Hyperopt: A Python library for optimizing machine learning algorithms; SciPy 2013 Published 2013-07-01 Download video MP4 360p Recommendations 55:37 End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks 1:57:36 Optimizing Machine Learning Models & Model Evaluation Metrics 1:34:54 2. Bayesian Optimization 59:33 Hyperparameter Optimization: This Tutorial Is All You Need 1:08:14 Multivariate Time Series Forecasting Using LSTM, GRU & 1d CNNs 43:35 SciPy 2013 Keynote: IPython: the method behind the madness 17:33 A Gentle Introduction To Machine Learning; SciPy 2013 Presentation 39:21 Thomas Huijskens - Bayesian optimisation with scikit-learn 1:20:30 Machine learning - Bayesian optimization and multi-armed bandits 59:44 MD vs Machine: How Artificial Intelligence Will Transform Medicine 42:45 Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022 1:26:12 James A Bednar: Panel: Dashboards for PyData | PyData Austin 2019 24:12 Hyperparameter Tuning of Machine Learning Model in Python 1:42:54 Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis 1:11:27 Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 1 of 4 25:43 Efficient Distributed Hyperparameter Tuning with Apache Spark 51:17 Intro to scikit-learn (I), SciPy2013 Tutorial, Part 1 of 3 Similar videos 10:22 Hypertune Machine Learning Model using HYPER-OPT Library 09:51 Hyperopt-sklearn: Automatic hyperparameter tuning 04:45 AutoML using Hyperopt-Sklearn 02:12 Hyperopt Demo 24:01 Pythran: Enabling Static Optimization of Scientific Python Programs; SciPy 2013 Presentation 50:23 General Introduction to SciPy.Optimize library - Some examples 06:00 HyperOpt tool for hydrogen supply chain optimization 18:51 Integrating Pylearn2 and Hyperopt:Taking Deep Learning Further|SciPy2014|Warde-Farley 15:17 Hypertune Machine Learning Model using SCIKIT-OPTIMIZE 24:16 Skdata: Data sets and algorithm evaluation protocols in Python; SciPy 2013 Presentation 3:04:43 Modern Optimization Methods in Python | SciPy 2015 Tutorial | Mike McKerns 21:07 Python Tools for Coding and Feature Learning; SciPy 2013 Presentation 54:24 1 - Optimize 29:09 Cross validation and hyperopt 06:52 Hyperparameter Tuning in Practice (C2W3L03) More results