3 min read
Finding substrings in a numpy vectorized function
Find a needle in a NumPy haystack: unpacking a vectorized approach to matching subsequences in large arrays.
The archive
A record of exploration.
The complete notebook, organised by year. Older posts reflect the tools and thinking of their time.
20225 articles
3 min read
Connecting Colab to a local machine
Use the Colab notebook interface with your own compute. A practical guide to connecting a local runtime.
2 min read
Visualising grid search results
Look beyond the winning score. Explore hyperparameter relationships and model robustness with dendrogram heatmaps.
1 min read
A timer context manager in python
A small Python utility for measuring execution time, built around the context manager protocol.
1 min read
Bootstraping as a technique for building confidence intervals
#statistic #statistics #statistical
202017 articles
2 min read
SGD update and the intuition behind it
#ml #optimisation
2 min read
Randamente pentru fondurile de administrare a pensiilor private (pilon II)
#romanian #pilon-ii #pensii-private
4 min read
Training an RNN with teacher forcing.
#ml #dl #nlp
19 min read
Distilling a Random Forest to a single DecisionTree
On HackerNews there was a topic discussed at some point about ways to distil knowledge from a complex (almost black box) large tree ensemble (a RandomForest with lots ...
5 min read
Converting a DecisionTree into python code
It is sometimes useful to be able to convert a decision tree into and actual useful code snippet. This notebook shows how you’d go around to achieve this.
6 min read
RetinaFace
#ml #dl #face #detection #image #processing
1 min read
Bloom's effect on learning
#learning #teaching
5 min read
3D Morphable Models
#dl #ml #computer #vision #image #processing #face #recognition #deep-fakes
18 min read
Replicating_a_famous_optmisation_gif
There is this chart from Alec Radford that became quite famous for showing a comparative run between different optimizers.
3 min read
Teacher forcing
Training an RNN with teacher forcing. 20200608182759
45 min read
7 min read
8 min read
Building an ai mechanical nose
Working with cool projects
1 min read
Machine learning tools
This is an opinionated presentation where I talk about what are the beginner tools that you need to know, when you want to start doing machine learning.
15 min read
On cross entropy
Cross entropy can be used to define a loss function in machine learning and is usually used when training a classification problem.
3 min read
39 min read
Tutorial on machine translation
import pandas as pd import numpy as np
20195 articles
11 min read
Presidential_elections_visualisations
As I’ve said last time we’re going to do some visualization exercises by using matplotlib animation and some custom made charts.
6 min read
34 min read
28 min read
23 min read
Getting data of an election
Getting data of an election
201811 articles
11 min read
Cluj ml enthusiasts
My last post received quite some responses, but before actually settling on the curricula of the upcoming ML course, I’ve decided to “eat my own lunch” and use ML to a...
1 min read
Cluj Napoca machine learning course
As I’ve said in my last talk at Cluj.AI (the one about Building a recommender system I’m putting together a local course about machine learning.
21 min read
Building a recommender system
Building a recommender system
22 min read
The story of a name
The problem
14 min read
Embeddings explained
Intuition
37 min read
Monitoring media for terrorisim with ai
Goal: SIGINT (i.e. Signals Inteligence)
31 min read
Beating mnist
Summary
8 min read
Mean Shift
Mean Shift Clustering
11 min read
Scikit Learn
Today we will be talking about predicting house prices using Scikit-learn
20 min read
9 min read