Garbled Notes
- Google F1 Server Reading Summary
- TensorFlow Implementation of "A Neural Algorithm of Artistic Style"
- Meanshift Algorithm for the Rest of Us (Python)
- How Does the Number of Hidden Neurons Affect a Neural Network’s Performance
- Why is Keras Running So Slow?
- How to Setup Theano to Run on GPU on Ubuntu 14.04 with Nvidia Geforce GTX 780
- What is Motion-To-Photon Latency?
- How to Move a Servo Using A Keyboard
- Python Live Video Streaming Example
- Visualizing the Differences In L1-norm and L2-norm Loss Function
- First Look in Virtual Reality: Stereoscopy, Panoramas and Panoramic Videos
- How to Select Your Final Models in a Kaggle Competition
- Do You Re-train on the Whole Dataset After Validating the Model?
- Python Doesn’t Use All CPU Cores
- Computational Challenges in Precision Medicine and Genomics
- Explain to Me: Why Train A Model Generatively and Discriminatively
- Tea Time With: An Empirical Comparison of Supervised Learning Algorithms
- Differences between Receiver Operating Characteristic AUC (ROC AUC) and Precision Recall AUC (PR AUC)
- Which is Better : Boosting or Bagging
- Tea Time With: Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations
- Build Your Own Real Time Traffic Data Feed
- Tea time with: Galaxy Zoo: Reproducing Galaxy Morphologies via Machine Learning
- Tea time with: Rapid Object Detection using a Boosted Cascade of Simple Features
- How to Predict A Popular Article with Machine Learning (Part 2)
- When Machine Learning Meets Amazon Web Services (AWS)
- Explain to Me: Generative Classifiers VS Discriminative Classifiers
- Summary: High Performance Browser Networking
- How to Predict A Popular Article with Machine Learning (Part 1)
- Differences between L1 and L2 as Loss Function and Regularization
- Explain to Me : Bayes Theorem
- Differences between the L1-norm and the L2-norm (Least Absolute Deviations and Least Squares)
- Explain to Me : What is the Kernel Trick?
- Getting Started In Machine Learning For Those Who Suck At Mathematics
- Why do We Need a Bias Neuron?
- Data Preprocessing : Rescaling, Normalization and Standardization
- Stacking, Blending and Stacked Generalization
- Improving Classifier Performance With Synthetic Features
- Class Imbalance Problem
- Kaggle Competition Past Solutions
- K-Fold Cross Validation VS Leave-One-Out Cross Validation
- Why Is Training Set Error Zero In SVM and Random Forest?
- Kaggle : Predicting a Biological Response
- Explain To Myself : Ensemble Methods
- A Unicode Reading List
- Explain To Myself : K-Means Algorithm
- Volatile Keyword : What Happens Under The Hood