Machine Learning Modeling Pipelines in Production_Quiz
개요Coursera ML Ops Course 3 Quiz 1. Hyperparameter Tuning and Neural Architecture Search Link: https://www.coursera.org/learn/machine-learning-modeling-pipelines-in-production/home/week/1 2. A
개요Coursera ML Ops Course 3 Quiz 1. Hyperparameter Tuning and Neural Architecture Search Link: https://www.coursera.org/learn/machine-learning-modeling-pipelines-in-production/home/week/1 2. A
Journal/Conference: arXiv preprint arXiv:2111.02735Year(published year): 2022Author: Yingzhi Wang, Abdelmoumene Boumadane, Abdelwahab HebaSubject: wav2vec 2.0, HuBERT, speech emotion recognition,
Journal/Conference: arXiv preprint arXiv:2105.01051Year(published year): 2021Author: Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Jeff Lai, Kushal Lakhotia,Yist Y. Lin, Andy T. Liu, Jiaton
Journal/Conference : ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Year(published year): 2022Author: Itai Gat, Hagai Aronowitz, Weizhong Zhu, E
Journal/Conference : ICASSP IEEEYear(published year): 2022Author: Edmilson Morais, Ron Hoory, Weizhong Zhu, Itai Gat, Matheus Damasceno and Hagai AronowitzSubject: Speech Emotion Recognition, sel
개요Coursera ML Ops Course 2 Quiz 1. Intro to MLEP Link: https://www.coursera.org/learn/machine-learning-data-lifecycle-in-production/home/week/1 2. Data Collection 3. Data Labeling
Course Link Lecture 2 in MLOps Data Label Collecting Data You need to make sure that your data covers the same region of your feature space as the prediction request that you’ll get your trai
Journal/Conference : IEEE/ACM Transactions on Audio, Speech, and Language ProcessingYear(published year): 2022Author: Cheng Lu , Yuan Zong , Member, IEEE, Wenming Zheng , Senior Member, IEEE
개요Coursera ML Ops Course 1 Quiz 1. The Machine Learning Project Lifecycle Link: https://www.coursera.org/learn/introduction-to-machine-learning-in-production/home/week/1 2. Deployment 3. Sel
Course Link Lecture 1 in MLOps Overview the key steps involved in a typical machine learning project. It starts with scoping, where the project goals and variables (X and Y) are defined. Data