Deep learning with Python: develop deep learning models on Theano and TensorFlow using Keras J Brownlee Machine Learning Mastery, 2016 | 1352* | 2016 |
Clever algorithms: nature-inspired programming recipes J Brownlee Jason Brownlee, 2011 | 986 | 2011 |
Machine learning algorithms from scratch with Python J Brownlee Machine Learning Mastery, 2016 | 948* | 2016 |
Data preparation for machine learning: data cleaning, feature selection, and data transforms in Python J Brownlee Machine Learning Mastery, 2020 | 651* | 2020 |
A gentle introduction to k-fold cross-validation J Brownlee Machine learning mastery 2019, 2018 | 325 | 2018 |
Supervised and unsupervised machine learning algorithms J Brownlee Machine Learning Mastery 16 (03), 2016 | 301 | 2016 |
A gentle introduction to the rectified linear unit (ReLU) J Brownlee Machine learning mastery 6, 2019 | 298 | 2019 |
Loss and loss functions for training deep learning neural networks J Brownlee Machine Learning Mastery 23, 22, 2019 | 292* | 2019 |
Deep learning for computer vision: image classification, object detection, and face recognition in python J Brownlee Machine Learning Mastery, 2019 | 285 | 2019 |
Long short-term memory networks with python: develop sequence prediction models with deep learning J Brownlee Machine Learning Mastery, 2017 | 260 | 2017 |
Gentle introduction to the adam optimization algorithm for deep learning J Brownlee Machine Learning Mastery 3 (7), 2017 | 251 | 2017 |
What is the Difference Between a Batch and an Epoch in a Neural Network J Brownlee Machine learning mastery 20, 2018 | 243 | 2018 |
A tour of machine learning algorithms J Brownlee Machine Learning Mastery 25, 2013 | 227 | 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 | 219 | 2017 |
A gentle introduction to transfer learning for deep learning J Brownlee Machine Learning Mastery 20, 2017 | 171 | 2017 |
Overfitting and underfitting with machine learning algorithms J Brownlee Machine Learning Mastery 21, 575, 2016 | 160 | 2016 |
A gentle introduction to the bag-of-words model J Brownlee Machine Learning Mastery 21, 2017 | 155 | 2017 |
How to choose a feature selection method for machine learning J Brownlee Machine Learning Mastery 10, 2019 | 149 | 2019 |
A gentle introduction to the gradient boosting algorithm for machine learning J Brownlee Machine Learning Mastery 21, 2016 | 145 | 2016 |
Why one-hot encode data in machine learning J Brownlee Machine Learning Mastery, 1-46, 2017 | 144 | 2017 |