you can avoid pitfalls. In this ebook, we will give you all the necessary information on how to get started in the modeling industry. You will learn how tofigure out your market, how to pose, how to get signed to an agency, to work with casting agents and photographers, and many more! Here is a preview of what you will learn: Finding your market depending on your size and body type, Building your portfolio, Posing skills, How to go on castings and go-see's, Do's & Don'ts of the audition process, How to choose the right modeling agency, Understanding modeling contracts, How to get paid as a model, How to stay Successful, How to brand yourself, And much much more...Download your copy today!
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Learn To Model
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Author : Bob Pardue
language : en
Publisher: Lulu.com
Release Date : 2012-02-23
Learn To Model written by Bob Pardue and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-23 with Self-Help categories.
This book has more than 80 Pages with Six Chapters of Pure Tips, Tricks, Hints and Instructions with Valuable Information. Learning on how to become a model is no Joke, with lack of information everywhere and schools charging anywhere from $1000 or more how is anyone supposed to become and succeed as a model. You can go to Amazon, Barns and Nobles or any Book Store online and you will find books on how to become a model. However, this one is written from a professional modeling photographer's point of view giving you a new perspective. After years of experience and giving advice people have been asking me when am I going to write a book. Here it is, The moment you have been waiting for. Read This Book before paying or hiring any school or photographer to be ahead in the game and you'll be glad you did. Improve your chances and get all the information you need to become a high paying field in modeling and succeed as a high paying model.
Learning Sketchup
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Author : Allan Hanson
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-05-17
Learning Sketchup written by Allan Hanson and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with categories.
This book is a guide for you on how to do 3D modeling with SketchUp. It begins by guiding you on how to get started with SketchUp by setting up the environment. The basic tools provided by SketchUp are then explored. You will learn how to achieve some tasks by use of the tools provided by the SketchUp. The process of controlling movement in SketchUp is explored. The book guides on how you can use SketchUp so as to draw a bowl. You will learn how to do this from the initial steps to the final steps of having your bowl readily drawn. You will also learn how you can use the skills or tools you have used to draw a bowl for drawing a dome or a sphere. Further, you will learn how to draw a pyramid after you have read this book. A polyhedron is also a common shape. This book guides you on how to draw model one in SketchUp. The book guides you on how to model a building from the footprint by use of SketchUp. You are also guided on how to model a vase and a table in SketchUp. Edges are also explored in detail. The following topics are discussed in this book: - Getting Started - Basic Tools - Movement Controls - How to Draw a Bowl, Sphere, or Dome - How to Draw a Pyramid - How to Create a Polyhedron - How to Model a Building from the Footprint - Drawing a Table - Drawing a Vase - Edges in SketchUp
Model Based Machine Learning
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Author : John Winn
language : en
Publisher: CRC Press
Release Date : 2023-11-30
Model Based Machine Learning written by John Winn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Business & Economics categories.
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem. Features: Explores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems. Explains machine learning concepts as they arise in real-world case studies. Shows how to diagnose, understand and address problems with machine learning systems. Full source code available, allowing models and results to be reproduced and explored. Includes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.
The Model Thinker
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Author : Scott E. Page
language : en
Publisher: Hachette UK
Release Date : 2018-11-27
The Model Thinker written by Scott E. Page and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Computers categories.
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
The Unified Learning Model
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Author : Duane F. Shell
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-03
The Unified Learning Model written by Duane F. Shell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-03 with Education categories.
This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustain a “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Journal Of Education And Learning Edulearn
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Author : Lina Handayani
language : en
Publisher: Universitas Ahmad Dahlan
Release Date :
Journal Of Education And Learning Edulearn written by Lina Handayani and has been published by Universitas Ahmad Dahlan this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Journal of Education and Learning (EduLearn) is an interdisciplinary international journal of original research and writing on education. The EduLearn aims to provide a forum for scholarly understanding of the field of education and plays an important role in promoting the process that accumulated knowledge, values, and skills are transmitted from one generation to another; and to make methods and contents of evaluation and research in education available to teachers, administrators and research workers. Breaking the Barriers of a "Silenced Identity": Teacher Trainees' Attitudes towards the Bilingual Presentation in Hebrew and Amharic Baratz Lea 87 Transformative Learning Model for Youth Life Skills Entrepreneurs in Poor Weavers Songket Palembang Ayi Olim, Bertha N 99 Computer Presentation Programs and Teaching Research Methodologies Vahid Motamedi 111 Effects of Cooperative Integrated Reading and Composition Learning Model on the English Learning Skills Hadiwinarto Hadiwinarto, Novianti Novianti 117 Toward a Better Preparation of Student Teachers’ Reading Skill: The SQ3R Strategy with Authentic and Simplified Texts on Reading Literacy and Vocabulary Mastery Robi Soma, Amirul Mukminin, Noprival Noprival 125 An Investigation on Organizational Charlatan Behaviour and Moral Identity as Predictors of Shame: Importance for Education Juneman Abraham, Rahma Putri Noka Berline 135 Effects of an Informal Energy Exhibit on Knowledge and Attitudes of Fourth Grade Students David Goodman 145 The Investigation of Critical Thinking Dispositions of Religious Culture and Ethics Teacher Candidates Abdulkadir Cekin 158 Factors Contributing to Examination Malpractices at Secondary School Level in Kohat Division, Pakistan Qaiser Suleman, Rizwana Gul, Sadia Ambrin, Farrukh Kamran 165
Learning In Information Rich Environments
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Author : Delia Neuman
language : en
Publisher: Springer Nature
Release Date : 2019-12-31
Learning In Information Rich Environments written by Delia Neuman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-31 with Education categories.
The amount and range of information available to today’s students—and indeed to all learners—is unprecedented. If the characteristics of “the information age” demand new conceptions of commerce, national security, and publishing—among other things—it is logical to assume that they carry implications for education as well. Little has been written, however, about how the specific affordances of these technologies—and the kinds of information they allow students to access and create—relate to the central purpose of education: learning. What does “learning” mean in an information-rich environment? What are its characteristics? What kinds of tasks should it involve? What concepts, strategies, attitudes, and skills do educators and students need to master if they are to learn effectively and efficiently in such an environment? How can researchers, theorists, and practitioners foster the well-founded and widespread development of such key elements of the learning process? This second edition continues these discussions and suggests some tentative answers. Drawing primarily from research and theory in three distinct but related fields—learning theory, instructional systems design, and information studies—it presents a way to think about learning that responds directly to the actualities of a world brimming with information. The second edition also includes insights from digital and critical literacies and provides a combination of an updated research-and-theory base and a collection of instructional scenarios for helping teachers and librarians implement each step of the I-LEARN model. The book could be used in courses in teacher preparation, academic-librarian preparation, and school-librarian preparation.