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13281Publicado 2022“…While in this edition new topics are introduced and discussions of certain topics covered in previous editions are expanded, emphasis continues being placed on elucidating the physical nature and the mechanics of ground vehicle-environment interactions as in previous editions. …”
Libro electrónico -
13282Publicado 2019“…This book will be of interest to anyone concerned about illicit financial flows, but especially to journalists, journalism students and journalism instructors seeking an understanding of what it takes to reveal the mechanisms behind illicit, global flows of wealth." …”
Libro electrónico -
13283Publicado 2023“…Cloud Monitoring, Operations and Optimization: Covers the first half of the fourth exam question domain. Logging mechanisms, the basics of monitoring, and how to use passive and active strategies are covered. …”
Video -
13284Publicado 2021“…In this lesson, we discuss the control mechanisms available to administrators for optimizing network performance. …”
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13285Publicado 2016“…The inadequacy of the national climate change regulatory framework in relation to indigenous peoples’ lands: A human rights framework as a regional response Introduction Legal basis for the application of a regional human rights framework Assessing national regulatory frameworks in the context of a regional human rights framework 3.1 Incompatibility of national climate regulatory framework with obligations of states 3.2 Threat to a range of rights The regional climate change regulatory framework and potential for human rights 4.1 Committee of African Heads of State and Government on Climate Change 4.2 African Ministerial Conference on the Environment 4.3 Climate for Development in Africa (ClimDev-Africa) Programme 4.4 African Union Commission 4.5 New Partnership for African Development 4.6 Pan-African Parliament 4.7 Peace and Security Council Potentials in regional human rights mechanisms with focus on the Commission 5.1 Promotional functions 5.2 Protective mandate 5.3 Interpretive functions 5.4 Assembly-entrusted tasks Conclusion 7. …”
Libro electrónico -
13286
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13287Publicado 2022Tabla de Contenidos: “…-- VALIDACIÓN DE LA ESCALA DE MUSCULARIDAD FEMENINA EN UNA MUESTRA DE JÓVENES ESPAÑOLAS -- PREDICTIVE MODEL OF THE RISK OF EATING DISORDERS IN UNIVERSITY STUDENTS IN QUITO, GUAYAQUIL, CUENCA -- MEDIATING MECHANISMS OF PERFECTIONISM: CLINICAL COMORBIDITY OF OBSESSIVE COMPULSIVE DISORDER AND EATING DISORDERS -- DISFUNCIONES SEXUALES -- CONTEXTO NORMATIVO Y MOTIVOS SEXUALES: ¿INFLUYEN EN CÓMO SE PERCIBE A HOMBRES Y MUJERES? …”
Biblioteca Universitat Ramon Llull (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada, Biblioteca de la Universidad Pontificia de Salamanca)Libro electrónico -
13288Publicado 2007“…Frequently the landscape does not feature a single, unequivocal and legible system of rules, but a stratification that may be incomplete, fragmentary or conflicting: the project may then attempt to knit these up, and this mechanism may trigger its added value. There are also cases in which the rule is too weak to support a revival, or is "banal", in short can be considered worth "sacrificing" to the introduction of a new system of values. …”
Libro electrónico -
13289Publicado 2022“…Domain 1: Data Engineering 1.0 course intro 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer 1.7 domain one intro 1.8 data storage 1.9 determine storage medium 1.10 using s3 demo 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo Domain 2: Exploratory Data Analysis 2.0 domain intro Sanitize and prepare data for modeling 2.1 cleanup data 2.2 scaling data 2.3 labeling data 2.4 mechanical turk labeling Perform feature engineering 2.5 identify extract features 2.6 feature engineering concepts Analyze and visualize data for machine learning 2.7 graphing data 2.9 clustering Conclusion 2.10 conclusion Domain 3: Modeling 3.0 domain intro Frame business problems as machine learning problems 3.1 when to use ml 3.2 supervised vs unsupervized 3.3 selection right ml solution Select the appropriate model(s) for a given machine learning problem 3.4 select models 3.5 sagemaker canvas demo Train machine learning models 3.6 train test split 3.7 optimization 3.8 compute choice Perform hyperparameter optimization 3.14 neural network architecture Evaluate machine learning models 3.18 overfitting vs underfitting 3.19 selecting metrics 3.22 compare models experiment tracking Conclusion 3.23 Conclusion Domain 4: Machine Learning Implementation and Operations 4.0 course intro Build machine learning solutions for performance, availability, scalability, resiliency, and fault 4.1 logging monitoring 4.2 multiple regions 4.3 reproducible workflow 4.4 aws flavored devops Recommend and implement the appropriate machine learning services and features for a given 4.5 provisioning ec2 4.5 compute choices 4.6 provisioning ebs 4.7 aws ai ml services Apply basic AWS security practices to machine learning solutions. 4.9 plp aws lambda 4.10 integrated security Deploy and operationalize machine learning solutions 4.13 sagemaker workflow 4.14 doing predictions with sagemaker canvas 4.16 retrain models Conclusion 5.0 course conclusion Topics Covered Include: Domain 1: Data Engineering Domain 2: Exploratory Data Analysis Domain 3: Modeling Domain 4: Machine Learning Implementation and Operations Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ 900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! …”
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13290Publicado 2010Biblioteca Universitat Ramon Llull (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada, Biblioteca de la Universidad Pontificia de Salamanca)Libro electrónico
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13291
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13292Publicado 2004“…In a sense these psychiatric labels symbolically represent the destructive impact of mechanized weapons on body and soul, the loss of narrative structures and the traumatic after-effects of modern warfare. …”
Libro electrónico -
13293por Scodeller, Pablo David“…It was found that during the electroreduction of oxygen, small amounts of hydrogen peroxide are produced by the enzyme (it was also found that this H2O2 also inhibits it), thus showing that Solomon's mechanism which predicts the reduction of O2 by 4 electrons without production of H2O2 is incomplete, since it does not take into account the desorption path of H2O2 observed in this study. …”
Publicado 2011
Universidad Loyola - Universidad Loyola Granada (Otras Fuentes: Biblioteca de la Universidad Pontificia de Salamanca)Enlace del recurso
Tesis -
13294por Calcaterra, Luis Alberto“…Despite not being a good discoverer of resources, S. invicta won 78 por ciento of the interactions mainly with P. obscurithorax, and ecologically dominated its competitors using four mechanisms: (1) large numbers of individuals, (2) well developed recruitment system, (3) aggressive behavior, and (4) not-interrupted-foraging activity. …”
Publicado 2010
Universidad Loyola - Universidad Loyola Granada (Otras Fuentes: Biblioteca de la Universidad Pontificia de Salamanca)Enlace del recurso
Tesis -
13295Publicado 2020“…XII.G.60-61, ab. 1598-1603), containing an unpublished project for a mechanical and hydraulic engineering treatise inspired by Leonardo’s studies. …”
Libro electrónico -
13296por Sigrist, Mirna“…Chapter 3 presents the optimization of the FI-HG-QT-AAS methodology for the selective determination of As(III) by pH discrimination in non-preserved water samples (mostly free of mineral acids). The mechanisms of mass transfer of the analyte from the chemical vapor generator to the AAS and those of atoms production in the heated quartz tube are evaluated and discussed. …”
Publicado 2009
Universidad Loyola - Universidad Loyola Granada (Otras Fuentes: Biblioteca de la Universidad Pontificia de Salamanca)Enlace del recurso
Tesis -
13297