Download or read book Machine Learning Automation with TPOT written by Dario Radecic and published by Packt Publishing Ltd. This book was released on 2021-05-07 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Teaching Pyramid Observation Tool TPOT for Preschool Classrooms Manual written by Mary Louise Hemmeter and published by Brookes Publishing Company. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Tpot written by Lise Fox and published by . This book was released on 2013-12-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Battle for Dream Island written by N/A Various and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Human Centered Computing written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2023-06-14 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Download or read book Clinical Applications of Artificial Intelligence in Real World Data written by Folkert W. Asselbergs and published by Springer Nature. This book was released on 2023-11-04 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.

Download or read book Clinical Radiation Oncology written by Leonard L. Gunderson and published by Elsevier Health Sciences. This book was released on 2007-01-01 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Prize winner, Oncology Book Category, British Medical Association 2012 Medical Book Competition Deepen your knowledge with a comprehensive, clinical approach to the scientific foundations of radiation oncology and general oncology as well as state-of-the-art techniques and modalities. Implement a multidisciplinary, "team care" approach to providing intricate treatment plans for patients, often in conjunction with medical oncologists, and surgeons. Broaden your understanding of the basic biology of the disease processes. Examine the therapeutic management of specific disease sites based on single-modality and combined-modality approaches. Quickly and easily find critical information thanks to an easily accessible, full-color design with over 800 color figures that clearly depict treatment techniques. Get broad multimodality perspectives and unique insights from a diverse team of respected editors and contributors -many of whom are new to this edition - affiliated with institutions across North America and internationally Access the fully searchable text anywhere, anytime at www.expertconsult.com, along with references, additional images and tables, video clips and more! Stay current with comprehensive updates throughout that include a new chapter on survivorship issues, and additional video clips on treatments such as prostate and penile cancer brachytherapy. Improve outcomes by providing the most effective treatment for each patient with expanded coverage of new modalities and treatment regimens. Understand and comply with the latest staging guidelines. Drs. Gunderson and Tepper give you quick access to all the clinical tools you need to master the newest techniques and modalities in radiation oncology.

Download or read book Applications of Evolutionary Computation written by Giovanni Squillero and published by Springer. This book was released on 2016-03-22 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Download or read book Computational Science and Its Applications ICCSA 2024 written by Osvaldo Gervasi and published by Springer Nature. This book was released on with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Formal Methods for Embedded Distributed Systems written by Fabrice Kordon and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of any Software (Industrial) Intensive System, e.g. critical embedded software, requires both different notations, and a strong devel- ment process. Different notations are mandatory because different aspects of the Software System have to be tackled. A strong development process is mandatory as well because without a strong organization we cannot warrantee the system will meet its requirements. Unfortunately, much more is needed! The different notations that can be used must all possess at least one property: formality. The development process must also have important properties: a exha- tive coverage of the development phases, and a set of well integrated support tools. In Computer Science it is now widely accepted that only formal notations can guarantee a perfect de?ned meaning. This becomes a more and more important issue since software systems tend to be distributed in large systems (for instance in safe public transportation systems), and in small ones (for instance numerous processors in luxury cars). Distribution increases the complexity of embedded software while safety criteria get harder to be met. On the other hand, during the past decade Software Engineering techniques have been improved a lot, and are now currently used to conduct systematic and rigorous development of large software systems. UML has become the de facto standard notation for documenting Software Engineering projects. UML is supported by many CASE tools that offer graphical means for the UML notation.

Download or read book Data Science Quick Reference Manual Advanced Machine Learning and Deployment written by Mario A. B. Capurso and published by Mario Capurso. This book was released on 2023-09-08 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. Part in a series of texts, it first summarizes the standard CRISP DM working methodology used in this work and in Data Science projects. As this text uses Orange for the application aspects, it describes its installation and widgets. The data modeling phase is considered from the perspective of machine learning by summarizing machine learning types, model types, problem types, and algorithm types. Advanced aspects associated with modeling are described such as loss and optimization functions such as gradient descent, techniques to analyze model performance such as Bootstrapping and Cross Validation. Deployment scenarios and the most common platforms are analyzed, with application examples. Mechanisms are proposed to automate machine learning and to support the interpretability of models and results such as Partial Dependence Plot, Permuted Feature Importance and others. The exercises are described with Orange and Python using the Keras/Tensorflow library. The text is accompanied by supporting material and it is possible to download the examples and the test data.

Download or read book Understanding and Managing Vision Deficits written by Mitchell Scheiman and published by Taylor & Francis. This book was released on 2024-06-01 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Third Edition of Understanding and Managing Vision Deficits is the go-to resource that will enable occupational therapists to develop a comprehensive understanding of vision, appreciate the various effects vision problems can have on the practice of occupational therapy, and to more effectively manage patients with vision disorders. Understanding and Managing Vision Deficits: A Guide for Occupational Therapists, Third Edition is a unique collaboration from occupational therapists, optometrists, and low vision rehabilitation specialists. Dr. Mitchell Scheiman presents a unique Three Component Model of Vision that includes: Visual integrity: Includes visual acuity (clarity), the optics of the eye, and eye health Visual efficiency skills: Includes focusing, eye teaming, and eye movements Visual information processing skills: Includes the ability to analyze, interpret and respond to visual information A major emphasis of the new edition is on management of eye movement, visual information processing, visual field, and low vision problems. Therapy suggestions have been expanded and the use of computer software has been incorporated into the therapy. Some Additional Chapter Topics Include: Visual problems associated with learning disorders Visual problems associated with acquired brain injury Management of vision problems for children with special needs Low vision Features of the Third Edition: Updated figures, research, and references Incorporates current American Occupational Therapy Association Practice Framework Glossary of key terms Appendices that include a vision screening report form and low vision supplies and equipment Understanding and Managing Vision Deficits: A Guide for Occupational Therapists, Third Edition will continue to bring the professions of occupational therapy and optometry together and will guide health care professionals to provide the ultimate in patient care.

Download or read book Genetic Programming Theory and Practice XIV written by Rick Riolo and published by Springer. This book was released on 2018-10-24 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Chapters in this volume include: Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression Hybrid Structural and Behavioral Diversity Methods in GP Multi-Population Competitive Coevolution for Anticipation of Tax Evasion Evolving Artificial General Intelligence for Video Game Controllers A Detailed Analysis of a PushGP Run Linear Genomes for Structured Programs Neutrality, Robustness, and Evolvability in GP Local Search in GP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Relational Structure in Program Synthesis Problems with Analogical Reasoning An Evolutionary Algorithm for Big Data Multi-Class Classification Problems A Generic Framework for Building Dispersion Operators in the Semantic Space Assisting Asset Model Development with Evolutionary Augmentation Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Download or read book Basic Clinical Radiobiology Fourth Edition written by Michael C. Joiner and published by CRC Press. This book was released on 2009-03-27 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise but comprehensive textbook sets out the essentials of the science and clinical application of radiobiology for those seeking accreditation in radiation oncology, clinical radiation physics and radiation technology. Fully revised and updated to keep abreast of current developments in radiation biology and radiation oncology, the fourth edition continues to present in an interesting way the biological basis of radiation therapy, discussing the basic principles and significant developments that underlie the latest attempts to improve the radiotherapeutic management of cancer. New topics for the fourth edition include chapters on the mechanisms of cell death, biological response modifiers, and biological image guided radiotherapy, with major revisions to sections on the molecular basis of the radiation response, tumour hypoxia and the dose-rate effect. A variety of new authors have contributed to this revision, who, together with the new Editorial team, have used their significant international teaching experience to ensure the content remains clear and comprehensive, and as valuable to the trainee as it is to the established radiation oncologist. With the fourth edition we will see the most radical change so far - as Professor Gordon Steel has retired as Editor and has been replaced by Bert van der Kogel, the current current course director for the above-mentioned course, plus Michael Joiner, who is the head of the Radiation Biology Program at the Wayne State University and is the Associate Editor of the International Journal of Radiation Biology.

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Download or read book Genetic Programming written by James McDermott and published by Springer. This book was released on 2017-03-14 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th European Conference on Genetic Programming, EuroGP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo* 2017 events, EvoCOP, EvoMUSART, and EvoApplications. The 14 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 32 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics and applications including program synthesis, genetic improvement, grammatical representations, self-adaptation, multi-objective optimisation, program semantics, search landscapes, mathematical programming, games, operations research, networks, evolvable hardware, and program synthesis benchmarks.

Download or read book Machine Learning and Knowledge Discovery in Databases written by Peggy Cellier and published by Springer Nature. This book was released on 2020-03-27 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. The chapter "Supervised Human-guided Data Exploration" is published open access under a Creative Commons Attribution 4.0 International license (CC BY).