Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT models to ensure optimum performance on previously unseen data.Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learnGet to grips with building automated machine learning modelsBuild classification and regression models with impressive accuracy in a short timeDevelop neural network classifiers with AutoML techniquesCompare AutoML models with traditional, manually developed models on the same datasetsCreate robust, production-ready modelsEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-scoreGet hands-on with deployment using Flask-RESTful on localhostWho this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.

Developed by highly respected creators of the evidence-based Pyramid Model for Promoting Social Emotional Competence in Infants and Young Children, the TPOT(TM) tool measures how well teachers are implementing the model in classrooms enrolling children

This book features high-quality research papers presented at the First Doctoral Symposium on Human Centered Computing (HUMAN 2023), jointly organized by Computer Society of India, Kolkata Chapter and Techno India University, West Bengal, on February 25, 2023. This book discusses the topics of modern human centered computing and its applications. The book showcases the fusion of human sciences (social and cognitive) with computer science (human–computer interaction, signal processing, machine learning, and ubiquitous computing).

Available in packs of 5, these are the 24-page forms needed to conduct the Teaching Pyramid Observation Tool (TPOT(tm)) for Preschool Classrooms observational assessment. If your program is among the thousands using the evidence-based Pyramid Model for Promoting Social Emotional Competence in Infants and Young Children, this is the one tool you need to support teachers to effectively use the practices. Developed by highly respected creators of the Pyramid Model for classrooms enrolling children 2-5 years of age, the TPOT is an in-depth tool that provides information on how well teachers are implementing practices related to universal, targeted, and individualized supports. This is the one tool you need to make sure teachers are effectively putting the evidence-based Pyramid Model for Promoting Social Emotional Competence in Infants and Young Children into practice. Learn more about TPOT See which domain of school readiness in the Head Start Child Development and Early Learning Framework this tool addresses. View our recorded webinar: Using the Teaching Pyramid Observation Tool (TPOT(tm)) for Preschool Classrooms presented by Lise Fox, Ph.D., Mary Louise Hemmeter, Ph.D., Patricia Snyder, Ph.D.

The thoroughly updated fifth edition of this landmark work has been extensively revised to better represent the rapidly changing field of radiation oncology and to provide an understanding of the many aspects of radiation oncology. This edition places greater emphasis on use of radiation treatment in palliative and supportive care as well as therapy.