| | Neural networks fine-tuning techniques (cambridgecoding.com) |
|
1 point by DrLegend on Sept 29, 2016 | past
|
| | Genetic Ancestry by Analysing 23AndMe Data Using Python (cambridgecoding.com) |
|
2 points by DrLegend on Sept 21, 2016 | past
|
| | Using convolutional nets to recognise images with Keras (cambridgecoding.com) |
|
3 points by DrLegend on Sept 8, 2016 | past
|
| | Implementing a Recommender Systems in Python Using Stochastic Gradient Descent (cambridgecoding.com) |
|
3 points by DrLegend on June 30, 2016 | past
|
| | Implementing your own recommender systems in Python (cambridgecoding.com) |
|
211 points by DrLegend on June 12, 2016 | past | 24 comments
|
| | Finding the best beers in the world with Plotly and Pandas (cambridgecoding.com) |
|
3 points by DrLegend on June 6, 2016 | past
|
| | Randomized search, computational budgets, and new ML algorithms (cambridgecoding.com) |
|
4 points by DrLegend on May 16, 2016 | past
|
| | Detecting the language of a tweet (Python and Scikit-learn) (cambridgecoding.com) |
|
2 points by DrLegend on May 9, 2016 | past
|
| | How to build a computer program that can write (cambridgecoding.com) |
|
4 points by DrLegend on April 11, 2016 | past
|
| | Scanning hyperspace: how to tune machine learning models (cambridgecoding.com) |
|
3 points by DrLegend on April 3, 2016 | past
|
| | The Subjective Eye of Machine Vision (20min Video Talk and PDF) (cambridgecoding.com) |
|
2 points by DrLegend on March 28, 2016 | past
|
| | Misleading modelling: overfitting, cross-validation, the bias-variance trade-off (cambridgecoding.com) |
|
55 points by stared on March 26, 2016 | past | 2 comments
|
| | Misleading modelling: overfitting, cross-validation and bias-variance trade-off (cambridgecoding.com) |
|
2 points by DrLegend on March 25, 2016 | past
|
| | Three quick Python nuggets for beginner Data Scientists (cambridgecoding.com) |
|
1 point by DrLegend on March 6, 2016 | past
|
| | Natural Language Processing Meets Deep Learning (cambridgecoding.com) |
|
18 points by DrLegend on Feb 23, 2016 | past
|
| | Machine Learning – A gentle and structured introduction (cambridgecoding.com) |
|
6 points by DrLegend on Feb 14, 2016 | past
|
| | Exploratory Data Analysis and Interactive Figures with Plotly in Python (cambridgecoding.com) |
|
2 points by DrLegend on Feb 8, 2016 | past
|
| | Using your spam filter in real life (cambridgecoding.com) |
|
3 points by yarapavan on Feb 2, 2016 | past
|
| | Implementing your own spam filter in Python (cambridgecoding.com) |
|
1 point by DrLegend on Jan 25, 2016 | past
|
| | Implementing your own k-nearest neighbour algorithm using Python (cambridgecoding.com) |
|
1 point by DrLegend on Jan 17, 2016 | past
|
| | From Simple Regression to Multiple Regression with Decision Trees (cambridgecoding.com) |
|
1 point by DrLegend on Jan 10, 2016 | past
|
| | Getting Started with Regression and Decision Trees (cambridgecoding.com) |
|
2 points by DrLegend on Jan 3, 2016 | past
|