Contents 2023 Paper review: FrugalGPT Jun 30 2023 How to train your own ChatGPT Alpaca style, part two May 16 2023 How to train your own ChatGPT Alpaca style, part one Apr 19 2023 Instructions for large language models and AI assistants Apr 01 2023 This is how you code now Mar 22 2023 SpamGPT: watermarking large language models Mar 14 2023 2022 Help with making a new music recommendation dataset Oct 26 2022 2021 How to solve the cheaters problem in online shooter games May 12 2021 2019 How to solve the cheaters problem in Counter Strike, with or without machine learning Nov 12 2019 2018 One weird regularity of the stock market Dec 11 2018 Classifying time series using feature extraction Oct 09 2018 Google’s principles on AI weapons, mass surveillence, and signing out Jul 02 2018 How to use the Python debugger Feb 28 2018 Preparing continuous features for neural networks with GaussRank Jan 22 2018 2017 Two faces of overfitting Dec 05 2017 Goodbooks-10k: a new dataset for book recommendations Nov 29 2017 Revisiting Numerai Oct 17 2017 It’s embarassing, really Sep 18 2017 Introduction to pointer networks Jul 03 2017 Project RHUBARB: predicting mortality in England using air quality data May 22 2017 Tuning hyperparams fast with Hyperband Feb 27 2017 How to use pd.get_dummies() with the test set Jan 30 2017 Data in, predictions out Jan 09 2017 2016 On chatbots Nov 23 2016 Piping in R and in Pandas Oct 10 2016 Deep learning architecture diagrams Sep 28 2016 Factorized convolutional neural networks, AKA separable convolutions Aug 16 2016 How to make those 3D data visualizations Jul 25 2016 Adversarial validation, part two Jun 08 2016 ^one weird trick for training char-^r^n^ns May 31 2016 Adversarial validation, part one May 23 2016 Coming out Apr 01 2016 Bayesian machine learning Mar 28 2016 What next? Feb 18 2016 What is better: gradient-boosted trees, or a random forest? Jan 27 2016 2015 Numerai - like Kaggle, but with a clean dataset, top ten in the money, and recurring payouts Dec 21 2015 What you wanted to know about TensorFlow Nov 30 2015 Predicting sales: Pandas vs SQL Oct 19 2015 An excerpt from The Master Algorithm Sep 22 2015 Evaluating recommender systems Aug 31 2015 Deep nets generating stuff Jun 30 2015 Classifying text with bag-of-words: a tutorial Jun 08 2015 Real-time interactive movie recommendation May 25 2015 The emperor’s new clothes: distributed machine learning Apr 27 2015 What you wanted to know about AI, part II Mar 23 2015 What you wanted to know about AI Mar 16 2015 Juergen Schmidhuber’s answers from the Reddit AMA Mar 05 2015 Torch vs Theano Feb 09 2015 Loading data in Torch (is a mess) Jan 19 2015 2014 Interactive in-browser 3D visualization of datasets Dec 22 2014 How to run external programs from Python and capture their output Nov 24 2014 Geoff Hinton’s Dark Knowledge Oct 31 2014 Vowpal Wabbit, Liblinear/SBM and StreamSVM compared Oct 15 2014 ICLR 2014 tidbits Sep 29 2014 Comparing large-scale linear learners Sep 15 2014 Michael Jordan on deep learning Sep 14 2014 Kaggle vs industry, as seen through lens of the Avito competition Sep 04 2014 Math for machine learning Aug 18 2014 Classifier calibration with Platt’s scaling and isotonic regression Aug 01 2014 Vowpal Wabbit eats big data from the Criteo competition for breakfast Jul 16 2014 Optimizing hyperparams with hyperopt Jun 25 2014 Extreme Learning Machines Jun 25 2014 How a Russian mathematician constructed a decision tree - by hand - to solve a medical problem Jun 08 2014 Yann LeCun’s answers from the Reddit AMA May 26 2014 Impute missing values with Amelia May 08 2014 Converting categorical data into numbers with Pandas and Scikit-learn Apr 30 2014 Predicting happiness from demographics and poll answers Apr 21 2014 Deep learning these days Apr 12 2014 Exclusive Geoff Hinton interview Apr 01 2014 If you use R, you may want RStudio Mar 31 2014 Good representations, distance, metric learning and supervised dimensionality reduction Mar 20 2014 PyBrain - a simple neural networks library in Python Mar 06 2014 Are stocks predictable? Feb 20 2014 Yesterday a kaggler, today a Kaggle master: a wrap-up of the cats and dogs competition Feb 02 2014 Why IPy: reasons for using IPython interactively Jan 25 2014 How to get predictions from Pylearn2 Jan 20 2014 Classifying images with a pre-trained deep network Jan 10 2014 2013 Regularizing neural networks with dropout and with DropConnect Dec 28 2013 A/B testing with bayesian bandits in Google Analytics Dec 15 2013 13 NIPS papers that caught our eye Dec 07 2013 Object recognition in images with cuda-convnet Nov 27 2013 CUDA on a Linux laptop Nov 18 2013 Maxing out the digits Nov 02 2013 How much data is enough? Oct 28 2013 Big data made easy Oct 09 2013 Pylearn2 in practice Oct 06 2013 What you wanted to know about AUC Sep 19 2013 Predicting solar energy from weather forecasts plus a NetCDF4 tutorial Sep 09 2013 Our followers and who else they follow Sep 03 2013 A bag of words and a nice little network Aug 23 2013 Accelerometer Biometric Competition Aug 12 2013 Running things on a GPU Jul 14 2013 Introducing phraug Jul 09 2013 Processing large files, line by line Jul 05 2013 Go non-linear with Vowpal Wabbit Jun 19 2013 Amazon aspires to automate access control Jun 01 2013 More on sparse filtering and the Black Box competition May 25 2013 And deliver us from Weka May 12 2013 Deep learning made easy May 01 2013 Regression as classification Apr 17 2013 Gender discrimination Apr 10 2013 Dimensionality reduction for sparse binary data - an overview Mar 25 2013 Large scale L1 feature selection with Vowpal Wabbit Mar 18 2013 Choosing a machine learning algorithm Mar 07 2013 Dimensionality reduction for sparse binary data Feb 27 2013 Predicting advertised salaries Feb 18 2013 The secret of the big guys Feb 07 2013 A very fast denoising autoencoder Jan 17 2013 Feature selection in practice Jan 14 2013 Intro to random forests Jan 12 2013 Machine learning courses online Jan 07 2013 Madelon: Spearmint’s revenge Jan 04 2013 2012 Spearmint with a random forest Dec 27 2012 Tuning hyperparams automatically with Spearmint Dec 21 2012 Predicting wine quality Dec 07 2012 The Facebook challenge HOWTO Nov 17 2012 So you want to work for Facebook Oct 25 2012 Merck challenge Oct 15 2012 Predicting closed questions on Stack Overflow Oct 05 2012 Best Buy mobile contest - full disclosure Sep 25 2012 Best Buy mobile contest - big data Sep 19 2012 Best Buy mobile contest Sep 17 2012 Running Unix apps on Windows Sep 01 2012 Kaggle job recommendation challenge Aug 27 2012 What you wanted to know about Mean Average Precision Aug 09 2012
Numerai - like Kaggle, but with a clean dataset, top ten in the money, and recurring payouts Dec 21 2015
How a Russian mathematician constructed a decision tree - by hand - to solve a medical problem Jun 08 2014