Deep learning with Python: develop deep learning models on Theano and TensorFlow using Keras J Brownlee Machine Learning Mastery, 2016 | 1391* | 2016 |
Clever algorithms: nature-inspired programming recipes J Brownlee Jason Brownlee, 2011 | 996 | 2011 |
Machine learning algorithms from scratch with Python J Brownlee Machine Learning Mastery, 2016 | 976* | 2016 |
Data preparation for machine learning: data cleaning, feature selection, and data transforms in Python J Brownlee Machine Learning Mastery, 2020 | 681* | 2020 |
A gentle introduction to k-fold cross-validation J Brownlee Machine learning mastery 2019, 2018 | 332 | 2018 |
A gentle introduction to the rectified linear unit (ReLU) J Brownlee Machine learning mastery 6, 2019 | 304 | 2019 |
Supervised and unsupervised machine learning algorithms J Brownlee Machine Learning Mastery 16 (03), 2016 | 303 | 2016 |
Loss and loss functions for training deep learning neural networks J Brownlee Machine Learning Mastery 23, 22, 2019 | 296* | 2019 |
Deep learning for computer vision: image classification, object detection, and face recognition in python J Brownlee Machine Learning Mastery, 2019 | 296 | 2019 |
Long short-term memory networks with python: develop sequence prediction models with deep learning J Brownlee Machine Learning Mastery, 2017 | 271 | 2017 |
Gentle introduction to the adam optimization algorithm for deep learning J Brownlee Machine Learning Mastery 3 (7), 2017 | 260 | 2017 |
What is the Difference Between a Batch and an Epoch in a Neural Network J Brownlee Machine learning mastery 20, 2018 | 253 | 2018 |
A tour of machine learning algorithms J Brownlee Machine Learning Mastery 25, 2013 | 230 | 2013 |
Introduction to time series forecasting with python: how to prepare data and develop models to predict the future J Brownlee Machine Learning Mastery, 2017 | 222 | 2017 |
A gentle introduction to transfer learning for deep learning J Brownlee Machine Learning Mastery 20, 2017 | 176 | 2017 |
Overfitting and underfitting with machine learning algorithms J Brownlee Machine Learning Mastery 21, 575, 2016 | 164 | 2016 |
A gentle introduction to the bag-of-words model J Brownlee Machine Learning Mastery 21, 2017 | 158 | 2017 |
How to choose a feature selection method for machine learning J Brownlee Machine Learning Mastery 10, 2019 | 156 | 2019 |
Why one-hot encode data in machine learning J Brownlee Machine Learning Mastery, 1-46, 2017 | 148 | 2017 |
A gentle introduction to the gradient boosting algorithm for machine learning J Brownlee Machine Learning Mastery 21, 2016 | 148 | 2016 |