Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
| Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Pawlowsky-GlahnVera |
| Soggetto topico |
Estadística matemàtica
Investigació quantitativa Mathematical statistics Quantitative research |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71175-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology. |
| Record Nr. | UNISA-996466397003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Machine Learning and Big Data Analytics I : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 / / edited by Ashokkumar Patel, Nishtha Kesswani, Madhusudhan Mishra, Preetisudha Meher
| Advances in Machine Learning and Big Data Analytics I : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 / / edited by Ashokkumar Patel, Nishtha Kesswani, Madhusudhan Mishra, Preetisudha Meher |
| Autore | Patel Ashokkumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (870 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
KesswaniNishtha
MishraMadhusudhan MeherPreetisudha |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Mathematical statistics
Machine learning Quantitative research Artificial intelligence - Data processing Mathematical Statistics Machine Learning Data Analysis and Big Data Data Science Estadística matemàtica Aprenentatge automàtic Investigació quantitativa Intel·ligència artificial Processament de dades Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031513381
303151338X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Similarity Analysis of Protein Sequences with a New 3-D Graphical Representation Technique -- Enhanced Security and Robustness of Data Using Steganography -- A TTIG Based Deep Convolution Combined GAN and CLS for Text to Image Synthesis -- Smart Agricultural Greenhouse System: A Context-aware Application -- Improving Performance of Plant Disease Detection using YOLOv7 and YOLOv8 -- Detection of Congenital Heart Disease from Heart Sounds using 2DCNN-BiLSTM with Attention Mechanism -- Automated Reviewer Assignment Process using Machine Learning Technique -- A Method for Detecting Retinal Micro aneurysms in the Fundus Using CR-SF And RG-TF -- Pilot Super Resolution Network (PSRN) based Mango fruit Classification -- Performance Evaluation of Quality of Service (QoS) in Modified Ad hoc On-Demand Distance Vector (MAODV) Routing Protocol in Manets -- Minimize the Energy Consumption to Increase the Network Lifetime for Green IoT Environment -- Unveiling Hate Speech: Identifying Toxic Comments Targeting Women in Online Social Media Posts -- Identification of retinal fundus in diabetic patients using deep learning algorithms -- Smart Health Prediction Using Random Forest -- Vulnerability Assessment and Penetration Testing Using Parrot Operating System -- Assessing NSAID Threat Degree of Unfavorable Medical Reactions Using Machine Learning -- Searchable Encryption for Privacy Preserving with Fine Grained Access Control -- Classification for Disease Gene Association -- Machine Learning-Based Air Pollution Monitoring And Forecasting -- A Novel parasitic mushroom-like structure with high gain microstrip patch antenna for broadband applications -- Facial Emotion Recognition using Artificial Intelligence -- A Hybrid Machine Intelligence Demographic Feature Selection Approach to Improve Recommendation System in Social Domain -- An Exploratory Review of Machine Learning and Deep Learning Applications in Healthcare Management -- Bone Fracture Prediction using Machine Learning and Deep Learning Techniques -- Plant Disease Detection Using Modern Deep Learning Approach: YOLOv7 -- Analysis of the life insurance business performance based on COVID by using machine learning algorithms -- An Ensemble Model of Skin Disease Detection Using CNN and Transfer Learning -- Session Based News Recommendation System -- A Fusion-based Approach for Generating Image Captions -- Comparison of Machine Learning Algorithms for Detection of Stuttering in Speech -- The Evolutionary Impact of Pattern Recognition in Research Applications – A Wide Spectrum Survey -- Prediction of GATE Examination Clearance for Fresh Graduate Candidates: An Advanced Machine Learning Approach -- Foreseeing Worker Attrition Using Machine Learning -- Mouse Controlling Using Eyeball Action -- Power Quality Improvement by Using Shunt Hybrid Active Power Filter -- Integration of Renewable Energy Systems into utility grid: A review on Power Quality Issues, Mitigating devices and Control Algorithms -- Traffic Control System for Congestion Control and Ambulance Clearance -- QR Based Authentication for Login and Payment -- Smart Irrigation Watering System Using IoT -- IoT Based Transmission Line Multiple Fault Detection and Indication to Electricity Board -- Design Of Off Board Electric Vehicle Charger Using PV Array Through Matlab-Simulink -- Human stress detection in sleep mode compared with non-sleep mode using machine learning algorithms -- Medical Diagnosis Prediction using Deep Learning -- Detecting Hard Landing of Flights: E-Pilots -- Detection of Glaucoma Using MobileNet, XAI and IML -- Attainment Expedients of Markovian Heterogeneous Water Heaters in Queueing Models by Matrix Geometry Method -- Identification Of Medicinal Plants Using Inception V3 Model -- Smart Gardening Using Internet of Things -- Predictive Analytics of Blood Donor Risk Assessment Using Machine Learning Methods -- Risk Analysis of Covid-19 Patients Mortality Rate in Emergency Ward -- Machine Learning Classification Analysis on Leaf Disease Data -- Conversion of Type-2 Intuitionistic Fuzzy Sets into Interval-valued Intuitionistic Fuzzy Sets and its implementation in Decision Making -- A Framework for Secure Database and Similarity Comparison in Android -- A Comprehensive review and a Conceptual framework for predicting the position of the mobile sinks in Wireless sensor networks -- Brain Computer Interface for Multiple Applications Control -- Predicting Student Academic Performance using Machine Learning: A Comparison of Classification Algorithms -- A Novel Approach in Machine Learning for Solar Energy Prediction System -- Real-time Tomato Leaf Disease Detection and Diagnosis using Deep Learning-based Computer Vision Techniques -- Index. |
| Record Nr. | UNINA-9910983069003321 |
Patel Ashokkumar
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Quantitative Ethnography : 6th International Conference, ICQE 2024, Philadelphia, PA, USA, November 3-7, 2024, Proceedings, Part II / / edited by Yoon Jeon Kim, Zachari Swiecki
| Advances in Quantitative Ethnography : 6th International Conference, ICQE 2024, Philadelphia, PA, USA, November 3-7, 2024, Proceedings, Part II / / edited by Yoon Jeon Kim, Zachari Swiecki |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XVI, 304 p. 82 illus., 75 illus. in color.) |
| Disciplina | 004.6 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Application software Education - Data processing Computer Communication Networks Computer and Information Systems Applications Computers and Education Etnografia Investigació quantitativa |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031763328
3031763327 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Teaching and Learning. -- Different Times, Different Measures: Monitoring Shifting Self-Regulation Strategies for Language Learning in Higher Education Across Face-to-Face, Online and Hybrid Instruction. -- Investigating Learner Interest and Observation Patterns in a Minecraft Virtual Astronomy Environment. -- Quantitative Ethnography Reveals Behavioral Elements Associated with Problem-Solving in Wild Chimpanzee Tool-Use. -- “My Inquiry Question Is …”: How Novice Social Studies Educators in Mixed Video Groups Explore Their Teacher Role Identities. -- Enhancing Student Interest and Motivation through Cultural Integration in an Online Global Science, Technology, Engineering and Mathematics Community. -- Navigating Usability Challenges in Collaborative Learning with Augmented Reality. -- Understanding the Impact of Observer Effects on Student Affect. -- Ordered Network Analysis of Prompted Student Discourse in a Collaborative Learning Context. -- Impact of Text Structures on Student Language in High- and Low-Quality Summaries. -- Examining the contribution of adult mentor interactions in project-based adolescent peer group cohesion. -- Exploring Teacher Positioning through Curriculum Materials: A Quantitative Ethnographic Study Comparing Two Educational Systems. -- Como las mareas del océano: A Quantitative Ethnogra-phy of Caribbean Latino and Afro-Latino Identity and Education in El Norte de Philadelphia. -- Building a Theory of Teacher Knowledge with ENA. -- Strategies for Doctoral Students in Social Sciences and STEM Between China and U.S.. .-Examining Shifts in Elementary Teachers’ Collective Connection Making Between Perspectives When Scoping Ill-Structured Engineering Design Problems. -- The Influence of Different Measurement Approaches on Student Affect Transitions using Ordered Networks. -- Conceptualizing and Understanding Mathematics Teaching Identity in Early-Career Elementary Teachers. -- Model based Analysis to Explore the Patterns of Thinking in an Interactive Learning Environment for Problem-posing. -- How we Code Code: Leveraging GPT and Ordered Networks for Understanding Introductory Programming Education. -- Cultural Discourse. -- Detecting Differences in Community Conversations with Epistemic Network Analysis. -- Civil Discourse as a Depolarization Strategy: An Exploration of Gen Z Dialogue Using Epistemic Network Analysis and Reflexive Thematic Analysis. -- The Application of ENA to Political Discourse in Taiwan: A Case Study. -- Navigating Identity Tides: Perceived Threats and Coping Mechanisms among Bicultural Hong Kong Citizens . |
| Record Nr. | UNINA-9910903796203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Quantitative Ethnography : 6th International Conference, ICQE 2024, Philadelphia, PA, USA, November 3-7, 2024, Proceedings, Part I / / edited by Yoon Jeon Kim, Zachari Swiecki
| Advances in Quantitative Ethnography : 6th International Conference, ICQE 2024, Philadelphia, PA, USA, November 3-7, 2024, Proceedings, Part I / / edited by Yoon Jeon Kim, Zachari Swiecki |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XV, 264 p. 70 illus., 56 illus. in color.) |
| Disciplina | 004.6 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Application software Education - Data processing Computer Communication Networks Computer and Information Systems Applications Computers and Education Etnografia Investigació quantitativa |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031763359
3031763351 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Theory and Methods. -- Epistemic Association Rule Networks: Incorporating Association Rule Mining into the Quantitative Ethnography Toolbox. -- OnDiscuss: An Epistemic Network Analysis Learning Analytics Visualization Tool for Evaluating Asynchronous Online Discussions. -- Bayesian Graph Neural Networks Modeling for Naturally Arisen Leadership. -- Perfect Sampling. -- Computer-supported Code Discovery Utilizing Topic Modeling and Stepwise Coding. -- Assessing the Potential and Limits of Large Language Models in Qualitative Coding. -- Making Sense of the Model: Interpreting Epistemic Networks and their Projection Space. -- Development of ENA 3D: A Tool for Epistemic Networks Analysis in Three-dimensional Space. -- Shifting Paradigms: Trends in Quantitative Ethnography Research at ICQE. -- Teaching and Learning. -- Exploring students’ changing conceptions about eLearning leadership. -- Learning from Student Mistakes: Using Epistemic Network Analysis of Students’ Knowledge of Fractions, Ratios and Percentages to Drive Middle School Instruction. -- Text-Based VS Audio-Based: What differential effects do the two discussion formats have on scientific reasoning?. -- Different Times, Different Measures: Monitoring Shifting Self-Regulation Strategies for Language Learning in Higher Education Across Face-to-Face, Online and Hybrid Instruction. -- Investigating Learner Interest and Observation Patterns in a Minecraft Virtual Astronomy Environment. -- Quantitative Ethnography Reveals Behavioral Elements Associated with Problem-Solving in Wild Chimpanzee Tool-Use. -- “My Inquiry Question Is …”: How Novice Social Studies Educators in Mixed Video Groups Explore Their Teacher Role Identities. -- Enhancing Student Interest and Motivation through Cultural Integration in an Online Global Science, Technology, Engineering and Mathematics Community. -- Navigating Usability Challenges in Collaborative Learning with Augmented Reality. -- Understanding the Impact of Observer Effects on Student Affect. -- Ordered Network Analysis of Prompted Student Discourse in a Collaborative Learning Context. -- Impact of Text Structures on Student Language in High- and Low-Quality Summaries. -- Examining the contribution of adult mentor interactions in project-based adolescent peer group cohesion. -- Exploring Teacher Positioning through Curriculum Materials: A Quantitative Ethnographic Study Comparing Two Educational Systems. -- Como las mareas del océano: A Quantitative Ethnogra-phy of Caribbean Latino and Afro-Latino Identity and Education in El Norte de Philadelphia. -- Building a Theory of Teacher Knowledge with ENA. -- Strategies for Doctoral Students in Social Sciences and STEM Between China and U.S.. .-Examining Shifts in Elementary Teachers’ Collective Connection Making Between Perspectives When Scoping Ill-Structured Engineering Design Problems. -- The Influence of Different Measurement Approaches on Student Affect Transitions using Ordered Networks. -- Conceptualizing and Understanding Mathematics Teaching Identity in Early-Career Elementary Teachers. -- Model based Analysis to Explore the Patterns of Thinking in an Interactive Learning Environment for Problem-posing. -- How we Code Code: Leveraging GPT and Ordered Networks for Understanding Introductory Programming Education. |
| Record Nr. | UNINA-9910903799703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in quantitative ethnography : second international conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, proceedings / / Andrew R. Ruis, Seung B. Lee
| Advances in quantitative ethnography : second international conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, proceedings / / Andrew R. Ruis, Seung B. Lee |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 424 p. 112 illus., 101 illus. in color.) |
| Disciplina | 658.403 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Investigació quantitativa
Etnografia Information Systems and Communication Service Artificial intelligence Computer Communication Networks |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-67788-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483011503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in quantitative ethnography : second international conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, proceedings / / Andrew R. Ruis, Seung B. Lee
| Advances in quantitative ethnography : second international conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, proceedings / / Andrew R. Ruis, Seung B. Lee |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 424 p. 112 illus., 101 illus. in color.) |
| Disciplina | 658.403 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Investigació quantitativa
Etnografia Information Systems and Communication Service Artificial intelligence Computer Communication Networks |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-67788-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464490803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence, Optimization, and Data Sciences in Sports / / edited by Maude J. Blondin, Iztok Fister Jr., Panos M. Pardalos
| Artificial Intelligence, Optimization, and Data Sciences in Sports / / edited by Maude J. Blondin, Iztok Fister Jr., Panos M. Pardalos |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XI, 353 p. 60 illus., 50 illus. in color.) |
| Disciplina | 519.6 |
| Collana | Springer Optimization and Its Applications |
| Soggetto topico |
Mathematical optimization
Artificial intelligence Quantitative research Optimization Artificial Intelligence Data Analysis and Big Data Optimització matemàtica Intel·ligència artificial Investigació quantitativa Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031760471
3031760476 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Artificial Intelligence, Optimization, and Data Sciences in Sports: Editorial -- Chapter 2. Machine Learning for Soccer Match Result Prediction -- Chapter 3. Machine learning for prediction of the index of effec-tiveness in cycling -- Chapter 4. Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements -- Chapter 5. Artificial Intelligence & Machine Learning-Based Data Analytics for Sports. General Overview & NBA Case Study -- Chapter 6. An ecological dynamics approach to the use of Artificial Intelligence and Machine Learning to analyse performance in football -- Chapter 7. A Supervised Learning Approach for Evaluating Football Performances -- Chapter 8. Bridging Route based Cycling Training with Digital Twins -- Chapter 9. Perspectives of Artificial Intelligence in Training and Exercise -- Chapter 10. A fuzzy model for optimise the football rule assuring spectacle, fair play, objectivity and ethics -- Chapter 11. Physical Efficiency in Soccer: Relevance, Correlations and Impacts using AI Methods -- Chapter 12. A PageRank-Based Method for College Football Recruiting Rankings -- Chapter 13. APPLICATIONS OF IMPROVEMENTS TO THE PYTHAGOREAN WON-LOST EXPECTATION IN OPTIMIZING ROSTERS. |
| Record Nr. | UNINA-9910983342603321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence: A Guide for Everyone / / by Arshad Khan
| Artificial Intelligence: A Guide for Everyone / / by Arshad Khan |
| Autore | Khan Arshad |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (278 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Machine learning Quantitative research Artificial Intelligence Machine Learning Data Analysis and Big Data Intel·ligència artificial Aprenentatge automàtic Investigació quantitativa |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031567131
9783031567124 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Chapter. 1. Introduction -- Chapter. 2. Benefits and Disadvantages -- Chapter. 3. AI-Human Relationship -- Chapter. 4. Requirements -- Chapter. 5. Technologies, Techniques, and Components -- Chapter. 6. Building an AI System -- Chapter. 7. Pre-built AI -- Chapter. 8. Measuring AI Performance -- Chapter. 9. Comparing Measurement Methods -- Chapter. 10. Simulating Intelligence -- Chapter. 11. Traditional Goals of AI Research -- Chapter. 12. Additional Goals of AI Research -- Chapter. 13. Machine Learning -- Chapter. 14. Machine Learning Development Process -- Chapter. 15. AI Development Process -- Chapter. 16. AI Sub-fields -- Chapter. 17. AI Categories -- Chapter. 18. Categories based on Functionality -- Appendix. |
| Record Nr. | UNINA-9910878056003321 |
|
Khan Arshad
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations / / Ben Jones
| Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations / / Ben Jones |
| Autore | Jones Ben <1978-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (273 pages) |
| Disciplina | 001.4226 |
| Soggetto topico |
Information visualization
Investigació quantitativa Visualització de la informació |
| ISBN |
1-119-27817-1
1-119-27819-8 1-119-27820-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910554883703321 |
|
Jones Ben <1978->
|
||
| Hoboken, New Jersey : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations / / Ben Jones
| Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations / / Ben Jones |
| Autore | Jones Ben <1978-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (273 pages) |
| Disciplina | 001.4226 |
| Soggetto topico |
Information visualization
Investigació quantitativa Visualització de la informació |
| ISBN |
1-119-27817-1
1-119-27819-8 1-119-27820-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910825947503321 |
|
Jones Ben <1978->
|
||
| Hoboken, New Jersey : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
