„learning programming“

Suchergebnisse

1.902 Treffer

• Python. An Introduction to Programming
  Parker, James R. 2021 Mercury Learning and Information
• Tracing distinct learning trajectories in introductory programming course: a sequence analysis of score, engagement, and code metrics for novice computer science vs. math cohorts
  Gao, Zhizezhang ; Yan, Haochen ; Liu, Jiaqi ; Zhang, Xiao ; Lin, Yuxiang ; Zhang, Yingzhi ; Sun, Xia ; Feng, Jun
• Task-To-Processor Assignment for Real-Time Mixed-Critical Networked Systems Using Inductive Logic Programming
  Gualtieri, Marcus ; Juette, Christian ; Dasari, Dakshina 2025 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• A Novel Approach for Water Resources Management to Accurate River Flow Prediction: Utilization of Linear Programming and Weighted Ensemble Learning
  Poursaeid, Mojtaba
• Evidence-Based Management – How to Use Evidence to Make Better Organizational Decisions
  Barends, Eric ; Rousseau, Denise M. 2021 Kogan Page Ltd
• Evidence-Based Management – How to Use Evidence to Make Better Organizational Decisions
  Barends, Eric ; Rousseau, Denise M. 2018 Kogan Page Ltd
• Formal Modelling in Electronic Commerce
  Kimbrough, Steven O. 2005 Springer Berlin
• Machine Learning Using R
  Ramasubramanian, Karthik ; Singh, Abhishek 2017 Apress
• A step-by-step tutorial on machine learning for engineers unfamiliar with programming
  Naser, M. Z.
• Improving students’ programming performance: an integrated mind mapping and generative AI chatbot learning approach
  Ye, Xindong ; Zhang, Wenyu ; Zhou, Yuxin ; Li, Xiaozhi ; Zhou, Qiang
• Predictive maintenance applied to mission critical supercomputing environments: remaining useful life estimation of a hydraulic cooling system using deep learning
  Lima, André Luis da Cunha Dantas ; Aranha, Vítor Moraes ; Nascimento, Erick Giovani Sperandio
• Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning
  Xu, Meng ; Mei, Yi ; Zhang, Fangfang ; Zhang, Mengjie
• Evaluating Deep Learning Advances for Point Cloud Semantic Segmentation in Urban Environments
  Yan, Hailun ; Lau, Albert ; Fan, Hongchao
• Students’ experienced learning from co-invention projects in the context of the Innokas programming and robotics tournament
  Hannula, Elina ; Sormunen, Kati ; Hakkarainen, Kai ; Korhonen, Tiina
• Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts
  Jonsson, Leif ; Borg, Markus ; Broman, David ; Sandahl, Kristian ; Eldh, Sigrid ; Runeson, Per
• Challenges and Trends in Probabilistic Programming (Dagstuhl Seminar 15181)
  Barthe, Gilles ; Gordon, Andrew D. ; Katoen, Joost-Pieter ; McIver, Annabelle
• Cloud-based deep learning-assisted system for diagnosis of sports injuries
  Wu, Xiaoe ; Zhou, Jincheng ; Zheng, Maoxing ; Chen, Shanwei ; Wang, Dan ; Anajemba, Joseph ; Zhang, Guangnan ; Abdelhaq, Maha ; Alsaqour, Raed ; Uddin, Mueen
• Explaining Artificial Intelligence with Care – Analyzing the Explainability of Black Box Multiclass Machine Learning Models in Forensics
  Szepannek, Gero ; Lübke, Karsten
• Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection
  Nayak, Janmenjoy ; Meher, Saroj K. ; Souri, Alireza ; Naik, Bighnaraj ; Vimal, S.
• Answer Set Solving with Generalized Learned Constraints
  Gebser, Martin ; Kaminski, Roland ; Kaufmann, Benjamin ; Lühne, Patrick ; Romero, Javier ; Schaub, Torsten 2016 Schloss Dagstuhl – Leibniz-Zentrum für Informatik